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  • 1
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    δ13C(organic), C/N mass ratios and %TOC for Continent Ridge core CON01-603-5 (2006)
    Deutsches GeoForschungsZentrum GFZ
    Details
    Publication Date: 2021-08-16
    Description: Abstract
    Description: C/N mass ratios remain constant throughout MIS 3 and into MIS 2, with values between 6.3 and 8.9, indicating no significant terrestrial input of organic matter (Fig. 3). Low %TOC values during the interstadial increase from 0.4 to 0.7 between 57.8 and 43.7 kyr BP with a concurrent gradual increase in δ13C(organic) amid oscillations between −23.2‰ and −26.1‰ (Fig. 3). %TOC falls to 0.4 between 40.9 and 39.4 kyr BP whereas δ13C(organic) remains high at c. 24‰ with a peak value of −23.6‰ at 39.4 kyr BP. The subsequent two-stage increase in %TOC from 39 to 37.9 kyr BP and between 37.3 and 36.9 kyr BP is marked by a period of δ13C(organic) lowering to c. −26.6‰ before δ13C(organic) increases after 37.9 kyr BP to −24.8‰, values comparable to those prior to the %TOC decline at 40.9 kyr BP.
    Keywords: Vereshchagin Long Cores Expedition 2001 ; R/V Vereshchagin ; δ13C ; age (calendar years) ; AMS ; calculation ; Carbon/Nitrogen ratio ; correlation of paleointensity records ; total organic carbon ; AMS
    Language: English
    Type: Dataset , Dataset
    Format: 400 Datapoints
    Format: text/tab-separated-values
    Location Call Number Expected Availability
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    DATA GFZ
  • 2
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    MODIS_ACDNC Adiabatic Cloud Droplet Number Concentration daily value (2005)
    WDCC
    Details
    Publication Date: 2022-04-25
    Description: Cloud droplet number concentration is derived from MODerate Resolution Imager Spectroradiometer (MODIS) data from NASA's Terra platform. The MOD08_D3 daily data (collection 4 processing stream) on a grid of 1x1 degrees is used, which can be downloaded from http://eosdata.gsfc.nasa.gov/daac-bin/MODIS/Data_order.pl. From the joint histrogram of cloud optical thickness (COD) and cloud-top droplet effective radius (CDR) for liquid water clouds, CDNC is diagnosed assuming adiabatic clouds.
    Type: experiment
    Format: NetCDF
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  • 3
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    Climate Simulation with CLM, Scenario B1 run no.1, Data Stream 2: European region MPI-M/MaD (2006)
    WDCC
    Details
    Publication Date: 2022-04-25
    Description: The experiment CLM_B1_1_D2 contains European regional climate simulations of the years 2001-2100 on a rotated grid (CLM non hydrostatic, 0.165 deg. hor. res., see http://www.clm-community.eu ). It is forced by the first (_1_) run of the global IPCC scenario B1 (EH5-T63L31_OM-GR1.5L40_B1_1_6H), which describes a possible future world with global population peaking in mid-century and rapid change in economic structures towards a service and information economy. An introduction of clean and resource efficient technologies was assumed. In data stream 2 (_D2) the output variables of CLM are stored as time series on a rotated grid. The model region starts at -20.8725/-23.7275 (centre of lower left grid box) with rotated North Pole at 39.25/-162.0 (lat/lon). The number of grid points is 255/241 (lat/lon). The sponge zone (numerically unreliable boundary grid points) of the original model output has been cut off. The regional model variables include two-dimensional near surface fields and soil and atmospheric fields on different layers. The soil fields are simulated on 10 different levels with a maximum depth of 15 meters. The atmospheric fields are given on 6 pressure levels (200, 500, 700, 850, 925 and 1000 hPa). The time interval of the output fields ranges from 1 to 3 hours and includes daily output fields, depending on the respective variable. Please contact sga"at"dkrz.de for data request details. See http://sga.wdc-climate.de for more details on CLM simulations in the context of the BMBF funding priority "klimazwei", some useful information on handling climate model data and the data access regulations. The output format is netCDF, experiment with CLM 2.4.11 on NEC-SX6(hurrikan), raw data: /dxul/ut/k/k204095/prism/experiments/B1_1 , /dxul/prj/ir0264/arch/CLM/prism/experiments/B1_1
    Type: experiment
    Format: NetCDF
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    DATA DKRZ
  • 4
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    Climate Simulation with CLM, Scenario B1 run no.2, Data Stream 2: European region MPI-M/MaD (2006)
    WDCC
    Details
    Publication Date: 2022-04-25
    Description: The experiment CLM_B1_2_D2 contains European regional climate simulations of the years 2001-2100 on a rotated grid (CLM non hydrostatic, 0.165 deg. hor. res., see http://www.clm-community.eu ). It is forced by the second (_2_) run of the global IPCC scenario B1 (EH5-T63L31_OM-GR1.5L40_B1_2_6H), which describes a possible future world with global population peaking in mid-century and rapid change in economic structures towards a service and information economy. An introduction of clean and resource efficient technologies was assumed. In data stream 2 (_D2) the output variables of CLM are stored as time series on a rotated grid. The model region starts at -20.8725/-23.7275 (lat/lon in rotated coordinates; centre of lower left grid box) with rotated North Pole at 39.25/-162.0 (lat/lon). The number of grid points is 255/241 (lat/lon). The sponge zone (numerically unreliable boundary grid points) of the original model output has been cut off. The regional model variables include two-dimensional near surface fields, as well as soil and atmospheric fields on different layers. The soil fields are simulated on 10 different levels with a maximum depth of 15 meters. The atmospheric fields are given on 6 pressure levels (200, 500, 700, 850, 925 and 1000 hPa). The time interval of the output fields ranges from 1 to 3 hours and includes daily output fields, depending on the respective variables. Please contact sga"at"dkrz.de for data request details. See http://sga.wdc-climate.de for more details on CLM simulations in the context of the BMBF funding priority "klimazwei", some useful information on handling climate model data and the data access regulations. The output format is netCDF Experiment with CLM 2.4.11 on NEC-SX6(hurrikan) raw data: hpss:/dxul/ut/k/k204095/prism/experiments/B1_2
    Type: experiment
    Format: NetCDF
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    DATA DKRZ
  • 5
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    Climate Simulation with CLM, Scenario B1 run no.1, Data Stream 3: European region MPI-M/MaD (2006)
    WDCC
    Details
    Publication Date: 2022-04-25
    Description: The experiment CLM_B1_1_D3 contains European regional climate simulations of the years 2001-2100 on a regular geographical grid. The data are generated during post processing of the corresponding data stream 2 experiment (CLM_B1_1_D2) of regional climate model runs (CLM non hydrostatic, see http://www.clm-community.eu ). It is forced by the first (_1_) run of the global IPCC scenario B1 (EH5-T63L31_OM-GR1.5L40_B1_1_6H), which describes a possible future world with global population peaking in mid-century and rapid change in economic structures towards a service and information economy. An introduction of clean and resource efficient technologies was assumed. In data stream 3 (_D3) the output variables of CLM data stream 2 and some additionally derived parameters are stored as time series on a regular geographical grid (0.2 degree res.). The transformation has been done via CDO routines. Please note, that none of the variables has been corrected for topographical differences between the two grids. The model domain of data stream 3 covers the European region starting at 34.6/-10.6 (lat/lon, centre of lower left grid box). The number of grid points is 177/238 (lat/lon). For some model variables and additionally derived parameters some statistics on daily, monthly or yearly basis are available. Please contact sga"at"dkrz.de for data request details. See http://sga.wdc-climate.de for more details on CLM simulations in the context of the BMBF funding priority "klimazwei", some useful information on handling climate model data and the data access regulations. The output format is netCDF. Experiment with CLM 2.4.11 on NEC-SX6(hurrikan). raw data: hpss:/dxul/ut/k/k204095/prism/experiments/B1_1 data years 〈 2060: /dxul/ut/k/k204095/prism/experiments/B1_1/outdata/clm/yearnnnn data years 〉 2059: /dxul/prj/ir0264/arch/CLM/prism/experiments/B1_1/outdata/clm/yearnnnn
    Type: experiment
    Format: NetCDF
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    DATA DKRZ
  • 6
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    Climate Simulation with CLM, Climate of the 20th Century run no.1, Data Stream 2: European region MPI-M/MaD (2006)
    WDCC
    Details
    Publication Date: 2022-04-25
    Description: The experiment CLM_C20_1_D2 contains European regional climate simulations of the years 1960-2000 on a rotated grid (CLM non hydrostatic, 0.165 degree hor. resolution, see http://www.clm-community.eu ). The simulations of the 20th century (1960-2000) have been forced by the first (_1_) run of the global 20th century climate (EH5-T63L31_OM-GR1.5L40_20C_1_6H) with observed anthropogenic forcing. In data stream 2 (_D2) the output variables of CLM are stored as time series on a rotated grid. The model region starts at -20.8725/-23.7275 (lat/lon in rotated coordinates; centre of lower left grid box) with an increment of 0.165 degree. The position of the North Pole in the rotated grid is: 39.25/-162.0 (lat/lon). The number of grid points is 255/241 (lat/lon). The sponge zone (numerically unreliable boundary grid points) of the original model output has been cut off. The regional model variables include two-dimensional near surface fields, as well as soil and atmospheric fields on different layers. The soil fields are simulated on 10 different levels with a maximum depth of 15 meters. The atmospheric fields are given on 6 pressure levels (200, 500, 700, 850, 925 and 1000 hPa). The time interval of the output fields ranges from 1 to 3 hours and includes daily output fields, depending on the respective variables. Please contact sga"at"dkrz.de for data request details. See http://sga.wdc-climate.de for more details on CLM simulations in the context of the BMBF funding priority "klimazwei", some useful information on handling climate model data and the data access regulations. The output format is netCDF Experiment with CLM 2.4.11 on NEC-SX6(hurrikan) raw data: hpss:/dxul/ut/k/k204095/prism/experiments/C20_1
    Type: experiment
    Format: NetCDF
    Location Call Number Expected Availability
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    DATA DKRZ
  • 7
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    Climate Simulation with CLM, Climate of the 20th Century run no.1, Data Stream 3: European region MPI-M/MaD (2006)
    WDCC
    Details
    Publication Date: 2022-04-25
    Description: The experiment CLM_C20_1_D3 contains European regional climate simulations of the years 1960-2000 on a regular geographical grid. The data are generated during post processing of the corresponding data stream 2 experiment (CLM_C20_1_D2) of regional climate model runs (CLM non hydrostatic, see http://www.clm-community.eu ). The simulations of the 20th century (1960-2000) have been forced by the first (_1_) run of the global 20th century climate (EH5-T63L31_OM-GR1.5L40_20C_1_6H) with observed anthropogenic forcing. In data stream 3 (_D3) the output variables of CLM data stream 2 and some additionally derived parameters are stored as time series on a regular grid with a horizontal spacing of 0.2 degree. The model parameters have been transformed onto the regular geographical grid by the CDO routines. Please note, that none of the variables has been corrected for topographical differences between the two grids. The model domain of data stream 3 covers the European region starting at 34.6/-10.6 (lat/lon, centre of lower left grid box) with an increment of 0.2 degree. The number of grid points is 177/238 (lat/lon). For some model variables and additionally derived parameters some statistics on daily, monthly or yearly basis are available. See also http://sga.wdc-climate.de for a list of available parameters. Please contact sga"at"dkrz.de for data request details. See http://sga.wdc-climate.de for more details on CLM simulations in the context of the BMBF funding priority "klimazwei", some useful information on handling climate model data and the data access regulations. The output format is netCDF Experiment with CLM 2.4.11 on NEC-SX6(hurrikan) raw data: hpss:/dxul/ut/k/k204095/prism/experiments/C20_1
    Type: experiment
    Format: NetCDF
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  • 8
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    Climate Simulation with CLM, Scenario A1B run no.1, Data Stream 3: European region MPI-M/MaD (2006)
    WDCC
    Details
    Publication Date: 2022-04-25
    Description: The experiment CLM_A1B_1_D3 contains European regional climate simulations of the years 2001-2100 on a regular geographical grid. The data are generated during post processing of the corresponding data stream 2 experiment (CLM_A1B_1_D2) of regional climate model runs (CLM non hydrostatic, see http://www.clm-community.eu ). It is forced by the first (_1_) run of the global IPCC scenario A1B (EH5-T63L31_OM-GR1.5L40_A1B_1_6H), which describes a possible future world of very rapid economic growth, global population peaking in mid-century and rapid introduction of new and more efficient technologies with a balance across all energy sources. In data stream 3 (_D3) the output variables of CLM data stream 2 and some additionally derived parameters are stored as time series on a regular geograhical grid (0.2 deg. hor. res.). The transformation has been done via CDO routines. Please note, that none of the variables has been corrected for topographical differences between the two grids. The model domain of data stream 3 covers the European region starting at 34.6/-10.6 (lat/lon, centre of lower left grid box) with an increment of 0.2 degree. The number of grid points is 177/238 (lat/lon). For some model variables and additionally derived parameters some statistics on daily, monthly or yearly basis are available. See also http://sga.wdc-climate.de for a list of available parameters. Please contact sga"at"dkrz.de for data request details. See http://sga.wdc-climate.de for more details on CLM simulations in the context of the BMBF funding priority "klimazwei", some useful information on handling climate model data and the data access regulations. The output format is netCDF Experiment with CLM 2.4.11 on NEC-SX6(hurrikan) raw data: hpss:/dxul/ut/k/k204095/prism/experiments/A1B_1
    Type: experiment
    Format: NetCDF
    Location Call Number Expected Availability
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    DATA DKRZ
  • 9
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    Climate Simulation with CLM, Scenario A1B run no.1, Data Stream 2: European region MPI-M/MaD (2006)
    WDCC
    Details
    Publication Date: 2022-04-25
    Description: The experiment CLM_A1B_1_D2 contains European regional climate simulations of the years 2001-2100 on a rotated grid (CLM non hydrostatic, 0.165 deg. hor. resolution, see http://www.clm-community.eu ). It is forced by the first (_1_) run of the global IPCC scenario A1B (EH5-T63L31_OM-GR1.5L40_A1B_1_6H), which describes a possible future world of very rapid economic growth, global population peaking in mid-century and rapid introduction of new and more efficient technologies with a balance across all energy sources. In data stream 2 (_D2) the output variables of CLM are stored as time series on a rotated grid. The model region starts at -20.8725/-23.7275 (lat/lon in rotated coordinates; centre of lower left grid box) with rotated North Pole at 39.25/-162.0 (lat/lon). The number of grid points is 255/241 (lat/lon). The sponge zone (numerically unreliable boundary grid points) of the original model output has been cut off. The regional model variables include two-dimensional near surface fields, as well as soil and atmospheric fields on different layers. The soil fields are simulated on 10 different levels with a maximum depth of 15 meters. The atmospheric fields are given on 6 pressure levels (200, 500, 700, 850, 925 and 1000 hPa). The time interval of the output fields ranges from 1 to 3 hours and includes daily output fields, depending on the respective variables. Please contact sga"at"dkrz.de for data request details. See http://sga.wdc-climate.de for more details on CLM simulations in the context of the BMBF funding priority "klimazwei", some useful information on handling climate model data and the data access regulations. The output format is netCDF Experiment with CLM 2.4.11 on NEC-SX6(hurrikan) raw data: hpss:/dxul/ut/k/k204095/prism/experiments/A1B_1
    Type: experiment
    Format: NetCDF
    Location Call Number Expected Availability
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    DATA DKRZ
  • 10
    facet.materialart.
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    Climate Simulation with CLM, Scenario B1 run no.2, Data Stream 3: European region MPI-M/MaD (2006)
    WDCC
    Details
    Publication Date: 2022-04-25
    Description: The experiment CLM_B1_2_D3 contains European regional climate simulations of the years 2001-2100 on a regular geographical grid. The data are generated during post processing of the corresponding data stream 2 experiment (CLM_B1_2_D2) of regional climate model runs (CLM non hydrostatic, see http://www.clm-community.eu ). It is forced by the second (_2_) run of the global IPCC scenario B1 (EH5-T63L31_OM-GR1.5L40_B1_2_6H), which describes a possible future world with global population peaking in mid-century and rapid change in economic structures towards a service and information economy. An introduction of clean and resource efficient technologies was assumed. In data stream 3 (_D3) the output variables of CLM data stream 2 and some additionally derived parameters are stored as time series on a regular geograhical grid (0.2 deg. hor. res.). The transformation has been done via CDO routines. Please note, that none of the variables has been corrected for topographical differences between the two grids. The model domain of data stream 3 covers the European region starting at 34.6/-10.6 (lat/lon, centre of lower left grid box) with an increment of 0.2 degree. The number of grid points is 177/238 (lat/lon). For some model variables and additionally derived parameters some statistics on daily, monthly or yearly basis are available. See also http://sga.wdc-climate.de for a list of available parameters. Please contact sga"at"dkrz.de for data request details. See http://sga.wdc-climate.de for more details on CLM simulations in the context of the BMBF funding priority "klimazwei", some useful information on handling climate model data and the data access regulations. The output format is netCDF Experiment with CLM 2.4.11 on NEC-SX6(hurrikan) raw data: hpss:/dxul/ut/k/k204095/prism/experiments/B1_2
    Type: experiment
    Format: NetCDF
    Location Call Number Expected Availability
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    DATA DKRZ
  • 11
    facet.materialart.
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    Climate Simulation with CLM, Scenario A1B run no.2, Data Stream 2: European region MPI-M/MaD (2006)
    WDCC
    Details
    Publication Date: 2022-04-25
    Description: The experiment CLM_A1B_2_D2 contains European regional climate simulations of the years 2001-2100 on a rotated grid (CLM non hydrostatic, 0.165 deg. hor. resolution, see http://www.clm-community.eu ). It is forced by the second (_2_) run of the global IPCC scenario A1B (EH5-T63L31_OM-GR1.5L40_A1B_2_6H), which describes a possible future world of very rapid economic growth, global population peaking in mid-century and rapid introduction of new and more efficient technologies with a balance across all energy sources. In data stream 2 (_D2) the output variables of CLM are stored as time series on a rotated grid. The model region starts at -20.8725/-23.7275 (lat/lon in rotated coordinates; centre of lower left grid box) with rotated North Pole at 39.25/-162.0 (lat/lon). The number of grid points is 255/241 (lat/lon). The sponge zone (numerically unreliable boundary grid points) of the original model output has been cut off. The regional model variables include two-dimensional near surface fields, as well as soil and atmospheric fields on different layers. The soil fields are simulated on 10 different levels with a maximum depth of 15 meters. The atmospheric fields are given on 6 pressure levels (200, 500, 700, 850, 925 and 1000 hPa). The time interval of the output fields ranges from 1 to 3 hours and includes daily output fields, depending on the respective variables. Please contact sga"at"dkrz.de for data request details. See http://sga.wdc-climate.de for more details on CLM simulations in the context of the BMBF funding priority "klimazwei", some useful information on handling climate model data and the data access regulations. The output format is netCDF Experiment with CLM 2.4.11 on NEC-SX6(hurrikan) raw data: hpss:/dxul/ut/k/k204095/prism/experiments/A1B_2
    Type: experiment
    Format: NetCDF
    Location Call Number Expected Availability
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    DATA DKRZ
  • 12
    facet.materialart.
    Unknown
    Climate Simulation with CLM, Climate of the 20th Century run no.2, Data Stream 2: European region MPI-M/MaD (2007)
    WDCC
    Details
    Publication Date: 2022-04-25
    Description: The experiment CLM_C20_2_D2 contains European regional climate simulations of the years 1960-2000 on a rotated grid (CLM non hydrostatic, 0.165 degree hor. resolution, see http://www.clm-community.eu ). The simulations of the 20th century (1960-2000) have been forced by the second (_2_) run of the global 20th century climate (EH5-T63L31_OM-GR1.5L40_20C_2_6H) with observed anthropogenic forcing. In data stream 2 (_D2) the output variables of CLM are stored as time series on a rotated grid. The model region starts at -20.8725/-23.7275 (lat/lon in rotated coordinates; centre of lower left grid box) with an increment of 0.165 degree. The position of the North Pole in the rotated grid is: 39.25/-162.0 (lat/lon). The number of grid points is 255/241 (lat/lon). The sponge zone (numerically unreliable boundary grid points) of the original model output has been cut off. The regional model variables include two-dimensional near surface fields, as well as soil and atmospheric fields on different layers. The soil fields are simulated on 10 different levels with a maximum depth of 15 meters. The atmospheric fields are given on 6 pressure levels (200, 500, 700, 850, 925 and 1000 hPa). The time interval of the output fields ranges from 1 to 3 hours and includes daily output fields, depending on the respective variables. Please contact sga"at"dkrz.de for data request details. See http://sga.wdc-climate.de for more details on CLM simulations in the context of the BMBF funding priority "klimazwei", some useful information on handling climate model data and the data access regulations. The output format is netCDF Experiment with CLM 2.4.11 on NEC-SX6(hurrikan) raw data: hpss:/dxul/ut/k/k204095/prism/experiments/C20_2
    Type: experiment
    Format: NetCDF
    Location Call Number Expected Availability
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    DATA DKRZ
  • 13
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    Climate Simulation with CLM, Scenario A1B run no.2, Data Stream 3: European region MPI-M/MaD (2006)
    WDCC
    Details
    Publication Date: 2022-04-25
    Description: The experiment CLM_A1B_2_D3 contains European regional climate simulations of the years 2001-2100 on a regular geographical grid. The data are generated during post processing of the corresponding data stream 2 experiment (CLM_A1B_2_D2) of regional climate model runs (CLM non hydrostatic, see http://www.clm-community.eu ). It is forced by the second (_2_) run of the global IPCC scenario A1B (EH5-T63L31_OM-GR1.5L40_A1B_2_6H), which describes a possible future world of very rapid economic growth, global population peaking in mid-century and rapid introduction of new and more efficient technologies with a balance across all energy sources. In data stream 3 (_D3) the output variables of CLM data stream 2 and some additionally derived parameters are stored as time series on a regular geograhical grid (0.2 deg. hor. res.). The transformation has been done via CDO routines. Please note, that none of the variables has been corrected for topographical differences between the two grids. The model domain of data stream 3 covers the European region starting at 34.6/-10.6 (lat/lon, centre of lower left grid box) with an increment of 0.2 degree. The number of grid points is 177/238 (lat/lon). For some model variables and additionally derived parameters some statistics on daily, monthly or yearly basis are available. See also http://sga.wdc-climate.de for a list of available parameters. Please contact sga"at"dkrz.de for data request details. See http://sga.wdc-climate.de for more details on CLM simulations in the context of the BMBF funding priority "klimazwei", some useful information on handling climate model data and the data access regulations. The output format is netCDF Experiment with CLM 2.4.11 on NEC-SX6(hurrikan) raw data: hpss:/dxul/ut/k/k204095/prism/experiments/A1B_2
    Type: experiment
    Format: NetCDF
    Location Call Number Expected Availability
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    DATA DKRZ
  • 14
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    Climate Simulation with CLM, Climate of the 20th Century run no.2, Data Stream 3: European region MPI-M/MaD (2007)
    WDCC
    Details
    Publication Date: 2022-04-25
    Description: The experiment CLM_C20_2_D3 contains European regional climate simulations of the years 1960-2000 on a regular geographical grid. The data are generated during post processing of the corresponding data stream 2 experiment (CLM_C20_2_D2) of regional climate model runs (CLM non hydrostatic, see http://www.clm-community.eu ). The simulations of the 20th century (1960-2000) have been forced by the second (_2_) run of the global 20th century climate (EH5-T63L31_OM-GR1.5L40_20C_2_6H) with observed anthropogenic forcing. In data stream 3 (_D3) the output variables of CLM data stream 2 and some additionally derived parameters are stored as time series on a regular grid with a horizontal spacing of 0.2 degree. The model parameters have been transformed onto the regular geographical grid by the CDO routines. Please note, that none of the variables has been corrected for topographical differences between the two grids. The model domain of data stream 3 covers the European region starting at 34.6/-10.6 (lat/lon, centre of lower left grid box) with an increment of 0.2 degree. The number of grid points is 177/238 (lat/lon). For some model variables and additionally derived parameters some statistics on daily, monthly or yearly basis are available. See also http://sga.wdc-climate.de for a list of available parameters. Please contact sga"at"dkrz.de for data request details. See http://sga.wdc-climate.de for more details on CLM simulations in the context of the BMBF funding priority "klimazwei", some useful information on handling climate model data and the data access regulations. The output format is netCDF Experiment with CLM 2.4.11 on NEC-SX6(hurrikan) raw data: hpss:/dxul/ut/k/k204095/prism/experiments/C20_2
    Type: experiment
    Format: NetCDF
    Location Call Number Expected Availability
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  • 15
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    Hamburg Ocean Atmosphere Parameters and Fluxes from Satellite Data - HOAPS-3 - monthly mean (2007)
    WDCC
    Details
    Publication Date: 2022-04-25
    Description: The Hamburg Ocean Atmosphere Parameters and Fluxes from Satellite Data (HOAPS) set is a completely satellite based climatology of precipitation, evaporation and freshwater budget (evaporation minus precipitation) as well as related turbulent heat fluxes and atmospheric state variables over the global ice free oceans. All variables are derived from SSM/I passive microwave radiometers, except for the SST, which is taken from AVHRR measurements. The data set includes multi-satellite averages, inter-sensor calibration, and an efficient sea ice detection procedure. Changes in this version are a prolonged time series, now containing data from 1987 to 2005, a new neural network based precipitation algorithm, and inclusion of the RSMAS/NODC Pathfinder Version 5 SST fields. Additionally a new 85 GHz synthesis procedure has been implemented for the time period to compensate for the missing channel information on DMSP F08, see accuracy report. Apart from monthly and pentad (5-day) means on a global 0.5 deg. x 0.5 deg. grid, twice daily multi-satellite composite data on a global 1 x 1 grid are available.
    Type: experiment
    Format: NetCDF
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  • 16
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    dphase_larsimbw: hydrological model LARSIM (Baden-Wuerttemberg) forecasts run by LUBW for the MAP D-PHASE project (2009)
    WDCC
    Details
    Publication Date: 2022-04-25
    Description: LARSIM (LARSIM=LArge Area Runoff Simulation Model BW= Baden-Wuerttemberg) is described in "Freiburger Schriften zur Hydrologie", Band 22. 2006 (Ludwig, K.; Bremicker, M.: The water Balance Model LARSIM) The calculated results from LARSIM for the gauges Murg at Rotenfels and Kinzig at Schwaibach were handed over. The results are calcultaed in operational mode of the flood forecasting centre Karlsruhe (HVZ). The forecasts were corrected with ARIMA (0,1,0), i.e. the forecasted discharges were shifted with a constant amount, so, that the first forecast value attaches directly to the last measured value. During low water periods, the forecast is adapted to the average value of the last 24 h of the measured values. The forecasts were calculated for 72 hours. The runs driven by the DWD forecast LMK takes the LMK (new name: COSMO-DE) for the first 21 hours and then the LME-forecast. The runs called LME take only the LME (new name: COSMO-EU) forecast into accuont. For the period up to the forecast time measured values were used. The model uses precipitation, temperature, wind velocity, dew point or rel. humidity and the solar radiation. The measurement network uses the stations of the German Weatherservice DWD, the stations of the federal state Baden-Wuerttemberg (called "LUBW Luft" and "LUBW Ombro") and stations of third parties. The measurement network is very dense, but the equipement of the different stations may be dissimilar. You can see the network of the precipitation stations at http://www.hvz.baden-wuerttemberg.de/ -〉 Niederschlag -〉 Stationskarte. The forecasts were performed by the Flood Forecasting Centre Karlsruhe (HVZ) with its operational model "Oberrheinzf" (for Oberrheinzufluesse = tributaries of the river Rhine). The HVZ is part of the "Landesanstalt fuer Umwelt, Messungen und Naturschutz Baden-Wuerttemberg" (LUBW)". The model covers the region: 7°42' / 48°04' und 8°33' / 49°02'
    Type: experiment
    Format: zip-file
    Format: XML
    Format: NetCDF
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  • 17
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    cops_radk_cband: radar data from C-Band Doppler Radar run by FZK-IMK during COPS 2007 (2009)
    WDCC
    Details
    Publication Date: 2022-04-25
    Description: Reflectivity and radial velocity of Karlsruhe C-Band Doppler Radar located at Forschungszentrum Karlsruhe. Volume data in polar coordinates are delivered. Two scans have been performed: 1. 14 Elevation volume scan of reflectivity and radial velocity starting at 0.4 deg elevation up to 30 deg elevation, 120 km range, 500 m resolution, dual PRF (pulse repetition frequency; 1153 Hz/864 Hz): reflectivity and radial velocity. 2. 14 Elevation volume scan as 1, but only single PRF: reflectivity. The data is provided in two different data sets: reflectivity (ca. every 5 min; data from both scan modi) and radial_velocity (every 10 min; data from 1st scan mode).
    Type: dataset_group
    Format: netCDF.gz
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  • 18
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    cops_suph_cradar: data of 35 GHz cloud radar run by FZK-IMK during COPS 2007 (2009)
    WDCC
    Details
    Publication Date: 2022-04-25
    Description: Profiles of the 35 GHz cloud radar MIRA36-S at COPS-Supersite Hornisgrinde. Containing reflectivity, radial Doppler velocity, spectral width and LDR (linear depolarisation ratio). Different scan modi are possible during one day. See more information on measurement times/scan modi in entry "cops_suph_cradar_info_1". Data available from 01.06.2007 to 06.08.2007 and 24.08.2007 to 31.08.2007.
    Type: dataset_group
    Format: netCDF.gz
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  • 19
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    cops_nsod_ubt: wind data from sodar-RASS run by University of Bayreuth during COPS 2007 (2009)
    WDCC
    Details
    Publication Date: 2022-04-25
    Description: The Sodar/RASS device installed at Fussbach consisted of a DSDPA.90/64-Sodar and a DSDR3x7-1290MHz-RASS extension by METEK GmbH. It operated with an averaging period of 10 min. The minimum measurement height was 40 m and the maximum measurement height 700 m with a step width of 20 m in between.
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  • 20
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    dphase_cosmoch7: COSMO model forecasts (7 km) run by MeteoSwiss for the MAP D-PHASE project (2007)
    WDCC
    Details
    Publication Date: 2022-04-25
    Description: - operational model of MeteoSwiss - configuration: Leap frog time integration; Tiedtke convection scheme with moisture convergence closure; two layer soil module (likely to be changed during DOP); prognostic TKE, qr and qs; no graupel scheme - forecast range 72h starting at 00UTC and 12UTC. Missing time steps are filled with dummy text files. Grid description: DDOM: xfirst: -6.1875 yfirst: -14.625 xsize: 201.0 ysize: 121.0 xinc:0.0625 yinc: 0.0625 xnpole: -170.0 ynpole: 32.5
    Type: experiment
    Format: tar-File(s)
    Format: XML
    Format: GRIB1; records separated
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  • 21
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    dphase_aladfr: ALADIN-France operational model forecasts run by Meteo-France for the MAP D-PHASE project (2007)
    WDCC
    Details
    Publication Date: 2022-04-25
    Description: ALADIN is the operational model at Meteo-France. The horizontal resolution is 9.5km, the time step : 415s with a Semi-lagrangian scheme. There are 46 vertical levels with 15 levels below 3000m. The domain of the integration is : (-11.84W, 33.14E) (25N,56.95N) Physical parameterization: - the micro-physics scheme use 4 prognostic variables: liquid and ice cloud water, rain and snow. - the convection scheme is based on Bougeault (1985) with a donwdraft parameterization. - the operational ECMWF radiation code which is called every 60 minutes. - the burbulence is based on Louis's function with an interactive mixing length. ALADIN is coupled with ARPEGE every 3 hours and has its own assimilation system based on 3DVAR. The post-processing in GRIB files is done on a regular LAT-LON Grid with a 0.1 deg resolution on the DPHASE domain. ALADIN-FRANCE daily performs 54h forecasts starting at 0TU, 6TU, 12TU, 18TU (only the 0UTC forecast until 30h is sent) Grid description: DDOM: xfirst: 2.0 yfirst: 43.0 xsize: 161.0 ysize: 71.0 xinc: 0.1 yinc: 0.1 xnpole: 0.0 ynpole: 0.0
    Type: experiment
    Format: tar-File(s)
    Format: XML
    Format: GRIB1; records separated
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  • 22
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    dphase_isacmol: MOLOCH high-resolution forecasts driven by GFS forecasts run by ISAC-CNR for the MAP D-PHASE project (2007)
    WDCC
    Details
    Publication Date: 2022-04-25
    Description: The forecasting chain is based on the 00 UTC, GFS forecasts at 0.5 degree resolution. The chain comprises the hydrostatic model BOLAM, which is driven directly by the global model, and the non-hydrostatic model MOLOCH (horizontal resolution 0.02 degrees), which is nested in cascade using a 1-way nesting procedure. BOLAM run starts at 00 UTC, MOLOCH is nested at 09 UTC. MOLOCH domain is smaller than official DPHASE domain. A 39-h MOLOCH forecast is provided daily. Only a sub-set of TIGGE list is provided (see DS). More information available here: http://www.isac.cnr.it/~dinamica/ Grid description: lat-lon Arakawa C grid. Rotated equidistant grid. DDOM: xfirst: -2.69 yfirst: -1.84 xsize: 340.0 ysize: 290.0 xinc: 0.02 yinc: 0.02 xnpole: -171.0 ynpole: 44.7
    Type: experiment
    Format: XML
    Format: GRIB1;records separated;bz2-zip
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  • 23
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    dphase_isacmol2: MOLOCH high-resolution forecasts driven by ECMWF forecasts run by ISAC-CNR for the MAP D-PHASE project (2007)
    WDCC
    Details
    Publication Date: 2022-04-25
    Description: The forecasting chain is based on the 18 UTC, ECMWF forecasts at 0.25 degree resolution. The chain comprises the hydrostatic model BOLAM, which is driven directly by the global model, and the non-hydrostatic model MOLOCH (horizontal resolution 0.02 degrees), which is nested in cascade using a 1-way nesting procedure. BOLAM run starts at 18 UTC, MOLOCH is nested at 00 UTC. MOLOCH domain is smaller than official DPHASE domain. A 48-h MOLOCH forecast is provided daily. Only a sub-set of TIGGE list is provided (see DS). More information available here: http://www.isac.cnr.it/~dinamica/ Grid description: lat-lon Arakawa C grid. Rotated equidistant grid. DDOM: xfirst: -3.5 yfirst: -14.0 xsize: 330.0 ysize: 290.0 xinc: 0.021 yinc: 0.02 xnpole: -170.0 ynpole: 32.5
    Type: experiment
    Format: XML
    Format: GRIB1;records separated;bz2-zip
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  • 24
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    cops_nebt_ubt_mast: Profile data of wind speed, temperature and water vapor pressure at profile mast run by University of Bayreuth during COPS 2007 (2009)
    WDCC
    Details
    Publication Date: 2022-04-25
    Description: The 9 m profile mast run by University of Bayreuth continuously measured profiles of the wind speed, the air temperature and the water vapor pressure above a corn field with a sampling frequency of 1 Hz averaged to 1 min values within the data logger. Six cup anemometers and five psychrometers have been mounted in different heights. After a check for plausibility the 1 min values have been averaged to 30 min intervals, which are provided in this data set. The following instruments have been installed for the parameters given below: - wind speed: F460 cup anemometer (Climatronics Corp.) - temperature and water vapor pressure: electrically aspirated psychrometer (Frankenberger) The water vapor pressure has been calculated from the measured dry and moist thermometer temperatures of the psychrometer according to Sprung's psychrometer formula.
    Type: dataset_group
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  • 25
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    cops_suph_dlidar: lidar data of 2mu Doppler Lidar run by FZK/IMK-TRO during COPS 2007 (2009)
    WDCC
    Details
    Publication Date: 2022-04-25
    Description: Lidar data of 2mu Doppler Lidar run by FZK/IMK-TRO at COPS-Supersite Hornisgrinde. The windtracer is a commercial Doppler Lidar from LMCT. It can be operated in scanning and slant path mode. The data is direct output of the Real Time Lidar Data Processing Unit containing UTC, scanner position, rangegates and measured line_of_sight_velocity, signal to noise ratio (SNR), and aerosol backscatter signal derived from SNR. The wind profile is calculated automatically using VAD algorithm for 10 minutes intervals. No manual quality control is applied.
    Type: dataset_group
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  • 26
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    Climate Simulation with CLM, Climate of the 20th Century run no.3, Data Stream 2: European region MPI-M/MaD (2007)
    WDCC
    Details
    Publication Date: 2022-04-25
    Description: The experiment CLM_C20_3_D2 contains European regional climate simulations of the years 1960-2000 on a rotated grid (CLM non hydrostatic, 0.165 degree hor. resolution, see http://www.clm-community.eu ). The simulations of the 20th century (1960-2000) have been forced by the third (_3_) run of the global 20th century climate (EH5-T63L31_OM-GR1.5L40_20C_3_6H) with observed anthropogenic forcing. In data stream 2 (_D2) the output variables of CLM are stored as time series on a rotated grid. The model region starts at -20.8725/-23.7275 (lat/lon in rotated coordinates; centre of lower left grid box) with an increment of 0.165 deg. The position of the North Pole in the rotated grid is: 39.25/-162.0 (lat/lon). The number of grid points is 255/241 (lat/lon). The sponge zone (numerically unreliable boundary grid points) of the original model output has been cut off. The regional model variables include two-dimensional near surface fields, as well as soil and atmospheric fields on different layers. The soil fields are simulated on 10 different levels with a maximum depth of 15 meters. The atmospheric fields are given on 6 pressure levels (200, 500, 700, 850, 925 and 1000 hPa). The time interval of the output fields ranges from 1 to 3 hours and includes daily output fields, depending on the respective variables. Please contact sga"at"dkrz.de for data request details. See http://sga.wdc-climate.de for more details on CLM simulations in the context of the BMBF funding priority "klimazwei", some useful information on handling climate model data and the data access regulations. The output format is netCDF Experiment with CLM 2.4.11 on NEC-SX6 (Stuttgart) raw data: /ut/6/k204095/imdi/experiments/C20_3/outdata/clm
    Type: experiment
    Format: NetCDF
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  • 27
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    ECHOG_A15_PRI: 2000 year control run of preindustrial climate (DEKLIM-EEM project), monthly mean values (2006)
    WDCC
    Details
    Publication Date: 2022-04-25
    Description: The purpose of the project DEKLIM-EEM is to reconstruct past interglacials based on proxy data and to understand the processes that are responsible for climatic changes during these interglacials by applying climate models. The data represent monthly average value of a simulation of the preindustrial climate (PRI) at around 1800 yr AD. Boundary conditions are equivalent to the other simulations of the project, apart from the concentration of greenhouse gases and orbital parameters: Greenhouse gas concentrations are derived from vostok ice core data: 280 ppmV CO2, 0.70 ppmV CH4 and 265 ppbV N2O. CFCs are set to zero. Orbital parameters have been calculated with the routine of Berger (1978): Eccentricity: 0.0167; Obliquity: 23.44; Perihelion: 282.7 The simulation has been started with the Levitus ocean climatology. ECHO-G is used as climate model. It is a coupled atmosphere/ocean model (ECHAM4_T30 + HOPE-E_T42er). The simulation was run on a NEC-SX6 (hurrikan). Atmospheric data were originally stored by the model every 12 hours. Ocean data is stored every month. As the boundary conditions are not time dependent, the time access is arbitrary. Related experiments: - ECHOG_A16_LIG control run, last interglacial (Eemian, 125 kyrBP, DEKLIM-EEM project), started with Levitus climatology, monthly mean values - ECHOG_A40_LGI: control run, last glacial inception (End of the Eemian, 115 kyrBP, DEKLIM-EEM project), started with Levitus climatology, monthly mean values.
    Type: experiment
    Format: GRIB
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  • 28
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    ECHOG_A40_LGI: Control Run for the Last Glacial Inception (End of the Eemian, 115 kyrBP, DEKLIM-EEM project),monthly mean values (2006)
    WDCC
    Details
    Publication Date: 2022-04-25
    Description: The purpose of the project DEKLIM-EEM is to reconstruct past interglacials based on proxy data and to understand the processes that are responsible for climatic changes during these interglacials by applying climate models. The data represent monthly average value of a simulation of the Last Glacial Inception (LGI) at 115000 years before present(End of the Eemian). Boundary conditions are the same as in the preindustrial control run (ECHOG_A15_PRI), apart from the concentration of greenhouse gases and orbital parameters: Greenhouse gas concentrations are derived from vostok ice core data: 265 ppmV CO2, 0.52 ppmV CH4 and 270 ppbV N2O. Orbital parameters have been calculated with the routine of Berger (1978): Eccentricity: 0.0414; Obliquity: 22.41; Perihelion: 290.9 The simulation has been started with the Levitus ocean climatology. ECHO-G is used as climate model. It is a coupled atmosphere/ocean model(ECHAM4_T30 + HOPE-E_T42er). The simulation was run on a NEC-SX6(hurrikan). Atmospheric data were originally stored by the model every 12 hours. Ocean data is stored every month. As the boundary conditions are not time dependent, the time access is arbitrary. Related experiments: ECHOG_A15_PRI preindustrial control run (ca. 1800 A.D.; run a15), started with Levitus climatology. ECHOG_A16_LIG control run, last interglacial (Eemian, 125 kyrBP; run a16), started with Levitus climatology.
    Type: experiment
    Format: GRIB
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  • 29
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    dphase_mm5_2_4d: MM5 model forecast with 2 km horizontal resolution based on 4DVAR assimilation of GPS data run by UHOH for the MAP D-PHASE project (2007)
    WDCC
    Details
    Publication Date: 2022-04-25
    Description: not filled
    Type: experiment
    Format: tar of jpg
    Format: XML
    Format: GRIB1; records separated
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  • 30
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    dphase_arpalmol: MOLOCH operational model forecasts run by ARPAL CFMI-PC for the MAP D-PHASE project (2007)
    WDCC
    Details
    Publication Date: 2022-04-25
    Description: Non hydrostatic model Moloch, developed at ISAC CNR and operational at ARPAL CFMI-PC. Initial and boundary conditions provided by the model chain based on bolam and initialized with the 00 UTC ECMWF run. Grid description: DDOM: xfirst: -1.99 yfirst: -1.93 xsize: 200.0 ysize: 194.0 xinc: 0.02 yinc: 0.02 xnpole: -171.0 ynpole: 45.0
    Type: experiment
    Format: tar-File(s)
    Format: XML
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  • 31
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    Hamburg Ocean Atmosphere Parameters and Fluxes from Satellite Data - HOAPS-3 - 5-days mean (2007)
    WDCC
    Details
    Publication Date: 2022-04-25
    Description: The Hamburg Ocean Atmosphere Parameters and Fluxes from Satellite Data (HOAPS) set is a completely satellite based climatology of precipitation, turbulent heat fluxes and freshwater budget (evaporation minus precipitation) as well as related athmospheric state variables over the global ice free oceans. All variables are derived from SSM/I passive microwave radiometers, except for the SST, which is taken from AVHRR measurements. The dataset includes multi-satellite averages, inter-sensor calibration, and an efficient sea ice detection procedure. Changes in this version are a longer time series, now containing data from 1987 to 2005, a new neural network based precipitation algorithm, and inclusion of the RSMAS/NODC Pathfinder Version 5 SST fields. Additionally a new 85 GHz synthesis procedure has been implemented, making a continuous time series for all parameters for the whole time series possible. All pentad (5-day) mean products are distributed in separate monthly files. The first day of a 5-day average period determines the monthly file wherein it is saved. Each year is subdivided in 73 pentads starting at the same day of the year. During leap years, the twelfth pentad (starting at February 25) is the average of six days. Apart from pentad (5-day) and monthly means on a global 0.5 deg. x 0.5 deg. grid, twice daily multi-satellite composite data on a global 1 x 1 deg. grid are available. For more information see http://www.hoaps.org/.
    Type: experiment
    Format: NetCDF
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  • 32
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    dphase_cmcgeml: regional GEM model driving (low resolution) forecast run by CMC for the MAP D-PHASE project (2007)
    WDCC
    Details
    Publication Date: 2022-04-25
    Description: The Canadian Meterological Centre (CMC) is running the Global Environmental Multiscale (GEM) model in limited-area mode for the duration of the MAP D-PHASE project (1 June - 31 November 2007). The model is run once-daily directly from operational GEM meso-global forecast data (grid spacing of 33 km). A pair of domains are used for the project with horizontal grid spacings of 15 km and 2.5 km. This outer (low resolution or driving) grid is initialized daily at 0000 UTC and covers all of Europe, out to the British Isles, the North Sea, and Nortern Africa. The timestep for this forecast is 300 sec and outputs are available hourly. No regional analysis or data assimilation cycle is undertaken during this project. All observational data will therefore be ingested only indrectly in the regional setup through the outer grid initialization and hourly boundary updates from the meso-global model. The GEM model is a semi-implicit, semi-Lagrangian, two time-level, non-hydrostatic model that runs in a wide variety of configurations. An updated version (v3.3.0) of the GEM model is being used for the MAP D-PHASE project in preparation for the Vancouver 2010 Olympic Games project. This version takes advantage of recent developments designed to enhance the quality of guidance over regions of steeply-sloping orography, including the addition of a 6-category bulk microphysics scheme and time-varying orography over the initialization period. For more information on -the GEM model dynamics: see Cote et al (1998) [Mon. Wea. Rev.]. -the model physics package: contact Recherche en Prevision Numerique for the related technical document by Mailhot. -the model's microphysics scheme: see Milbrandt and Yau (2007) [Mon. Wea. Rev.]. Grid description: DDOM: xfirst: 2.0 yfirst: 43.0 xsize: 201.0 ysize: 101.0 xinc: 0.08 yinc: 0.07 xnpole: 0.0 ynpole: 0.0
    Type: experiment
    Format: XML
    Format: GRIB1; records separated
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  • 33
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    dphase_qbolam11: QBOLAM meteorological model (10km) run by APAT for the MAP D-PHASE project (2007)
    WDCC
    Details
    Publication Date: 2022-04-25
    Description: Forecast data are modelled by the parallel version of the hydrostatic BOlogna Limited Area Model (BOLAM) operational at the Italian National Agency for Environmental Protection and Technical Services in Rome (Italy). This parallel version, called QBOLAM, is employed in an operational setting as a part of the Sistema Idro-Meteo-Mare (Hydro-Meteo-Marine System; SIMM) forecasting chain, with a 11-km grid step over a domain covering the entire Mediterranean basin. The QBOLAM11 model is forced with the QBOLAM33 forecast data, neglecting the first 12 hours (spin-up time), producing a 48-h forecast starting at 0000 UTC. The QBOLAM 33 runs are instead initialized using the 1200 UCT European Centre for Medium-Range Weather Forecasts analyses and forecasts. The SIMM modelling chain includes also a 10-km WAve model (WAM) over the Mediterranean Sea, a shallow-water version of the Princeton Ocean Model (POM) for sea elevation over the Adriatic Sea and a finite element model for sea elevation in the Venice Lagoon (VL-FEM). For DPHASE project, forecast data are provided over a subdomain (referred as DDOM) of the original domain (which covers the entire Mediterranean Basin). Forecast data will be also available on the COPS domain (referred as CDOM). Not all the meteorological fields selected for the experiment are provided, since some of these are not produced by the QBOLAM model. Grid description: Please note that the westermost longitude and the southermost latitude points refer to the sub-domain chosen for MAP DPHASE. The QBOLAM original domain covers the Mediterranean Basin. CDOM: xfirst: -6.0 yfirst: 8.4 xsize: 54.0 ysize: 27.0 xinc: 0.1 yinc: 0.1 xnpole: -167.5 ynpole: 51.5 DDOM: xfirst: -9.5 yfirst: 4.4 xsize: 147.0 ysize: 67.0 xinc:0.1 yinc: 0.1 xnpole: -167.5 ynpole: 51.5
    Type: experiment
    Format: tar file, zipped
    Format: XML
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  • 34
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    dphase_lme: LME (COSMO-EU) model forecasts run by DWD for the MAP D-PHASE project (2007)
    WDCC
    Details
    Publication Date: 2022-04-25
    Description: This experiment contains forecasts from the LME (COSMO-EU) model of DWD (7km horizontal resolution, 40 model levels). Model runs are started every 6h at 00, 06, 12 and 18 UTC with a forecast range of +72h. LME (COSMO-EU) is an operational forecast model of DWD. The output is mostly according to the tigge+ list. Descriptions of the differences to TIGGE+ can be found in the summary of the data sets. For a detailed description of the LME (COSMO-EU) model, please contact the originator of the data. Grid description: CDOM: xfirst: -2.73 yfirst: -2.927 xsize: 177.0 ysize: 112.0 xinc: 0.063 yinc: 0.063 xnpole: -170.0 ynpole: 40.0 DDOM: xfirst: -5.882 yfirst: -6.685 xsize: 177.0 ysize: 112.0 xinc: 0.063 yinc: 0.063 xnpole: -170.0 ynpole: 40.0
    Type: experiment
    Format: tar file, zipped
    Format: XML
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  • 35
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    dphase_lamepsat: ALADIN-Austria Ensemble system run by ZAMG for the MAP D-PHASE project (2007)
    WDCC
    Details
    Publication Date: 2022-04-25
    Description: Model system ALADIN, 18km horizontal resolution, 37 levels in vertical, LOPEZ microphysics etc. Ensemble system with 16 members. 2 runs per day at 00, 12 UTC, Initial perturbation: Downscaling of ECMWF Singular vector perturbation Lateral boundary perturbation: Coupling with the ECMWF EPS system Domain of products: Latitude: 38.53---54.98, 0.15 deg grid space, 110 grids; Longitude: 2.55---31.8, 0.15 deg. grid space, 196 grids Every 3 hours, from 0 to 48 hours forecast. Grid description: quadratic grid, it is the Lambert Projection DDOM: xfirst: 2.55 yfirst: 42.95 xsize: 105.0 ysize: 49.0 xinc: 0.15 yinc: 0.15 xnpole: 0.0 ynpole: 0.0
    Type: experiment
    Format: tar-File(s)
    Format: XML
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  • 36
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    dphase_lmeuro: COSMO-ME model forecasts (7km) run by Italian Met. Service CNMCA for the MAP D-PHASE project (2007)
    WDCC
    Details
    Publication Date: 2022-04-25
    Description: COSMO-ME is the high-resolution operational implementation of COSMO Model at the National Meteorological Service of Italy. The model domain covers most of continental Europe and the entire Mediterranean Basin. The horizontal resolution is 7km (0.0625deg) with 40 vertical levels. The model is routinely run on the ECMWF super-computer once a day at 00Z with hourly output. The initial conditions are interpolated from the Italian Met. Service 3DVAR-FGAT data assimilation system. The boundary conditions (BC) are provided by IFS global model. Grid description: DDOM: xfirst: -5.875 yfirst: -14.312 xsize: 194.0 ysize: 112.0 xinc: 0.0625 yinc: 0.0625 xnpole: -170.0 ynpole: 32.5
    Type: experiment
    Format: XML
    Format: GRIB1; records separated
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  • 37
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    Reconstruction of global land use and land cover AD 800 to 1992 (2007)
    WDCC
    Details
    Publication Date: 2022-04-25
    Description: This dataset contains reconstructions of land use and land cover from AD 800 to 1992 in global coverage at 30 minute resolution. After AD 1700, the data is based on Ramankutty and Foley (1999), Foley et al. (2003) and Klein Goldewijk (2001); for earlier times, land use is estimated with a country-based method that uses national population data (McEvedy and Jones, 1978) as a proxy for agricultural activity. For each year, a map is provided that contains 14 fields. Each field holds the fraction the respective vegetation type covers in the total grid cell (0-1). The vegetation types comprise three human land use types (crop, C3 pasture and C4 pasture) and 11 natural vegetation types (based on the potential vegetation map of Ramankutty and Foley, 1999). For the time period prior to AD 1700 two additional land cover scenarios are provided (scenmin and scenmax). They quantify the uncertainties associated with this approach, through technological progress in agriculture and uncertainties in population estimates. The additional datasets combine the known uncertainties in a way to give the most extreme range for possible estimates of land use area for each year before 1700. The datasets thus do not represent consistent time series of plausible alternative scenarios, but indicate, for each year, a maximum range outside which estimates of land use area are unrealistic. See citations and references for details. Vegetation types: 1 Tropical evergreen forest 2 Tropical deciduous forest 3 Temperate evergreen broadleaf forest 4 Temperate/boreal deciduous broadleaf forest 5 Temperate/boreal evergreen conifers 6 Temperate/boreal deciduous conifers 7 Raingreen shrubs 8 Summergreen shrubs 9 C3 natural grasses 10 C4 natural grasses 11 Tundra 12 Crop 13 C3 pasture 14 C4 pasture
    Type: experiment
    Format: NetCDF
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  • 38
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    Hamburg Ocean Atmosphere Parameters and Fluxes from Satellite Data - HOAPS-3 - twice daily composite (2007)
    WDCC
    Details
    Publication Date: 2022-04-25
    Description: The Hamburg Ocean Atmosphere Parameters and Fluxes from Satellite Data (HOAPS) set is a completely satellite based climatology of precipitation, turbulent heat fluxes and freshwater budget (evaporation minus precipitation) as well as related athmospheric state variables over the global ice free oceans. All variables are derived from SSM/I passive microwave radiometers, except for the SST, which is taken from AVHRR measurements. The dataset includes multi-satellite averages, inter-sensor calibration, and an efficient sea ice detection procedure. Changes in this version are a longer time series, now containing data from 1987 to 2005, a new neural network based precipitation algorithm, and inclusion of the RSMAS/NODC Pathfinder Version 5 SST fields. Additionally a new 85 GHz synthesis procedure has been implemented, making a continuous time series for all parameters for the whole time series possible. This dataset contains 1 degree twice daily globally gridded multi-satellite composite products, providing high temporal resolution. Each grid-cell contains data from only one satellite pass, there is no average from two or more satellites. Early passes are overwritten by later passes. This method provides more spatial homogeneity than averaging all available data. The fields are stored for 0-12 and 12-24 UTC. Timesteps in the data files are at 0 UTC (0-12 UTC overpasses) and 12 UTC (12-24 UTC overpasses). Each grid-cell contains the average of data from the satellite that passed this gridbox closest to 12 and 24 UTC, respectively. Other gridded data sets available are pentad (5-day) and monthly means on a global 0.5 deg. x 0.5 deg. grid. For more information see http://www.hoaps.org/.
    Type: experiment
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  • 39
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    dphase_lami28: Limited Area Model Italy forecasts (COSMO model, 2.8 km) run by ARPA-SIM for the MAP D-PHASE project (2007)
    WDCC
    Details
    Publication Date: 2022-04-25
    Description: lami28 stands for 'Limited Area Model Italy' which is the Italian implementation of COSMO Model, run with a 2.8 km grid interval. COSMO model in lami28 suite is run operationally once a day with a 2.8 km grid interval; it is initialised at 00 UTC with the lami7 interpolated analysis; the boundary conditions as well are provided by lami7 model; the integration domain ranges approximately from 6°E to 19°E and from 36°N to 48°N and the integration time range is 48 hours. The model is run at Cineca computing centre (http://www.cineca.it) on an IBM Power5 platform. The PICS datasets was not provided due to computer time constraints. Please note: data are available ONLY from 09/10/2007 to 30/11/2007. Grid description: DDOM: xfirst: -3.5 yfirst: -15.425 xsize: 417.0 ysize: 272.0 xinc: 0.025 yinc: 0.025 xnpole: 32.5 ynpole: -170.0
    Type: experiment
    Format: GRIB1; records separated
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  • 40
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    dphase_cleps: COSMO-LEPS forecasts run by ARPA-SIM for the MAP D-PHASE project (2007)
    WDCC
    Details
    Publication Date: 2022-04-25
    Description: cleps stands for COSMO-LEPS, the Limited-area Ensemble Prediction System implemented and developed by ARPA-SIM in the framework of COSMO consortium. This system is made up of 16 integrations with the non-hydrostatic limited-area model COSMO (formerly known as Lokal Modell). The 16 integrations takes initial and boundary conditions from 16 selected members of ECMWF EPS; the following prodedure is used to select EPS members: 1) Two successive runs of ECMWF EPS (starting at 00 and 12UTC) are considered; since each EPS set is composed of 51 integrations, 102 members are 2) a clustering algorithm is applied to construct 16 clusters (of different population); the clustering variables are Z,U,V,Q at 500, 700, 850 hPa at +96, +120 fcst steps; the clustering domain is 30-60N, 10W-30E. 3) within each cluster a representative member (RM) is selected on the basis of the same variables used for the clustering; 4) 16 RMs are selected; 5) each RM provides both initial and boundary conditions to the limited-area integrations with the COSMO model, which is run 16 times; 6) the limited-area runs constitute COSMO-LEPS Each limited-area runs has the following features: start once a day at 12UTC; hor. res. 10 km; vert. res. 40 ML; fcst length: 132h; post-proc frequency: 3h The integration domain cover the whole Central and Southern Europe, although, for D-PHASE, only a subdomain is delivered. Grid description: DDOM: xfirst: -6.02 yfirst: -7.0 xsize: 135.0 ysize: 83.0 xinc: 0.09 yinc: 0.09 xnpole: 190.0 ynpole: 40.0
    Type: experiment
    Format: tar-File(s)
    Format: XML
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  • 41
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    dphase_cosmoch2: COSMO model forecasts (2.2 km) run by MeteoSwiss for the MAP D-PHASE project (2007)
    WDCC
    Details
    Publication Date: 2022-04-25
    Description: - preoperational model (planned to become operational in 2008) - configuration: Runge Kutta time integration scheme (dt=20sek); multi layer soil module; no parameterized deep convection; 60 levels; prognostic TKE, rain, snow and graupel - model runs are started at 00UTC 03UTC 09UTC 12UTc and 18UTC. Forecast range is 24h, except 09 and 18 run ranging upt to 30h. To complete the timeseries, dummy text files have been generated for 06UTC, 15UTC, 21UTC. Missing time steps are filled with dummy text files as well. Note: From 12th of July 2007 on, +24h forecasts are produced for 06, 15 and 21 UTC as well. Grid description: CDOM: xfirst: -2.76 yfirst: -0.02 xsize: 174.0 ysize: 141.0 xinc: 0.02 yinc: 0.02 xnpole: -170.0 ynpole: 43.0 DDOM: xfirst: -5.5 yfirst: -3.8 xsize: 500.0 ysize: 330.0 xinc: 0.02 yinc: 0.02 xnpole: -170.0 ynpole: 43.0
    Type: experiment
    Format: tar-File(s)
    Format: XML
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  • 42
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    cops_suph_wvdial: absolute humidity and backscatter data from DIAL run by UHOH during COPS 2007 (2009)
    WDCC
    Details
    Publication Date: 2022-04-25
    Description: The files contain vertical profiles of absolute humidity and backscatter signals at 820 nm measured with the Water Vapor Differential Absorption Lidar of University of Hohenheim (UHOH DIAL) during COPS 2007. The UHOH DIAL was located at Hornisgrinde (COPS Supersite H) with other instruments. The backscatter signals are offline backscatter data multiplied with range squared in arbitrary units. These data show aerosols and clouds above the lidar. The temporal and spatial resolution of these data is 10 s and 15 m, respectively. For the humidity data (in g/m**-3) of this release, the temporal and spatial resolution is the same but with a 150-m-long weighting function. Data with higher resolution, data of higher altitudes, or data of measurement days which are not published within this release are available on request. See pdf summary in entry 'cops_suph_rlidar_info_1' for further information.
    Type: dataset_group
    Format: NetCDF
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  • 43
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    dphase_mpeps: MicroPEPS LAF-Ensemble run by DWD for the MAP D-PHASE project (2007)
    WDCC
    Details
    Publication Date: 2022-04-25
    Description: The D-Phase MicroPEPS is a LAF-Ensemble (lagged average forecast) that is based upon 5 different high resolution models: COSMOCH2 LMK AROME CMCGEMH ISACMOL2 The individual members can be found in the respective experiments 'dphase_*' in this data base. As time lagged forecasts the initialisation times t-3h and t-6h relative to the reference time t are incorporated. In a maximum the MicroPEPS might have 9 members (COSMOCH2: 3, LMK: 3, AROME: 1, CMCGEMH: 1, ISACMOL: 1). While COSMOCH2 and LMK generate new forecasts every 3 hours the other models run less frequently. In the 6 hour MicroPEPS time window AROME, CMCGEMH and ISACMOL provide one run each. During operation the ensemble size might change due to the availability of the forecasts. The MicroPEPS uses equal weights for averaging its members. The MicroPEPS generates probability forecasts by interpreting the overlapping areas of the single forecasts as members of a local ensemble. Due to the different domains of the deterministic models the size of the ensemble depends on location. Hence the quality of the forecasted probability distributions varies over the domain. There will be four runs a day at 0, 6, 12 and 18 UTC. Grid description: CDOM: xfirst: 6.0 yfirst: 47.0 xsize: 168.0 ysize: 151.0 xinc: 0.03 yinc: 0.02 xnpole: 0.0 ynpole: 0.0 DDOM: xfirst: 2.0 yfirst: 43.0 xsize: 535.0 ysize: 351.0 xinc: 0.03 yinc: 0.02 xnpole: 0.0 ynpole: 0.0
    Type: experiment
    Format: tar file, zipped
    Format: XML
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  • 44
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    dphase_qbolam33: QBOLAM meteorological modell (30km) run by APAT for the MAP D-PHASE project (2007)
    WDCC
    Details
    Publication Date: 2022-04-25
    Description: Forecast data are modelled by a 30-km parallel version of the hydrostatic BOlogna Limited Area Model (BOLAM) operational at the National Agency for Environmental Protection and Technical Services (APAT) at Rome (Italy). This version, referred as 30-km QBOLAM model, is the driving model of the 11-km QBOLAM model which is described in the dphase_qbolam11 experiment. For DPHASE project, forecast data are provided over a subdomain (refered as DDOM) of the original domain (which covers the entire Mediterranean Basin). Not all the meteorological fields selected for the experiment are provided, since some of these are not produced by the QBOLAM model. Initial and boundary conditions for a 60-h QBOLAM33 forecast are derived from the European Centre for Medium-Range Weather Forecasts analysis and forecast issued at 1200 UTC on the previous day. Grid description: Please note that the westermost longitude and the southermost latitude points refer to the sub-domain chosen for MAP DPHASE. The QBOLAM original domain covers the Mediterranean Basin. DDOM: xfirst: -10.2 yfirst: 4.2 xsize: 54.0 ysize: 40.0 xinc: 0.3 yinc: 0.3 xnpole: -167.5 ynpole: 51.5
    Type: experiment
    Format: XML
    Format: GRIB1; records separated
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  • 45
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    IPCC-AR4 MPI-ECHAM5_T63L31 MPI-OM_GR1.5L40 PIcntrl(pre-industrial control experiment): atmosphere 6 HOUR values MPImet/MaD Germany (2005)
    WDCC
    Details
    Publication Date: 2022-04-25
    Description: The data represent 6 hourly values of pre-industrial climate simulation. Here, for the year 1860, concentrations of well mixed greenhouse gases (CO2, CH4, N2O) were prescribed. Ocean data (MPI-OM) are available within this experiment, they are stored in EXTRA FORMAT. Datasets with monthly mean values are also available. As the boundary conditions are not time dependent, the time access is arbitrary. Technical data to this experiment: The experiment is using ECHAM5.2.02 coupled to MPI-OM Vers.1.0 GR1.5L40 and was run on a NEC-SX6(hurrikan). The output from the model run: hurrikan.dkrz.de:/ut/3/m214002/EXP500/run520
    Type: experiment
    Format: GRIB
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  • 46
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    IPCC-AR4 MPI-ECHAM5_T63L31 MPI-OM_GR1.5L40 PIcntrl(pre-industrial control experiment): atmosphere monthly mean values MPImet/MaD Germany (2005)
    WDCC
    Details
    Publication Date: 2022-04-25
    Description: The data represent monthly average values of pre-industrial climate simulation. Here, for the year 1860, concentrations of well mixed greenhouse gases (CO2, CH4, N2O) were prescribed. Ocean data (MPI-OM) are available within this experiment, they are stored in EXTRA FORMAT. Datasets with higher resolution (6 hour mean) are also available. As the boundary conditions are not time dependent, the time access is arbitrary. Technical data to this experiment: The experiment is using ECHAM5.2.02 coupled to MPI-OM Vers.1.0 GR1.5L40 and was run on a NEC-SX6(hurrikan). The output from the model run: hurrikan.dkrz.de:/ut/3/m214002/EXP500/run520
    Type: experiment
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  • 47
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    ECHOG_A16_LIG: Control Run for the Last Interglacial (Eemian, 125 kyrBP, DEKLIM-EEM project),monthly mean values (2006)
    WDCC
    Details
    Publication Date: 2022-04-25
    Description: The purpose of the project DEKLIM-EEM is to reconstruct past interglacials based on proxy data and to understand the processes that are responsible for climatic changes during these interglacials by applying climate models. The data represent monthly average value of a simulation of the climate of the Last Interglacial (LIG) at 125000 years before present (Eemian). Boundary conditions are the same as in the preindustrial control run (ECHOG_A15_PRI), apart from the concentration of greenhouse gases and orbital parameters: Greenhouse gas concentrations are derived from vostok ice core data: 270ppmV CO2, 0.63 ppmV CH4 and 260 ppbV N2O. CFCs are set to zero. Orbital parameters have been calculated with the routine of Berger (1978): Eccentricity: 0.04; Obliquity: 23.79; Precession: 127.3. The simulation has been started with the Levitus ocean climatology. ECHO-G is used as climate model. It is a coupled atmosphere/ocean model (ECHAM4_T30 + HOPE-E_T42er). The simulation was run on a NEC-SX6 (hurrikan). Atmospheric data were originally stored by the model every 12 hours. Ocean data is stored every month. As the boundary conditions are not time dependent, the time access is arbitrary. Related experiments: - ECHOG_A40_LGI: control run, last glacial inception (End of the Eemian, 115 kyrBP, DEKLIM-EEM project), started with Levitus climatology, monthly mean values - ECHOG_A15_PRI preindustrial control run (ca. 1800 A.D., DEKLIM-EEM project), started with Levitus climatology, monthly mean values.
    Type: experiment
    Format: GRIB
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  • 48
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    dphase_arome: AROME +30hours forecasts run by Meteo-France CNRM/GAME for the MAP D-PHASE project (2007)
    WDCC
    Details
    Publication Date: 2022-04-25
    Description: AROME (Application of Research to Operational at Meso-Scale) model is a new NWP system built in order to improve the forecast of mesoscale phenomena and extreme weather events (thunderstorms, mountain forecasts, coastal winds, immediate forecasts). It is planned to be used operationally by the end of 2008 over mainland France. With a 2.5 km horizontal grid mesh and a time step of 60s, this model is designed for short range forecasts. It merges research outcomes and operational progress : the physical package used is extracted from the Meso-NH research model and has been interfaced into the Non-Hydrostactic version of the ALADIN software. AROME also has its own mesoscale data assimilation system based on 3DVar with a 3hours RUC (Rapid Update Cycle). Physical parameterizations used in AROME are: -the ICE3 Meso-NH microphysical scheme with 5 prognostic species of condensed water. It contains 3 precipitating species (rain, snow and graupel) and 2 non precipitating ones (ice crystals and cloud droplets) -the Meso-NH 1D turbulence parameterization with Bougeault Lacarrere mixing lengths. -the externalized version of the Meso-NH detailed surface scheme -the operational ECMWF radiation code (called every 15 min). -the KFB (Kein-Fritsch Bechtold) shallow convection scheme is also switched on. We daily performed 30 hours forecasts with Non-Hydrostatic AROME 2.5 km model, starting from 00 TU. We ran with a time step of 60s over a domain of 400x320 points.AROME is coupled every 3 hours with ALADIN-France (ALADFR) 10km operational model. The post-processing in GRIB files is done on a regular LAT-LON Grid with a 0.025 degree resolution on a DPHASE domain (346x288 points), centered at 46.5N, 9.6E. This domain is smaller than the full DPHASE domain, and on the COPS domain (47-50 N, 6-11 E). Grid description: CDOM and DDOM:xinc/yinc:0.025 xnpole/ynpole:0.0 CDOM:xfirst:6.0 yfirst:47.0 xsize:202.0 ysize:122.0 DDOM:xfirst:5.2875 yfirst:42.9125 xsize:346.0 ysize:288.0
    Type: experiment
    Format: tar-File(s)
    Format: XML
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  • 49
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    dphase_cmcgemh: regional GEM model high resolution forecast run by CMC for the MAP D-PHASE project (2007)
    WDCC
    Details
    Publication Date: 2022-04-25
    Description: For Map-D-PHASE the Canadian Meterological Centre (CMC) is running the Global Environmental Multiscale (GEM) model in limited-area mode. The model is run once-daily directly from operational GEM meso-global forecast data (grid spacing of 33 km). A pair of domains are used for the project with horizontal grid spacings of 15 km and 2.5 km. This inner (high resolution) grid is tightly centered on the MAP D-PHASE project region and is initialized at 0600 UTC from the CMCGEML run. Boundary conditions for the high resolution domain are updated at 15 minute intervals from the low resolution model output. The forecast timestep is 60 seconds and data is available at 15 minute intervals. No regional analysis or data assimilation cycle is undertaken during this project. All observational data will therefore be ingested only indrectly in the regional setup through the outer grid initialization and hourly boundary updates from the meso-global model. The GEM model is a semi-implicit, semi-Lagrangian, two time-level, non-hydrostatic model that runs in a wide variety of configurations. An updated version (v3.3.0) of the GEM model is being used for the MAP D-PHASE project in preparation for the Vancouver 2010 Olympic Games project. This version takes advantage of recent developments designed to enhance the quality of guidance over regions of steeply-sloping orography, including the addition of a 6-category bulk microphysics scheme and time-varying orography over the initialization period. For more information on -the GEM model dynamics: see Cote et al (1998) [Mon. Wea. Rev.]. -the model physics package: contact Recherche en Prevision Numerique for the related technical document by Mailhot. -the model's microphysics scheme: see Milbrandt and Yau (2007) [Mon. Wea. Rev.]. Grid description: CDOM and DDOM:xinc 0.03 yinc:0.02 xnpole/ynpole:0.0 CDOM:xfirst:6.0 yfirst:47.0 xsize:168.0 ysize:151.0 DDOM:xfirst:2.0 yfirst:43.0 xsize:535.0 ysize:351.0
    Type: experiment
    Format: XML
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  • 50
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    dphase_mm5_375: MM5 model 72h forecast (3.75km) run by FZK-IMK for the MAP D-PHASE project (2007)
    WDCC
    Details
    Publication Date: 2022-04-25
    Description: 72h forecast with MM5 V3.7, nested run using - mm5_15 run as input - 3.75km x 3.75km resolution - 57 x 49 Grids - Noah land-surface scheme - MRF PBL - Grell cumulus scheme - Graupel (Reisner2) explicit moisture scheme - Cloud for atmospheric radiation Grid description: DDOM: xfirst: 10.207822 yfirst: 46.897579 xsize: 66.0 ysize: 48.0 xinc: 0.0005 yinc: 0.035 xnpole: 0.0 ynpole: 0.0
    Type: experiment
    Format: tar file, zipped
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  • 51
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    dphase_lmk: LMK (COSMO-DE) high resolution model forecasts run by DWD for the MAP D-PHASE project (2007)
    WDCC
    Details
    Publication Date: 2022-04-25
    Description: This experiment contains forecasts from the LMK (COSMO-DE) high resolution model of DWD (2.8km horizontal resoultion and 50 model levels). Model runs are started every 3h at 00, 03, 06, 09, 12, 15, 18 and 21 UTC with a forecast range of +18h. LMK (COSMO-DE) is an operational forecast model of DWD. Therefore, we adapted the output of the model as close as possible to the tigge+ list, but there are some differences; see dataset summaries. For a detailed description of the LMK (COSMO-DE) model, please contact the originator of the data. All datasets for COPS in the database have an output frequency of 15 minutes. If the variables are not provided by LMK (COSMO-DE) with an output frequency of 15 minutes then the hourly output has been linearily interpolated in time. LMK (COSMO-DE) provides only a subset of the TIGGE+ variables with an output frequency of 15 minutes. These are: Total precipitation (all types) (kg/m**2)acc_st011002TPT2 Precipitation: grid-scale only, rain (kg/m**2)acc_st102201SURF Precipitation: grid-scale only, snow (kg/m**2)acc_st079002SURF Precipitation: grid-scale only, graupel (kg/m**2)acc_st132201SURF Precipitation rate: grid-scale only, rain (kg/s/m**2)inst 100 201SURF Precipitation rate: grid-scale only, snow (kg/s/m**2)inst 100 201SURF Precipitation rate: grid-scale only, graupel (kg/s/m**2)inst 100 201SURF Total column water vapour (or precipitable water) (kg/m**2)inst054002SURF Total column cloud water (or cloud water) (kg/m**2)inst076002SURF Total column cloud ice (or cloud ice) (kg/m**2)inst058002SURF W-velocity (m/s)inst040002MUVW Grid descitption: CDOM: xfirst: -2.73 yfirst: -2.927 xsize: 135.0 ysize: 118.0 xinc: 0.025 yinc: 0.025 xnpole: -170.0 ynpole: 40.0 DDOM: xfirst: -5.882 yfirst: -6.685 xsize: 441.0 ysize: 279.0 xinc: 0.025 yinc: 0.025 xnpole: -170.0 ynpole: 40.0
    Type: experiment
    Format: tar-File(s)
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  • 52
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    dphase_peps: SRNWP-PEPS ensemble forecasts run by DWD for the MAP D-PHASE project (2007)
    WDCC
    Details
    Publication Date: 2022-04-25
    Description: The SRNWP-PEPS consists of 21 different operational limited area models: Weather Service / Limited Area Model / Resolution [km] / Coupling Model / Forcast Period / Time Interval [h] / Main Run [UTC] Denmark HIRLAM 16 ECMWF +60h 1 0, 6, 12, 18 Finland HIRLAM 22 ECMWF +54h 1 0, 6, 12, 18 Ireland HIRLAM 16 ECMWF +48h 3 0, 6, 12, 18 Netherlands HIRLAM 22 ECMWF +48h 1 0, 6, 12, 18 Spain HIRLAM 18 ECMWF +48h 1 0, 6, 12, 18 Norway HIRLAM 22 ECMWF +30h 1 0, 12 Sweden I HIRLAM 11 ECMWF +48h 3 0, 6, 12, 18 Sweden II HIRLAM 22 ECMWF +48h 3 0, 6, 12, 18 Belgium ALADIN 15 ARPEGE +60h 1 0, 12 Austria ALADIN_A 9.6 ARPEGE +48h 1 0, 12 France ALADIN_F 11 ARPEGE +48h 3 0, 12 Croatia ALADIN_L 8.9 ARPEGE +48h 3 0, 12 Czech Rep. ALADIN_L 11 ARPEGE +48h 1 0, 12 Hungary ALADIN_L 11 ARPEGE +48h 1 0, 12 Slovakia ALADIN_L 11 ARPEGE +48h 3 0, 12 Slovenia ALADIN_L 9.5 ARPEGE +48h 3 0, 12 United Kingdom UKMO-LAM 12 UM global +48h 3 0, 6, 12, 18 Germany LME 7 GME +78h 1 0, 12 // Germany LME 7 GME +48h 1 6, 18 Switzerland aLMo 7 ECMWF +72h 1 0, 12 Italy EuroLM 7 EuroHRM +60h 3 0, 12 Poland LM 14 GME +72h 3 0, 12 The relation between these models and the numbers of the SRNWP PEPS ensemble is anonymous. The SRNWP-PEPS generates probability forecasts by interpreting the overlapping areas of the single forecasts as members of a local ensemble. Due to the different domains of the deterministic models the size of the ensemble depends on location. Hence the quality of the forecasted probability distributions varies over the PEPS domain. THE PLEV data set could not be provided for PEPS. Grid description: xsize,ysize,xinc, yinc differ for ensemble members (see datasets) CDOM: xfirst: 6.0 yfirst: 47.0 xnpole: 0.0 ynpole: 0.0 DDOM: xfirst: 2.0 yfirst: 43.0 xnpole: 0.0 ynpole: 0.0
    Type: experiment
    Format: tar-File(s)
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  • 53
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    Climate Simulation with CLM, Climate of the 20th Century run no.3, Data Stream 3: European region MPI-M/MaD (2007)
    WDCC
    Details
    Publication Date: 2022-04-25
    Description: The experiment CLM_C20_3_D3 contains European regional climate simulations of the years 1960-2000 on a regular geographical grid. The data are generated during post processing of the corresponding data stream 2 experiment (CLM_C20_3_D2) of regional climate model runs (CLM non hydrostatic, see http://www.clm-community.eu ). The simulations of the 20th century (1960-2000) have been forced by the third (_3_) run of the global 20th century climate (EH5-T63L31_OM-GR1.5L40_20C_3_6H) with observed anthropogenic forcing. In data stream 3 (_D3) the output variables of CLM data stream 2 and some additionally derived parameters are stored as time series on a regular grid with a horizontal spacing of 0.2 degree. The model parameters have been transformed onto the regular geographical grid by the CDO routines. Please note, that none of the variables has been corrected for topographical differences between the two grids. The model domain of data stream 3 covers the European region starting at 34.6/-10.6 (lat/lon, centre of lower left grid box) with an increment of 0.2 degree. The number of grid points is 177/238 (lat/lon). For some model variables and additionally derived parameters some statistics on daily, monthly or yearly basis are available. See also http://sga.wdc-climate.de for a list of available parameters. Please contact sga"at"dkrz.de for data request details. See http://sga.wdc-climate.de for more details on CLM simulations in the context of the BMBF funding priority "klimazwei", some useful information on handling climate model data and the data access regulations. The output format is netCDF Experiment with CLM 2.4.11 on NEC-SX6(hurrikan) raw data: hpss:/dxul/ut/k/k204095/prism/experiments/C20_3
    Type: experiment
    Format: NetCDF
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  • 54
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    dphase_lmita: COSMO-IT model forecasts run (2.8 km) by Italian Met. Service CNMCA for the MAP D-PHASE project (2007)
    WDCC
    Details
    Publication Date: 2022-04-25
    Description: The model is the very-high resolution operational implementation of COSMO model used by the Italian Met Service. The geographic area where the model is being run covers the entire italian pensinsula and major islands. The horizontal resolution is 2.8 km (0.025deg) with 50 vertical levels. The model is routinely run on the ECMWF computing resources once a day at 00Z with hourly output. The boundary conditions (BC) are interpolated from COSMO-ME forecast fields with 1 hour frequency update. Grid description: CDOM: xfirst: -2.6 yfirst: -10.65 xsize: 139.0 ysize: 110.0 xinc: 0.025 yinc: 0.025 xnpole: -170.0 ynpole: 32.5 DDOM: xfirst: -5.0 yfirst: -14.3 xsize: 449.0 ysize: 256.0 xinc: 0.025 yinc: 0.025 xnpole: -170.0 ynpole: 32.5
    Type: experiment
    Format: XML
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  • 55
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    dphase_mesonh2: Meso-NH forecasts (2km) run by University of Toulouse for the MAP D-PHASE project (2007)
    WDCC
    Details
    Publication Date: 2022-04-25
    Description: The horizontal grid spacing for MESONH is here 2 km. The domain size is 192 x 180 gridpoints covering the COPS area. The vertical grid has 50 levels up to 20 km with a grid length varying from 60 m close to the surface to 600 m at high altitude. The model was integrated forward for 30 hours every day starting from 00 UTC ECMWF analysis and keeping outputs every 15 minutes. More information is available at http://mesonh.aero.obs-mip.fr/mesonh/cops/ Grid description: CDOM: xfirst: 6.0 yfirst: 47.0 xsize: 251.0 ysize: 151.0 xinc: 0.02 yinc: 0.02 xnpole: 0.0 ynpole: 0.0
    Type: experiment
    Format: GRIB1; records separated
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  • 56
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    dphase_mesonh8: Meso-NH forecasts (8km) run by University of Toulouse for the MAP D-PHASE project (2007)
    WDCC
    Details
    Publication Date: 2022-04-25
    Description: The horizontal grid spacing is here 8 km. The domain size is 160 x 108 gridpoints covering the MAP D-PHASE domain. The vertical grid has 50 levels up to 20 km with a grid length varying from 60 m close to the surface to 600 m at high altitude. The model was integrated forward for 30 hours every day starting from 00 UTC ECMWF analysis and keeping outputs every 1 hour. More information is available at http://mesonh.aero.obs-mip.fr/mesonh/cops/ Grid description: DDOM: xfirst: 2.0 yfirst: 43.0 xsize: 201.0 ysize: 88.0 xinc: 0.08 yinc: 0.08 xnpole: 0.0 ynpole: 0.0
    Type: experiment
    Format: GRIB1; records separated
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  • 57
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    dphase_hbv: hydrological model HBV runoff forecasts in the Rhine basin run by FOEN for the MAP D-PHASE project (2008)
    WDCC
    Details
    Publication Date: 2022-04-25
    Description: FOEN is using the Flood Early Warning System (FEWS) with the hydrological model HBV for operational flood forecasts in the swiss part of the Rhine basin. With respect to MAP D-PHASE FEWS has been extended to use COSMOCH2, COCH7COR, CLEPS and PEPS. COSMOCH7 and ECMWF have been used already before for operational flood forecasting. Forecasts are issued normally during working days from Monday to Friday with t0 at 05 UTC. Updating of HBV up to time t0 (normally at 05 UTC) is done with meteorological data from MeteoSwiss (ANETZ, 1h resolution) and hydrological data from FOEN for 60 subbasins. After t0 HBV is driven by the meteorological models mentioned above. Forecasts for 12 selected hydrological stations are provided for MAP D-Phase. For MAP D-Phase, the model update of HBV based on meteorological station data is compared with an update driven by radar precipitation. The initial states for the hydrological forecasts are always based on the update driven by meteorological station data. Data providers: Observed meteorology (1h-resolution): MeteoSwiss (ANETZ data, Areal radar precipitation) CLEPS, COSMOCH2, COSMOCH7, COCH7COR and ECMWF: MeteoSwiss PEPS: DWD Observed discharge and waterstage (1h-resolution): Swiss Federal Office for Environment FOEN, Landesanstalt fuer Umwelt, Messungen und Naturschutz Baden-Wuerttemberg LUBW (for german tributaries), Abteilung Wasserwirtschaft Vorarlberg (for austrian tributaries) Basins: Aare-Brugg, Aare-Murgenthal, Emme-Emmenmatt, Kleine Emme-Littau, Limmat-Baden, Reuss-Mellingen, Rhein-Basel, Rhein-Diepoldsau, Rhein-Rekingen, Rhein-Rheinfelden, Thur-Andelfingen, Thur-Halden
    Type: experiment
    Format: tar-File(s)
    Format: XML
    Format: NetCDF
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  • 58
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    cops_ado_data: data from research aircraft DO-128 run by FZK/IMK-TRO during COPS 2007 (2009)
    WDCC
    Details
    Publication Date: 2022-04-25
    Description: The research aircraft DO-128, call sign D-IBUF, of the IFF (TU Braunschweig) measures numerous meteorological and chemical variables to get a better understanding of the atmospheric processes which cause the development of precipitation. The aircraft starts from the Baden Airpark and flys among different flight pattern which are described in the flight protocols. The meteorological variables are static pressure and dynamic pressure at the nose boom, surface temperature, humidity mixing ratio by a lyman-alpha sensor, dewpoint temperature by a dewpoint-mirror, relative humidity by an aerodata-humicap, air temperature by a PT-100 sensor, vertical and horizontal wind components by a five-hole probe and GPS, turbulence (100 Hz), shortwave (pyranometer) and longwave (pyrgeometer) radiance in upper und lower half space. The chemical variables are mole fractions of ozone, carbon dioxide, carbon monoxide, nitrogen dioxide, nitrogen monoxide and nitric oxides (NOx). There are also a few variables for the position and the velocity of the aircraft stored in the data file. Additionally to the measurements by the aircraft, up to 30 drop-sondes can be dropped out of the aircraft. By using these sondes, vertical profiles of temperature, pressure, humidity and wind can be detected (see also the meta data describing the drop-sonde data). Special events are also marked in the data files by the event counter (e.g. dropping times of the drop-sondes, marks concerning the flight patterns etc.). The specific action or flight manoeuvre indicated by the event_number can be identified in the flight protocol.
    Type: dataset_group
    Format: netCDF.tar.gz
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  • 59
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    cops_nebt_ubn_flux: Eddy-covariance turbulence data from COPS energy balance and turbulence network station run by University of Bonn during COPS 2007 (2009)
    WDCC
    Details
    Publication Date: 2022-04-25
    Description: The energy balance station run by University of Bonn measured high-frequency (10 Hz) eddy-covariance raw data with a CSAT3 (Campbell Scientific, Inc.) sonic anemometer and a LI-7500 (LI-COR Biosciences) hygrometer above the target land use type meadow. The measuring set-up was continuously running during the entire COPS measurement period in order to provide a complete time series of the turbulent fluxes of momentum, sensible and latent heat as well as carbon dioxide. Post-processing was performed using the software package TK2 (developed by the Department of Micrometeorology, University of Bayreuth) which produces quality assured turbulent flux data with an averaging interval of 30 min. The documentation and instruction manual of TK2 (see entry cops_nebt_ubt_info_1) and additional references about the applied flux corrections and post-field data quality control (see entry cops_nebt_ubt_info_2) as well as a document about the general handling of the flux data can be found in supplementary pdf-files within the energy balance and turbulence network (NEBT) experiment of the data base. The turbulent flux data in this data set are flagged according to their quality and checked for an impact of possible internal boundary layers. Additionally, the flux contribution from the target land use type intended to be observed to the total flux measured was calculated applying footprint modeling. Information and references about the internal boundary layer evaluation procedure and the footprint analysis are also given in additional info pdf-files. Pictures of the footprint climatology of the station as related to the land use and to the spatial distribution of the quality flags are included in the corresponding additional info pdf-file.
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  • 60
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    cops_suph_rlidar: lidar data from rotational Raman Lidar run by UHOH during COPS 2007 (2009)
    WDCC
    Details
    Publication Date: 2022-04-25
    Description: The files contain vertical profiles of temperature and particle backscatter coefficient at 355 nm measured with the Rotational Raman Lidar of University of Hohenheim (UHOH RRL) during COPS 2007. The UHOH RRL was located at Hornisgrinde (COPS Supersite H) with other instruments. The temporal resolution of the particle-backscatter-coefficient data is 10 s in June 2007 and 13 s in July and August 2007, respectively. The spatial resolution is 37.5 m. For the temperature data of this release, the temporal and spatial resolution of the data is 5 minutes and 37.5 m, respectively. Missing values were added for data containing clouds and exceeding statistical measurement uncertainties of 2 K. Scanning data, data with higher resolution, data of higher altitudes, or data of measurement days which are not published within this release are available on request. See pdf summary in entry 'cops_suph_rlidar_info_1' for further information.
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  • 61
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    dphase_csreps: COSMO Short-Range Ensemble Prediction System run by ARPA-SIM for the MAP D-PHASE project (2007)
    WDCC
    Details
    Publication Date: 2022-04-25
    Description: COSMO-SREPS (csreps) is a high-resolution ensemble system for the short-range (up to three days). The system consists of 16 integrations of the non-hydrostatic limited-area model COSMO. The model is run at about 10 km of horizontal resolution, with 40 levels in the vertical. The ensemble is generated by taking into account different sources of forecast errors, in order to describe the uncertainty affecting the scales of interest in the high-resolution weather forecast at the considered time range. Initial and boundary conditions perturbations are provided by some members of the Multi-Analysis Multi-Boundary SREPS system of INM: the 10-km COSMO runs of COSMO-SREPS are driven by the four lower resolution (25 km) COSMO runs provided by INM, nested on four different global models (IFS, GME, NCEP, UM) which use independent analyses. Each of the four 25-km COSMO run provides initial and boundary conditions (3-hourly) to four 10-km COSMO runs, which are differentiated by applying different model perturbations. Four parameters of the schemes used for the parameterisation of the sub-grid processes are randomly changed, within their range of variability, in the ensemble members. Grid description: DDOM: xfirst: -6.02 yfirst: -7.0 xsize: 135.0 ysize: 83.0 xinc: 0.09 yinc: 0.09 xnpole: 190.0 ynpole: 40.0
    Type: experiment
    Format: tar-File(s)
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  • 62
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    dphase_mm5_15: MM5 model 72h forecast (15km) run by FZK-IMK for the MAP D-PHASE project (2007)
    WDCC
    Details
    Publication Date: 2022-04-25
    Description: 72h forecast with MM5 V3.7, nested run using - mm5_60 run as input - 15km x 15km resolution - 77 x 73 Grids - Noah land-surface scheme - MRF PBL - Grell cumulus scheme - Graupel (Reisner2) explicit moisture scheme - Cloud for atmospheric radiation Grid description: DDOM: xfirst: 2.800095 yfirst: 42.172424 xsize: 76.0 ysize: 72.0 xinc: 0.02 yinc: 0.14 xnpole: 0.0 ynpole: 0.0
    Type: experiment
    Format: tar file, zipped
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  • 63
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    dphase_mm5_2_ct: MM5 model forecast with 2 km horizontal resolution driven by ECMWF operational forecast run by UHOH for the MAP D-PHASE project (2007)
    WDCC
    Details
    Publication Date: 2022-04-25
    Description: Accurate initialization of the water vapor field is important for NWP. With recent advances in Global Positioning System (GPS) atmospheric remote sensing, ground-based GPS receivers have become an important instrument that can provide high resolution water vapor measurements operationally at low cost with an accuracy of a few millimeters. The system can operate in all weather conditions. During the COPS campaign, a dense network of GPS receivers was installed. This data has been assimilated in real-time into the MM5 4DVAR system to improve quantitative precipitation forecasts and process understanding. Operational forecasts initialized with 4DVAR and corresponding CONTROL forecasts, initialized only by the ECMWF forecast,ran the whole COPS/D-PHASE period to provide a basis for future statistical investigations. This experiment contains only the innermost domain (2km) of the forecast initialized with the operational ECMWF forecast only (CONTROL). The corresponding 4DVAR forecast can be found as experiment dphase_mm5_2_4d. Assimilation run: - 18 km horizontal resolution - 36 level up tp 100 hPa - 64x70 grid points - MM5 3.4 (4DVAR version) - Kuo convection scheme - MRF PBL scheme - Simple radiation - Warm cloud microphysics - 3 hour assimilation window Free forecast run: only innermost 2km domain (CDOM) was archived) - Triple 2-way nested 24h forecast (18, 6, 2 km resolution) - 36 level up to 100 hPa - 64x70 points (18 km), 106x109 points (6 km), 169x184 points (2 km) - MM5 3.7.4 - Kain Fritsch 2 cumulus (no parameterization in the 2 km domain) - Reisner2 cloud microphysics - RRTM LW + Dudhia SW radiation - MRF PBL scheme - 5 layer soil model Note: here the datasets differ in time resolution (DDOM:1h, CDOM 15min) not in region. Grid description:"CDOM"+"DDOM":xinc/yinc:2.0 xnpole/ynpole:0.0 xfirst:6.0205 yfirst:47.0167 xsize:184.0 ysize:169.0
    Type: experiment
    Format: tar of jpg
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  • 64
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    dphase_mm5_60: MM5 model 72h forecast (60km) run by FZK-IMK for the MAP D-PHASE project (2007)
    WDCC
    Details
    Publication Date: 2022-04-25
    Description: 72h forecast with MM5 V3.7 using - 60km x 60km resolution - 55 x 45 Grids - NOAA GFS input - Noah land-surface scheme - MRF PBL - Grell cumulus scheme - Graupel (Reisner2) explicit moisture scheme - Cloud for atmospheric radiation Grid description: DDOM: xfirst: -6.769222 yfirst: 34.404968 xsize: 55.0 ysize: 45.0 xinc: 0.2 yinc: 0.54 xnpole: 0.0 ynpole: 0.0
    Type: experiment
    Format: tar file, zipped
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  • 65
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    dphase_aladat: ALADIN-Austria model forecasts run by ZAMG for the MAP D-PHASE project (2007)
    WDCC
    Details
    Publication Date: 2022-04-25
    Description: Aladin-Austria daily numerical weather forecast. It is a hydrostatical model, where the equations are solved by transformation to the spectral form. For the microphysics a Kessler-Typ scheme is used. Two runs are conducted each day at 00:00, 12:00 (72 hours forecast range). The horizontal resolution amounts to 9.6 km, on 45 pressure levels in the vertical. The domain spans Central Europe. Grid description: quadratic grid, Lambert Projection DDOM: xfirst: 2.53 yfirst: 42.94 xsize: 142.0 ysize: 102.0 xinc: 0.11 yinc: 0.07 xnpole: 0.0 ynpole: 0.0
    Type: experiment
    Format: tar-File(s)
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  • 66
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    cops_nebt_mf_flux: Eddy-covariance turbulence data from COPS energy balance and turbulence network stations run by Meteo-France/CNRM during COPS 2007 (2009)
    WDCC
    Details
    Publication Date: 2022-04-25
    Description: The two energy balance station run by Meteo-France/CNRM measured high-frequency (20 Hz) eddy-covariance raw data with a Solent-HS (Gill Instruments Ltd.) sonic anemometer and a LI-7500 (LI-COR Biosciences) hygrometer above the target land use type corn. The measuring set-up was continuously running during July 2007 in order to provide turbulent flux data of momentum, sensible and latent heat as well as carbon dioxide. Post-processing was performed using the software package TK2 (developed by the Department of Micrometeorology, University of Bayreuth) which produces quality assured turbulent flux data with an averaging interval of 30 min. The documentation and instruction manual of TK2 (see entry cops_nebt_ubt_info_1) and additional references about the applied flux corrections and post-field data quality control (see entry cops_nebt_ubt_info_2) as well as a document about the general handling of the flux data can be found in supplementary pdf-files within the energy balance and turbulence network (NEBT) experiment of the data base. The turbulent flux data in this data set are flagged according to their quality and checked for an impact of possible internal boundary layers. Additionally, the flux contribution from the target land use type intended to be observed to the total flux measured was calculated applying footprint modeling. Information and references about the internal boundary layer evaluation procedure and the footprint analysis are also given in additional info pdf-files. Pictures of the footprint climatology of the station as related to the land use and to the spatial distribution of the quality flags are included in the additional info pdf-file corresponding to the individual station.
    Type: dataset_group
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  • 67
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    cops_nebt_ubt_met: Radiation and soil measurement data from COPS energy network stations run by University of Bayreuth during COPS 2007 (2009)
    WDCC
    Details
    Publication Date: 2022-04-25
    Description: The energy balance stations run by University of Bayreuth continuously measured radiation and soil parameters over different land types with a sampling frequency of 1 Hz averaged to 1 min values within the data logger. After a check for plausibility the 1 min values have been averaged to 30 min intervals, which are provided in this data set. The instrumentation was different on each location. The following was measured depending on the station: - soil heat flux - soil temperature - volumetric soil water content - longwave radiation components - shortwave radiation components - tipping bucket rain gauge measurements The ground heat flux including the heat storage in the upper soil layer was determined from the measured soil heat flux, soil temperatures and volumetric soil water contents according to the 'simple measurement' (SM) method according to Liebethal and Foken (2007).
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  • 68
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    dphase_lami7: Limited Area Model Italy forecasts (COSMO model, 7 km) run by ARPA-SIM for the MAP D-PHASE project (2007)
    WDCC
    Details
    Publication Date: 2022-04-25
    Description: lami7 stands for 'Limited Area Model Italy' which is the Italian implementation of COSMO Model, run with a 7 km grid interval. COSMO model in lami7 suite is run operationally twice a day with a 7 km grid interval; it is initialised at 00 and 12 UTC with an own continuous assimilation cycle based on the nudging technique; the boundary conditions are provided by ECMWF IFS model; the integration domain ranges approximately from 0 deg E to 23 deg E and from 33 deg N to 52 deg N and the integration time range is 72 hours. The model is run at Cineca computing centre (http://www.cineca.it) on an IBM Power5 platform and in backup at ARPA-SIM (http://www.arpa.emr.it/sim/) on a Intel X86-64 Linux Cluster. Grid description: If given, the grid increments contained in the grib file have to be ignored since the precision for those parameters in GRIB1 format is not enough to represent the true value. DDOM: xfirst: -5.0 yfirst: -15.5 xsize: 186.0 ysize: 136.0 xinc: 0.0625 yinc: 0.0625 xnpole: 32.5 ynpole: -170.0
    Type: experiment
    Format: XML
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  • 69
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    dphase_inmsreps: INM-SREPS Multi-Model Multi-Boundaries Short Range EPS run by INM for the MAP D-PHASE project (2007)
    WDCC
    Details
    Publication Date: 2022-04-25
    Description: INMSREPS is 20 Member Multi-Model, Multi-Boundaries on 0.25 degree horizontal resolution with 40 vertical levels running twice a dayat 00 and 12 UTC. Forecast from HH+00h upto HH+72 h (with 6hourly forecast output). The 20 members are labeled with abbreviations, which denote the combination between limited area model (LAM)(first character) and global model condition (the next two characters): LAMs: H means HRM, I means HIRLAM, M means MM5, L means Lokal Model (COSMO) and U means Unified Model. GLOBAL CONDITIONS: AV means GFS (AVN), EC means ECMWF, GM means GME, UK means UKMO. This results in the following combinations: HAV,HEC,HGM,HUK,IAV,IEC,IGM,IUK,MAV,MEC,MGM,MUK,LAV,LEC,LGM,LUK,UAV,UEC,UGM,UUK. The 20 ensemble members are interpolated to a common verification area with 0.25 degree horizontal grid resolution, there is no FIX data set for this system. Grid description: DDOM: xfirst: 2.0 yfirst: 43.0 xsize: 65.0 ysize: 29.0 xinc: 0.25 yinc: 0.25 xnpole: 0.0 ynpole: 0.0
    Type: experiment
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  • 70
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    dphase_prevah: hydrological model PREVAH run by IAC_ETH and WSL for the MAP D-PHASE project (2007)
    WDCC
    Details
    Publication Date: 2022-04-25
    Description: dphase_prevah The hydrological model PREVAH is adopted for (ensemble) runoff forecasts for several basins in Switzerland and North Italy. Runoff nowcasting is driven by observed meteorology consisting of data from meteorological stations and operational radar precipitation data. Forecasts are computed with three deterministic NWP models and with one atmospheric ensemble predictions system (EPS). Principal investigators are the Institute for Atmospheric and Climate Sciences of the ETH (IAC_ETH) and the Swiss Federal Institute for Forest, Snow and Landscape Research (WSL). Data providers: Observed meteorology: MeteoSwiss, WSL, IST-SUPSI Rainfall Radar: MeteoSwiss CLEPS, COSMOCH2 and COSMOCH7: MeteoSwiss MM5_15: FZK, IMK-IFU Observed discharge: Swiss Federal Office for Environment (FOEN), CONTICINO Basins: Verzasca_at_Lavertezzo, Ticino_at_Bellinzona, Maggia_at_Solduno, Tresa_at_Rocchetta, Toce_at_Candoglia, Ticino_at_Miorina, Thur_at_Andelfingen, Linth_at_Mollis Sub-Experiments: Runoff nowcasting, CLEPS, COSMOCH2 and COSMOCH7 at all basins MM5_15 and Rainradar only at Verzasca_at_Lavertezzo, Thur_at_Andelfingen, Linth_at_Mollis
    Type: experiment
    Format: tar-File(s)
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  • 71
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    dphase_dimosop: hydrological model DIMOSOP run by University of Brescia for the MAP D-PHASE project (2009)
    WDCC
    Details
    Publication Date: 2022-04-25
    Description: The hydrological model DIMOSOP was run by University of Brescia with three different atmospheric forcings and different runoff forecast times. For more information on the model please contact the originator. Basins: Brenta at Bassano, Avisio at Stramentizzo, Noce at S.Giustina, Sarca at Maso Gobbo, Chiese at Lago Idro, Mella at Stocchetta, Oglio at Sarnico, Chiese at Malga Bissina, Lago d Arno, Lago d Avio, Cismon at Corlo, Toce at Candoglia, Rio del Sabbione at Sabbione, Gries at Morasco, T.Roni at Toggia, Rio d Arbola at Codelago, Melezzo at Masera, Bogna at Pontecaddo, Toce at Pontemaglio, Anza at Piedimulera, Isorno at Pontetto, Diveria at Crevoladossola, Ovesca at Villadossola, Anza at Ceppo Morelli, Diga Antrona, Ciampere at Avino, Ovesca at Alpe Cavalli, Devero at Agaro, Lago Busin, Lago Vannino, Taro at Pontetaro, Taro at S.Secondo, Cismon at Corlo
    Type: experiment
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  • 72
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    dphase_larsimby: hydrological model LARSIM (Bavaria) forecasts run by WWA-KE for the MAP D-PHASE project (2009)
    WDCC
    Details
    Publication Date: 2022-04-25
    Description: Hydrological forecasts with hydrological model LARSIM (LARSIM=LArge Area Runoof Simulation Model, BY=Bavaria, Conceptual RR-model. Forecast depth: 72 hours.) for rivers Iller and Lech (DE) driven by numerical weather prediction models LME, GME, GFS. The runs were performed by "Wasserwirtschaftsamt Kempten" (WWA-KE).
    Type: experiment
    Format: zip-file
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  • 73
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    dphase_fest: hydrological model FEST run by Politecnico di Milano for the MAP D-PHASE project (2009)
    WDCC
    Details
    Publication Date: 2022-04-25
    Description: The goal of the experiment is to drive FEST, a rainfall-runoff distributed model with continuous soil moisture account, with ensemble forecasts from COSMO-LEPS (CLEPS) and with forecasts from ISACMOL2. The application domain is the Toce-Ticino and Maggia watershed. Hydrograph simulations and alerts are provided for Candoglia (Toce), Solduno (Maggia) and Bellinzona (Ticino). The runs were provided by Politecnico di Milano (PoliMi), Italy.
    Type: experiment
    Format: XML
    Format: NetCDF
    Format: tar of png
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    DATA DKRZ
  • 74
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    Intercorrelation of down-core variations of the high-resolution magnetic susceptibility for CON01-603 and CON01-605 (2006)
    Deutsches GeoForschungsZentrum GFZ
    Details
    Publication Date: 2022-05-13
    Description: Abstract
    Description: Down-core variations of the high-resolution magnetic susceptibility (0.1 cm steps)have been obtained for kasten and pilot cores from sites CON01-603 and CON01-605. This allowed the transfer of AMS 14C dating performed on kasten cores to the performed on kasten cores to the pilot cores subjected to paleomagnetic investigations. Note the discrepancies in the magnetic susceptibility curves from the pilot core from site CON 01-605 (Vydrino Shoulder) measured in 2001 and 2003, respectively (right). Several large peaks visible in the first measurement from 2001 (dashed lines) disappeared after a 2-year-long storage. This is a first hint for the presence the ferromagnetic, chemically unstable greigite.
    Keywords: Vereshchagin Long Cores Expedition 2001 ; R/V Vereshchagin ; magnetic susceptibility ; loop sensor
    Language: English
    Type: Dataset , Dataset
    Format: 9666 Datapoints
    Format: text/tab-separated-values
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    DATA GFZ
  • 75
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    The German Heat Flow Database 2022 (2022)
    GFZ Data Services
    Details
    Publication Date: 2023-01-05
    Description: Abstract
    Description: The data publication contains all heat-flow data of onshore Germany. The data release contains data generated between 1959 and 2020 and constitutes a substantial update and extension compared to the last compilation provided by the Geothermal Atlas from Hurter & Haenel (2002). The data set comprises new heat-flow determinations published after 2002 as well as data from before 2002, which were not included in the Hurter & Haenel atlas. The resulting updated database contains 836 determinations of heat flow at 595 locations from 42 publications. 85% of the reported heat-flow values are determined in boreholes, 5% in mines, and further 9 % are from onshore lake measurements using marine probe sensing techniques. The reporting and storing of the database is following the structure of the IHFC Global Heat Flow Database (Fuchs et al., 2021). A comprehensive description, including field classifications and ex-amples of associated data, is documented there. The IHFC database concept introduces parent elements (providing site-specific information), child elements (i.e. heat-flow values determined at the site and associated meta-data) and further fields providing additional information for the eval-uation of heat-flow quality. Thus, it provides a detailed collection of data and meta-data infor-mation, exceeding the sparse information on coordinates, name and heat-flow value provided in Hurter & Haenel (2002). In our release of the German heat-flow values, we have added fields about the applied quality scoring, the reasoning for inclusion or exclusion of data due to quality, and a descriptive field of the regional tectonic or geological units. For details of this procedure see Fuchs et al. (2022). The associated data description provides the full list of data sources (publications), while the DOI landing page only displays digital versions of articles if available.
    Keywords: heat flow ; geothermal potential ; onshore ; EARTH SCIENCE 〉 ATMOSPHERE 〉 ATMOSPHERIC RADIATION 〉 HEAT FLUX ; EARTH SCIENCE 〉 OCEANS 〉 OCEAN HEAT BUDGET 〉 HEAT FLUX ; physical property 〉 temperature
    Type: Dataset , Dataset
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    DATA GFZ
  • 76
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    Global Distribution of Frost Cracking Intensity during Late Cenozoic Time-slices (2022)
    GFZ Data Services
    Details
    Publication Date: 2023-01-02
    Description: Abstract
    Description: This dataset includes the first order (global) distribution of frost cracking intensities (FCI) [°C m], for selected paleoclimate time-slices during Late Cenozoic, as presented in the paper by Sharma et al. (2022). The paleoclimate time-slices correspond to Pre-Industrial (~1850 CE, PI), Mid-Holocene (~6 ka, MH), Last Glacial Maximum (~21 ka, LGM) and Pliocene (~3 Ma, PLIO). The FCI (by segregation ice growth) is predicted using the approach of Andersen et al. (2015), as a function of subsurface thermal gradient and volume of (and distance to) liquid water. The paleo-temperature reconstructions are obtained from ECHAM5 general circulation model (GCM) at T159 spatial resolution (80 km * 80 km) by Mutz et al. (2018). The spatial resolution of FCI dataset is same as ECHAM5 GCM simulations (i.e. 80 km * 80 km). The dataset comprises the following: -Scripts (Python) for modeling FCI for approach described in Sharma et al. (2022). -Global FCI distribution as netCDF and ascii formats. The data is available in both netCDF and ascii formats. However, the model code (attached Python scripts) currently supports only netCDF format. The model scripts can be freely utilized for regional and local studies which require finer resolution dataset. Please refer to the associated data description file for a detailed description of the dataset.
    Description: Methods
    Description: The model is based on the approach of Andersen et al. (2015) to estimate FCI as a function of subsurface thermal gradients up to the depth of 20 m. For segregation ice growth, it additionally considers the influence of volume of water available in the proximity of an ice lens. The boundary condition includes the presence of positive temperatures (T 〉 0 °C) at either boundary (at surface or 20 m depth). The frost cracking is supported if the bedrock temperature is in the frost cracking window (–8 °C and –3 °C). The integrated FCI each grid cell, across Earth’s terrestrial surface was calculated by depth integration of the FCI averaged over a period of 1 year. The unit of FCI data is °C m.
    Keywords: Periglacial processes ; frost weathering ; frost cracking intensity ; paleoclimate ; Cenozoic ; EarthShape ; EARTH SCIENCE 〉 SOLID EARTH 〉 GEOMORPHIC LANDFORMS/PROCESSES 〉 GLACIAL PROCESSES 〉 PERIGLACIAL PROCESSES
    Type: Dataset , Dataset
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    DATA GFZ
  • 77
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    Lifetime of Energetic Electrons due to Interactions with Chorus Waves (2022)
    GFZ Data Services
    Details
    Publication Date: 2023-01-04
    Description: Abstract
    Description: In the near-Earth space, there are a large population of high energy electrons trapped by Earth’s magnetic field. These energetic electrons are trapped in the regions called Earth’s ring current and radiation belts. They are very dynamic and show a very strong dependence on solar wind and geomagnetic conditions. These energetic electrons can be dangerous to satellites in the near-Earth space. Therefore, it is very important to understand the mechanisms which drive the dynamics of these energetic electrons. Wave particle interaction is one of the most important mechanisms. Among the waves that can be encountered by the energetic electrons when they move around our Earth, whistler mode chorus waves can cause both acceleration and the loss of energetic electrons in the Earth's radiation belts and ring current. To quantify the effect of chorus waves on energetic electrons, we calculated the bounce-averaged quasi-linear diffusion coefficients using the chorus wave model developed by Wang et al (2019) and extended to higher latitudes according to Wang and Shprits (2019). Using these diffusion coefficients, we calculated the lifetime of the electrons with an energy range from 1 keV to 2 MeV. In each magnetic local time (MLT), we calculate the lifetime for each energy and L-shell using two different methods according to Shprits et al (2007) and Albert and Shprits (2009). We make the calculated electron lifetime database available here. Please notice that the chorus wave model by Wang et al (2019) is valid when Kp 〈= 6. If the user wants to use this lifetime database for Kp 〉6, please be careful and contact the authors.
    Keywords: Electron lifetime ; radiation belts ; ring current ; chorus waves ; EARTH SCIENCE 〉 SUN-EARTH INTERACTIONS 〉 IONOSPHERE/MAGNETOSPHERE DYNAMICS 〉 PLASMA WAVES
    Type: Model , Model
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    DATA GFZ
  • 78
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    Frequency-dependent quality factors of S-coda waves from active ultrasonic transmission measurements in the STIMTEC project, URL Reiche Zeche, Germany (2022)
    GFZ Data Services
    Details
    Publication Date: 2023-01-09
    Description: Abstract
    Description: Mean S-wave coda quality factors (mean-Qc) were estimated from active ultrasonic transmission (UT) measurements acquired during the STIMTEC project in the URL Reiche Zeche (Saxony, Germany). We used S-coda waves of 88 selected UT measurements carried out in 3 differently oriented boreholes (BH10, BH12, BH16) to estimate the spatial change of the coda quality factor in the targeted rock volume, an anisotropic metamorphic gneiss. We also analysed temporal variation in attenuation before and after hydraulic stimulations performed in two boreholes (BH10, BH17). We formed in total 8 UT groups (see data table "2022-004_Blanke-and-Boese_mean_UT_event_locations") from neighbouring UT measurements within different depths and from separated time intervals (see also Tab. 1 in Blanke et al. 2023), and compare mean-Qc estimates of centre frequencies ranging 3-21 kHz of octave-width frequency bands. Our results show a characteristic frequency-dependence and we find that mean-Qc estimates reveal temporal-variations of attenuation more significantly than those obtained from velocity measurements. The temporal variations are strongly connected to hydraulic stimulation activities resulting in a reduction of the coda quality factor where AE events occurred. Analysis of mean-Qc estimates after a temporal resting phase (with no activity in the rock volume) suggests that frequencies 〉 15 kHz indicate healing of small-scale fractures induced by injections. The study shows that coda analysis is a powerful tool for the detection of damage zones and for monitoring changes of the local fracture network within reservoirs important for exploitation or underground storage of gases and liquids.
    Description: Methods
    Description: We applied the S-coda wave analysis of Phillips (1985), which is based on the single isotropic scattering model, to estimate the frequency dependent coda quality factor Qc for each UT measurement at each sensor in the mine. The approach of Sato (1977) allows to start the analysis early in the S-wave coda as waveforms are corrected for geometrical scattering effects. The applied method comprises two parts: 1)Moving window analysis: We followed the results of the sensitivity analysis of Blanke et al. (2019) to select the analysis parameters. We use a moving window length of 1,024 samples, a lapse time of 1.1 x ts (S-onset time), a coda length of 9,000 samples (9 ms), and a minimum signal-to-noise ratio of 2. A reference noise window is selected from the end of the seismogram. Seismograms were filtered in octave-width frequency bands and the Power Spectral Density (PSD) was estimated for the pre-defined moving windows and each frequency band. 2)Regression analysis: A regression line was fitted through the coda amplitude measurements of each frequency band. Qc values were estimated from the slopes of regression lines and uncertainties (2σ standard deviation) were calculated from the slope coefficient estimates. In a final step, mean-Qc estimates per centre frequency were estimated at each sensor for each UT group (see data tables 3-10). Mean-Qc values were estimated from a minimum of 3 neighbouring UT events. Only for group UT1BH16-AFT, some mean-Qc values were estimated from less UT events due to the short borehole section beyond a previously defined damage zone that spatially separates the UT groups.
    Description: Other
    Description: The STIMTEC hydraulic stimulation experiment (see Boese et al. 2022 for details) was conducted between 2018 and 2019 in the URL Reiche Zeche in Freiberg (Germany). The experiment aimed at investigating the role of stimulation processes in enhancing hydraulic properties of crystalline rocks. Active and passive seismic measurements were acquired in strongly foliated metamorphic gneiss during several phases of hydraulic stimulation-, testing-, and validation phases. Active measurements were conducted along two galleries (driftway and vein drift), and in several boreholes with different and mostly downward dipping orientations in the monitored rock volume (dimensions 40 m x 50 m x 30 m). The seismic network consisted of 12 Acoustic emission (AE) sensors (see data table 2), high-frequency accelerometers, and a broadband sensor installed in short and mainly upward trending boreholes above the monitored rock volume. Sensor and UT data configurations are provided by Boese et al. (2021). Hydraulic stimulations were conducted in boreholes BH10 (16-18 July, 2018) and BH17 (21-22 August, 2019) in different depth intervals and with different total injected volumes, resulting in the occurrence of AE events. This AE activity highlights activation and reactivation of fractures at the decimetre scale. The 88 analysed UT measurements (out of 〉 300) were acquired from boreholes BH10, BH12, and BH16. BH10 and BH16 run subparallel about 4.5 m apart and dip approx. 15° downwards. BH12 dips 36° from the driftway and crosses BH10 and BH16 below at approx. 33.9 and 18 m borehole depth, respectively.
    Keywords: ultrasonic transmission ; UT ; coda Q ; quality factor ; S-wave ; attenuation ; scattering ; spatio-temporal analysis ; acoustic emission ; injection ; frequency-dependency ; underground research laboratory ; URL ; Reiche Zeche ; STIMTEC ; active seismicity ; active measurements ; damage zone ; single isotropic scattering model ; borehole ; mine ; meter-scale ; EARTH SCIENCE 〉 SOLID EARTH 〉 TECTONICS 〉 EARTHQUAKES
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    DATA GFZ
  • 79
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    Earthquake catalogues from a hydrothermal system near Istanbul derived with template matching and AI techniques (2023)
    GFZ Data Services
    Details
    Publication Date: 2023-01-10
    Description: Abstract
    Description: The three datasets presented here are high-resolution catalogs containing origin time of seismic events for the same region and time range that have derived using AI-based techniques and a matched filter search. The corresponding standard catalogs from the agencies AFAD and KOERI are available under https://tdvms.afad.gov.tr/ (last accessed 28/07/2022) and http://www.koeri.boun.edu.tr/sismo/2/earthquake-catalog/ (last accessed 28/07/2022), respectively, when searching in the bulletin for longitude 28.80-29.10, latitude 40.4-40.625, and from November 1st 2018 to January 31th, 2019. Specifications for the three catalogs are. (i) Catalog derived utilizing AI-based techniques. We applied the PhaseNet deep learning method (Zhu & Beroza, 2019) to detect and pick the P-and S- waves of seismic events embedded in continuous seismic recordings from 16 stations surrounding the region of interest resampled at 100 Hz. The method was trained on a dataset from Northern California, but has been shown to generalize well to other tectonic settings. The picks were associated into seismic events using the GaMMA association method (Zhu et al., 2022). Manual check of the waveforms from all detections led to 516 seismic events with clear waveforms retained for further processing. (ii) Template matching catalog A. We applied the matched filter algorithm EQcorrscan (Chamberlain et al., 2017) to the two nearby seismic stations with the largest data recovery during the period of interest, ARMT and MDNY. We utilized 14 manually picked template events with M 〉 2 that occurred in the region of interest during the analyzed time period, which were recorded in both stations. As a first criteria to remove false detections, we retained only detections exhibiting a Median Absolute Deviation (MAD) larger than eight. We required detections from different templates to be at least 1.5 seconds apart. To remove duplicate detections (e.g., detections of the same event by different templates), we retained the detections with the highest average correlation if multiple detections occurred within 2.5 seconds. As a second criteria, we calculated cross-correlation derived phase-picks. A pick was declared if the maximum normalized correlation between the signal of the template event and of the detection exceeds 0.7. We correlated the signals in a short window of ±0.3 seconds around the assumed pick time based on a time-shifted version of the template phase-pick. We retained the S-pick exhibiting the higher cross-correlation value with respect to the template. Following this step, we considered only detections with ≥ 2 picks. In case of events with only two picks we ensured that that were from the same station to have control on the ts-tp and therefore the distance of the event from the detecting station. This catalog contains 2,462 seismic events (all manually reviewed) with magnitudes MW in the range [-2.4, 4.5]. Since we were not able to locate the events from this catalog, we considered as “origin time” the time of the first arrival. (iii) Template matching catalog B. We derived a second template matching catalog utilizing twelve of the closest seismic stations displaying high seismic data recovery during the analyzed time period. An initial list of detections was generated following the same steps as for the Template Matching Catalog A, with the additional requirement that all detections must contain at least one picks from one of the two closest stations, ARMT and MDNY. All detections from this catalog were also manually reviewed. The full description of the data processing and creation of the catalog is provided in the article “Stress changes can trigger earthquake sequences in a hydrothermal region south of Istanbul” by Martínez-Garzón et al., currently under review in Geophysical Research Letters.
    Keywords: sea level changes ; seismicity ; enhanced seismicity catalog ; Sea of Marmara region ; EARTH SCIENCE 〉 OCEANS 〉 OCEAN WINDS ; EARTH SCIENCE 〉 OCEANS 〉 TIDES ; EARTH SCIENCE 〉 SOLID EARTH 〉 TECTONICS 〉 EARTHQUAKES ; EARTH SCIENCE 〉 SOLID EARTH 〉 TECTONICS 〉 EARTHQUAKES 〉 EARTHQUAKE OCCURRENCES
    Type: Dataset , Dataset
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    DATA GFZ
  • 80
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    3D structural geological model of the Central South Wales Syncline, Great Britain (2021)
    GFZ Data Services
    Details
    Publication Date: 2023-01-11
    Description: Abstract
    Description: South Wales is characterised by a rich variety of geologic formations and rocks of different ages and periods, and a large asymmetric syncline, as perhaps its most significant structural geological feature, extending from east to west over a length of approximately 96 km and 30 km from north to south, respectively. This oval-shaped syncline is part of the Variscan orogenic thrust and fold belt in Central Europe and covers some 2,700 km2, with coal-bearing rocks from the Upper Carboniferous (Westphalian Stage) deposited in the central syncline and older rocks outcropping in a peripheral belt around it. The coal-bearing sequence begins with Namurian grits and shales, overlain by the more productive Lower, Middle and Upper Coal Measures. A 3D structural geological model has been implemented for the central part of the South Wales Syncline and its bedrock geology. The oldest rocks in the model domain date back to the Pridoli Series from the uppermost Silurian, the youngest to the Westphalian Stage of the Upper Carboniferous. For model implementation, mainly open access data from the British Geological Survey (BGS) has been used. The final 3D structural geological model covers the entire Central South Wales Syncline and is 32.8 km wide and 36.6 km long. In total, the 3D model includes 21 fault zones and the elevation depth of ten surfaces: (1) Top Upper Coal Measures Formation; (2) Top Middle Coal Measures Formation; (3) Top Lower Coal Measures Formation; (4) Top Millstone Grit Group; (5) Top Dinantian Rocks; (6) Top Upper Devonian Rocks; (7) Top Lower Devonian Rocks (sandstone dominated); (8) Top Lower Devonian Rocks (mudstone dominated); (9) Top Pridoli Rocks; (10) Top Ludlow Rocks (in parts).
    Keywords: 3D structural geological model ; geology South Wales ; South Wales Syncline ; Central Europe ; bedrock geology ; fault zones ; geologic cross sections ; Carboniferous ; Coal Measures ; Westphalian ; Millstone Grit Group ; Dinantian Rocks ; Devonian ; Pridoli Rocks ; Silurian ; Ludlow Rocks ; Variscan Orogeny ; Variscan Foreland Basin ; coal-bearing strata ; Namurian grits ; shales ; sandstones ; siltstones ; fluvial sedimentation ; marine sedimentation ; elevation depth map ; thickness map ; LithoFrame Viewer ; Geology of Britain Viewer ; EARTH SCIENCE SERVICES 〉 MODELS 〉 GEOLOGIC/TECTONIC/PALEOCLIMATE MODELS ; Phanerozoic 〉 Mesozoic 〉 Jurassic 〉 Early/Lower Jurassic ; Phanerozoic 〉 Mesozoic 〉 Triassic ; Phanerozoic 〉 Paleozoic 〉 Carboniferous ; Phanerozoic 〉 Paleozoic 〉 Devonian 〉 Early/Lower Devonian ; Phanerozoic 〉 Paleozoic 〉 Devonian 〉 Late/Upper Devonian ; Phanerozoic 〉 Paleozoic 〉 Permian ; Phanerozoic 〉 Paleozoic 〉 Silurian 〉 Pridoli
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    DATA GFZ
  • 81
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    GFZ Precise Science Orbit Products for satellites equipped with DORIS receiver (version 2) (2022)
    GFZ Data Services
    Details
    Publication Date: 2023-01-13
    Description: Abstract
    Description: Orbital products describe positions and velocities of satellites, be it the Global Navigation Satellite System (GNSS) satellites or Low Earth Orbiter (LEO) satellites. These orbital products can be divided into the fastest available ones, the Near Realtime Orbits (NRT, Zitat), which are mostly available within 15 to 60 minutes delay, followed by Rapid Science Orbit (RSO, Zitat) products with a latency of two days and finally the Precise Science Orbit (PSO) which, with a latency of up to a few weeks or longer in the case of reprocessing campaigns, are the most delayed. The absolute positional accuracy increases from NRT to PSO. This dataset compiles the PSO products for various LEO missions and GNSS constellation in sp3 format. GNSS Constellation: - GPS LEO Satellites: -ENVISAT -Jason-1 -Jason-2 -Jason-3 -Sentinel-3A -Sentinel-3B -Sentinel-6A -TOPEX Each solution follows specific requirements and parametrizations which are named in the respective processing metric table.
    Description: TechnicalInfo
    Description: Within the scope of various international working groups and services, and mission involvements, such as Copernicus POD QWG, IDS, ILRS, TanDEM-X, GRACE(-FO), different PSO orbits are generated at GFZ. These orbits ensue to the best of one’s ability the specific requirements and are based either on one individual observation technique or on a combination of several. Adopted processing settings and, in the case of dynamic POD, parameterizations and modeling are listed in a respective processing metric table. The orbits are stored in the GFZ Information System and Data Center (ISDC) and to the extent deemed possible freely available for the scientific community world-wide
    Keywords: Level-3 ; Satellite Geodesy ; Low Earth Orbiter ; Orbit ; TOR ; TSX ; GRACE-FO ; GPS ; RSO ; SAR ; IGOR ; Tracking ; Occultation ; Satellite Laser Ranging ; SLR ; Earth Observation Satellites 〉 ENVISAT ; Earth Observation Satellites 〉 JASON-1 ; Earth Observation Satellites 〉 OSTM/JASON-2 ; Earth Observation Satellites 〉 SATELLITES ; Earth Observation Satellites 〉 Sentinel GMES 〉 SENTINEL-3 ; Earth Observation Satellites 〉 TOPEX/POSEIDON ; Earth Remote Sensing Instruments 〉 Passive Remote Sensing 〉 Positioning/Navigation 〉 DORIS GROUND STATION BEACON ; Earth Remote Sensing Instruments 〉 Passive Remote Sensing 〉 Positioning/Navigation 〉 GNSS ; Earth Remote Sensing Instruments 〉 Passive Remote Sensing 〉 Positioning/Navigation 〉 GPS 〉 GNSS RECEIVER ; Earth Remote Sensing Instruments 〉 Passive Remote Sensing 〉 Positioning/Navigation 〉 GPS 〉 GPS ; Earth Remote Sensing Instruments 〉 Passive Remote Sensing 〉 Positioning/Navigation 〉 GPS 〉 GPS CLOCKS ; Earth Remote Sensing Instruments 〉 Passive Remote Sensing 〉 Positioning/Navigation 〉 GPS 〉 GPS RECEIVERS ; Earth Remote Sensing Instruments 〉 Passive Remote Sensing 〉 Positioning/Navigation 〉 GPS 〉 GPSP ; Earth Remote Sensing Instruments 〉 Passive Remote Sensing 〉 Positioning/Navigation 〉 GYROS ; Earth Remote Sensing Instruments 〉 Passive Remote Sensing 〉 Positioning/Navigation 〉 Laser Ranging ; Earth Remote Sensing Instruments 〉 Passive Remote Sensing 〉 Positioning/Navigation 〉 Laser Ranging 〉 LASER TRACKING REFLECTOR ; Earth Remote Sensing Instruments 〉 Passive Remote Sensing 〉 Positioning/Navigation 〉 Laser Ranging 〉 LRA ; Earth Remote Sensing Instruments 〉 Passive Remote Sensing 〉 Positioning/Navigation 〉 Laser Ranging 〉 SLR ; Earth Remote Sensing Instruments 〉 Passive Remote Sensing 〉 Positioning/Navigation 〉 Radio 〉 DORIS ; Earth Remote Sensing Instruments 〉 Passive Remote Sensing 〉 Positioning/Navigation 〉 Radio 〉 INS ; Earth Remote Sensing Instruments 〉 Passive Remote Sensing 〉 Positioning/Navigation 〉 Radio 〉 USO ; EARTH SCIENCE 〉 SOLID EARTH 〉 GEODETICS ; Navigation Platforms 〉 Galileo (Europe's European Satellite Navigation System) ; Navigation Platforms 〉 GPS (Global Positioning System) ; Navigation Platforms 〉 NAVSTAR
    Type: Collection , Collection
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    DATA GFZ
  • 82
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    DAS-VSP Data from the Feb. 2017 Survey at the Groß Schönebeck Site, Germany (2021)
    GFZ Data Services
    Details
    Publication Date: 2023-01-16
    Description: Abstract
    Description: This data publication contains vertical seismic profiling (VSP) data collected at the Groß Schönebeck site, Germany, from February 15-18, 2017. Energy excitation was performed with vibroseis sources. Data was acquired in the two 4.3 km deep wells E GrSk 3/90 and Gt GrSk4/05 using hybrid wireline fiber-optic sensor cables and distributed acoustic sensing (DAS) technology. The survey design and data acquisition, the overall characteristics of the acquired data, as well as the data processing and evaluation for a zero-offset source position are described in the paper of Henninges et al. (2021) published in Solid Earth. The data for several source positions presented in this paper is contained here, mostly in the form of full waveform data stored in seg-y format. A detailed description of the individual data sets is given in the attached data description document.
    Keywords: vertical seismic profiling ; fiber-optic sensing ; distributed acoustic sensing ; enhanced geothermal systems ; EARTH SCIENCE 〉 HUMAN DIMENSIONS 〉 ECONOMIC RESOURCES 〉 ENERGY PRODUCTION/USE 〉 GEOTHERMAL ENERGY PRODUCTION/USE ; EARTH SCIENCE 〉 SOLID EARTH 〉 TECTONICS 〉 EARTHQUAKES 〉 SEISMIC PROFILE 〉 SEISMIC BODY WAVES ; energy 〉 energy type 〉 non-conventional energy 〉 geothermal energy ; monitoring 〉 seismic monitoring
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    DATA GFZ
  • 83
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    Input and resulting structural and parameterized subsurface data for a geological model of the geothermal research platform Groß Schönebeck (North German Basin) (2022)
    GFZ Data Services
    Details
    Publication Date: 2023-01-16
    Description: Abstract
    Description: The dataset presented in this compilation provides the input data used for the geological interpretation and for the model parameterization (Norden et al., 2022) of a 3D seismic survey in the area of the geothermal research platform Groß Schönebeck (carried out in 2017; Krawczyk et al., 2019), focussing on the deep Permo-Carboniferous geothermal targets. The geothermal research platform Groß Schönebeck is located about 50 km north of Berlin, on the southern edge of the Northeast German Basin, and is equipped with two deep wells, the E GrSk 3/90 and Gt GrSk 4/05 boreholes. In this data compilation we provide general data on the location of the boreholes and data on the applied methods and the interpretation of petrophysical properties (density, porosity, permeability, thermal properties) obtained by core analysis and well-log interpretation. Because cores were available for the E GrSk 3/90 borehole only, most of the data is referring to the borehole that was drilled more or less vertically. The other borehole (Gt GrSk 4/05) is a deviated well, drilled as a geothermal production well. Further on, we provide the main interpreted structural reflector horizons of the geological model from surface to the assumed top of sedimentary Carboniferous (for discussion of the uncertainty of this boundary please consider the comments in Norden et al., 2022) and the horizons and 3D grid properties of a parameterized simulation grid for the deep geothermal target (sedimentary Rotliegend and Permo-Carboniferous volcanic rocks).
    Keywords: Groß Schönebeck ; reservoir model ; petrophysical parameterization ; Rotliegend ; Permo-Carboniferous volcanic rocks ; EPOS ; geo-energy test beds ; compound material 〉 rock 〉 igneous rock ; compound material 〉 rock 〉 sedimentary rock ; EARTH SCIENCE 〉 SOLID EARTH 〉 GEOTHERMAL DYNAMICS 〉 GEOTHERMAL ENERGY ; EARTH SCIENCE 〉 SOLID EARTH 〉 ROCKS/MINERALS/CRYSTALS 〉 SEDIMENTARY ROCKS 〉 SEDIMENTARY ROCK PHYSICAL/OPTICAL PROPERTIES ; EARTH SCIENCE SERVICES 〉 MODELS 〉 GEOLOGIC/TECTONIC/PALEOCLIMATE MODELS ; In Situ/Laboratory Instruments 〉 Corers ; Models/Analyses 〉 Merged Analysis ; Phanerozoic 〉 Paleozoic 〉 Permian
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    DATA GFZ
  • 84
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    3D DAS-VSP data from the Groß Schönebeck site, Germany, February 2017 (2022)
    GFZ Data Services
    Details
    Publication Date: 2023-01-16
    Description: Abstract
    Description: An extensive vertical seismic profiling (VSP) survey using wireline distributed acoustic sensing (DAS) technology was carried out between the 15th and 18th of February 2017 at the geothermal in-situ laboratory Groß Schönebeck, Germany. Borehole measurements were recorded in two 4.3 km deep wells E GrSk 3/90 and Gt GrSk 4/05. Two hybrid fibre optics cables were freely lowered inside the wells to form dense receiver arrays. As a seismic source, four heavy vibroseis trucks were used. The survey consisted of 61 source positions distributed in a spiral pattern around the target area. This data publication consists of raw uncorrelated seismic data acquired for 3D seismic imaging purposes. Supplementary information such as well trajectories, source point coordinates, and the pilot sweep data is also provided. Data related to zero-offset measurements can be found in Henninges et al. (2021, https://doi.org/10.5880/GFZ.4.8.2021.001). Further details on the survey design and data acquisition parameters can be found in Henninges et al. (2021, https://doi.org/10.5194/se-12-521-2021); Martuganova et al. (2021, 2022). Information on high-resolution 3D reflection seismic acquisition campaign carried out at Groß Schönebeck in February–March 2017 can be found in Krawczyk et al. (2019); Bauer et al. (2020); Norden et al. (2022). The 3D DAS VSP processing workflow, 3D DAS imaging results, and comparison with 3D surface seismics are presented in Martuganova et al. (2022).
    Keywords: vertical seismic profiling ; distributed acoustic sensing ; fibre optics ; enhanced geothermal systems ; North German basin ; Groß Schönebeck ; EARTH SCIENCE 〉 SOLID EARTH 〉 GEOTHERMAL DYNAMICS 〉 GEOTHERMAL ENERGY ; EARTH SCIENCE 〉 SOLID EARTH 〉 TECTONICS 〉 EARTHQUAKES 〉 SEISMIC PROFILE 〉 SEISMIC BODY WAVES
    Type: Dataset , Dataset
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  • 85
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    Software for analyzing Globe at Night data (2022)
    GFZ Data Services
    Details
    Publication Date: 2023-01-18
    Description: Abstract
    Description: This publication contains software that can be used to pre-process data from the Globe at Night citizen science project, and then run an analysis to determine the rate of change in sky brightness. The software requires input data, which can be obtained directly from Globe at Night. The data used for our publication "Citizen scientists report global rapid reductions in the visibility of stars from 2011 to 2022" is published here, and can be used as input to the software. The process requires access to the World Atlas of Artificial Night Sky Brightness, which is also available from GFZ Data Services.
    Description: Other
    Description: Copyright © 2022 the authors and their institutions Licensed under the Apache License, Version 2.0 (the "License"); you may not use these files except in compliance with the License. You may obtain a copy of the License at http://www.apache.org/licenses/LICENSE-2.0. Unless required by applicable law or agreed to in writing, software distributed under the License is distributed on an "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the License for the specific language governing permissions and limitations under the License.
    Keywords: light pollution ; python ; perl ; data ; naked eye limiting magnitude ; skyglow ; EARTH SCIENCE 〉 ATMOSPHERE 〉 ATMOSPHERIC RADIATION ; In Situ Land-based Platforms 〉 FIELD SURVEYS ; In Situ Land-based Platforms 〉 GROUND-BASED OBSERVATIONS ; Solar/Space Observing Instruments 〉 Photon/Optical Detectors ; The Present
    Type: Software , Software
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  • 86
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    The gravimetric geoid of Costa Rica: GCR-RSH-2020 (2020)
    GFZ Data Services
    Details
    Publication Date: 2023-01-20
    Description: Abstract
    Description: The geoid for Costa Rica GCR-RSH-2020 (Geoide-Costarricense-Regional Calculado con el Método de Stokes-Helmert) is a 1 arc minute grid computed from terrestrial, marine and satellite gravity data. It is remarkable the comprehensive data cleaning and the use of new terrestrial gravity values which were not included in any other geoid determinations. The GECO global geopotential model was used for the data gap filling. The GCR-RSH-2020 computation was based on the Stokes-Helmert approach developed by the University of New Brunswick, using GOCO05s as background global geopotential model. The resulting geoid is distributed in the WGS84 system (note that between WGS84 and WRS80, there is a shift of approximately 93 cm for Costa Rica). The GCR-RSH-2020 accuracy was assessed by comparing it with GNSS/levelling values on 25 selected benchmarks of the Costa Rica vertical reference system, showing differences with a standard deviation of 0.207 m. The geoid model is provided in ISG format 2.0 (ISG Format Specifications), while the file in its original data format is available at the model ISG webpage.
    Description: Other
    Description: The International Service for the Geoid (ISG) was founded in 1992 (as International Geoid Service - IGeS) and it is now an official service of the International Association of Geodesy (IAG), under the umbrella of the International Gravity Field Service (IGFS). The main activities of ISG consist in collecting, analysing and redistributing local and regional geoid models, as well as organizing international schools on the geoid determination (Reguzzoni et al., 2021).
    Keywords: Geodesy ; Geoid model ; ISG ; UNB Stokes-Helmert approach ; Costa Rica ; EARTH SCIENCE 〉 SOLID EARTH 〉 GEODETICS 〉 GEOID CHARACTERISTICS ; EARTH SCIENCE 〉 SOLID EARTH 〉 GRAVITY/GRAVITATIONAL FIELD 〉 GRAVITY
    Type: Dataset , Dataset
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  • 87
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    Model files for the Neural network-based model of Electron density in the Topside ionosphere (NET) (2023)
    GFZ Data Services
    Details
    Publication Date: 2023-01-20
    Description: Abstract
    Description: Here, we present model files and example scripts for the Neural network-based model of Electron density in the Topside ionosphere (NET). The model is based on radio occultation data from Gravity Recovery And Climate Experiment (GRACE), Challenging Minisatellite Payload (CHAMP) and Constellation Observing System for Meteorology Ionosphere and Climate (COSMIC-1) missions from 2001 until 2019. The NET model is based on alpha-Chapman functions with a linear decay of scale height with altitude, and consists of 4 sub-models (2 parameters of the F2-peak and 2 parameters of the linear scale height decay). The model uses geographic and magnetic latitude and longitude, magnetic local time, day of year, altitude, solar flux index P10.7, geomagnetic activity index Kp, storm-time SYM-H index as inputs. An example data frame to run the model is provided, as well as the Jupyter notebook to perform an example run.
    Keywords: ionosphere ; machine learning ; empirical model ; neural network ; EARTH SCIENCE 〉 SUN-EARTH INTERACTIONS 〉 IONOSPHERE/MAGNETOSPHERE DYNAMICS ; EARTH SCIENCE SERVICES 〉 MODELS 〉 SOLAR-ATMOSPHERE/SPACE-WEATHER MODELS
    Type: Model , Model
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  • 88
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    FlotteKarte - a Python library for quick and versatile cartography based on PROJ4-string syntax and using Matplotlib, NumPy, and PyPROJ under the hood (2022)
    GFZ Data Services
    Details
    Publication Date: 2023-01-22
    Description: Abstract
    Description: FlotteKarte is a low-overhead plotting routine using Matplotlib, NumPy, and PyPROJ under the hood. The conceptual idea behind this package is that a map is fully defined through the 2D cartesian coordinates that result from applying the map projection to different geographical data. For displaying data on a two-dimensional canvas, Matplotlib is a powerful tool. Conversion between geographic and projected coordinates can easily be done using PyProj. The gap between these two powerful tools and a polished map lies in potential difficulties when translating spherical line topology to 2D cartesian space, and by introducing typical map decorations such as grids or ticks. FlotteKarte aims to fill this gap with a simple interface. FlotteKarte's philosophy is to work completely within the 2D projected coordinates, that is, very close to the projected data. If projected coordinates of data can be obtained, the data can be drawn directly on the underlying Matplotlib Axes. The Map class can then be used to add typical map decoration to that axes using information that it derives from the numerics of the PROJ projection.
    Keywords: cartography ; python ; EARTH SCIENCE SERVICES 〉 DATA ANALYSIS AND VISUALIZATION 〉 GEOGRAPHIC INFORMATION SYSTEMS 〉 DESKTOP GEOGRAPHIC INFORMATION SYSTEMS ; EARTH SCIENCE SERVICES 〉 DATA ANALYSIS AND VISUALIZATION 〉 STATISTICAL APPLICATIONS ; information 〉 information system 〉 geographic information system ; science 〉 geography 〉 cartography ; technology 〉 information technology 〉 multimedia technology
    Type: Software , Software
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  • 89
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    Processed Sentinel-1 InSAR data of the multi-year gradual flank destabilisation of Anak Krakatau volcano, Indonesia (2022)
    GFZ Data Services
    Details
    Publication Date: 2023-01-24
    Description: Abstract
    Description: The Dec 22nd 2018 flank collapse and tsunami at Anak Krakatau in Indonesia is a key event in geosciences as little is known about the lead-up processes and deformation changes prior to flank failure. We processed Sentinel-1 satellite radar data in both ascending (orbit 171) and descending (orbit 47) acquisition using multi-temporal InSAR with the Small BAseline (SB) method during the 4 years prior to the collapse. The data shows that the flank was already moving for years prior to collapse, demonstrating that developing instability in volcano can be monitored long before a collapse. The southwest flank movement rates averaged approx. 27 cm/yr, but underwent intermittent accelerations coinciding with distinct intrusion events in Jan/Feb 2017 and in Jun 2018. The data archived here supplements the material detailed in Zorn et al. (202X, https://doi.org/XXXXX).
    Description: Methods
    Description: We processed the displacement flank evolution at Anak Krakatau using multi-temporal InSAR technique and exploited the Sentinel-1 data in both ascending (orbit 171) and descending (orbit 47) acquisition orbit in the period between 08th Oct 2014 and 19th Dec 2018. We adopted the Small BAseline (SB) method as implemented in the ENVI SARscape® software, using standard processing methods (Berardino et al., 2002). SB allows for a maximisation of the spatial and temporal coherence, and therefore maximises the displacement measurements over the flank, owing to the combination of interferograms with small normal and temporal baselines. We generate interferograms connecting each image with two previous and two following acquisitions. The original data has been multi-looked resulting in a pixel size of 15 m. We used the 30m resolution Shuttle Radar Topography Mission (SRTM) digital elevation model (DEM) via the Earth Resources Observation And Science (EROS) Center 2017 to remove the topographic component from the interferograms and we filter the results using Goldstein filter (Goldstein and Werner, 1998) with tile sizes of 18×18px. Finally we unwrap the interferograms masking out coherence lower than 0.2 and applying two-dimensional phase unwrapping algorithm Snaphu and we refer to the displacement measurement using a reference point located on the most northern part of the island considered stable (Fig. 2A). The final results are 1D displacement maps in ascending and descending line-of-sight (LOS). Due to a significant increase in eruptive activity of Anak Krakatau beginning towards the end of May 2018, coherence was significantly reduced on the SW-flank and many unwrapped points became unreliable and had to be filtered out. To capitalise on the previously better coverage, we split our analyses into two separate datasets, one (short) for interpreting data before the 29th May 2018, containing more reliable points on the SW-flank, and one (full) dataset with fewer points used to interpret activity after.
    Keywords: InSAR ; Volcano flank instability ; Anak Krakatau ; Collapse Hazard ; Monitoring ; Earth Observation Satellites 〉 Sentinel GMES ; EARTH SCIENCE 〉 SOLID EARTH 〉 GEOMORPHIC LANDFORMS/PROCESSES 〉 TECTONIC LANDFORMS 〉 VOLCANO
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  • 90
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    Felt reports collected by the European-Mediterranean Seismological Centre (EMSC) and aftershocks distribution for a selection of 36 global earthquakes between 2014 and 2020 (2021)
    GFZ Data Services
    Details
    Publication Date: 2023-01-23
    Description: Abstract
    Description: The European-Mediterranean Seismological Centre (EMSC) is a non-profit scientific organization aiming at establishing and operating a rapid earthquake detection system globally and in particular in the European and Mediterranean regions as well as facilitating exchange between seismological institutes. The EMSC has been a pioneer in citizen seismology by collecting in-situ information on the earthquake impact directly from the witnesses. The EMSC has been collecting citizen intensity felt reports at a global scale for many years via two channels: its websites and its “LastQuake” smartphone application. These felt reports are collected through a set of 12 cartoons representing the 12 levels of the European Macroseismic Scale (Grünthal, 1998). They provide rapid information on how the earthquake’s impact is felt by the local population. The EMSC felt reports were shown to be consistent with the USGS Did You Feel It? (Wald et al., 2011) responses and with manually derived macroseismic datasets (Bossu et al., 2017). Such felt reports are provided for a set of 36 earthquakes, each tagged with a unique ID number. They are only considered for intensity values of up to 10, since higher values are unrealistic. Additionally, an interactive map of the aftershocks distribution is provided for each earthquake. These aftershocks are selected from the EMSC catalogue in the 14 days after the event and within 500km of the epicentre location. On each map, the beachball representing the two nodal planes as given by the Global Centroid Moment Tensor catalogue (Dziewonski et al., 1981; Ekstrom et al., 2012) is displayed at the epicentre location. For each event (identified by unique id number), the first line indicates catalogue information on the earthquake (event_id, region, origin_time (UTC), latitude, longitude, depth, magnitude, strike angle from GCMT) Each following line is a felt report gathered by the EMSC including, the longitude, latitude, reported intensity and report time.
    Keywords: felt reports ; rapid loss estimates ; crowd-sourced data ; citizen science ; finite-fault model ; EMSC ; European Mediterranean Seismological Centre ; EARTH SCIENCE 〉 SOLID EARTH 〉 TECTONICS 〉 EARTHQUAKES 〉 EARTHQUAKE MAGNITUDE/INTENSITY
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  • 91
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    Supplementary data of the manuscript entitled Phylogenomics of darkling beetles (Coleoptera: Tenebrionidae) from the Atacama Desert (2023)
    CRC1211 Database (CRC1211DB)
    Details
    Publication Date: 2023-01-23
    Description: TableOfContents
    Description: The file contains the transcriptome dataset used in the study Phylogenomics of darkling beetles (Coleoptera: Tenebrionidae) from the Atacama Desert. Directory including: Supplemental Data S1 (Data_S1). Dataset used for ML and BI analyses comprising 34 peptide precursors from 83 genera of Tenebrionidae (47 tribes, seven subfamilies), including the 30 genera from the Atacama Desert. Files: - Neuropeptide precursors matrix for ML analysis (DataS1_NP_Matrix_for_ML: amino acids in PHYLIP format). - Neuropeptide precursors matrix for BI analysis, including partitions and evolutionary models for each partition from ModelFinder (DataS1_NP_Matrix_for_BI: amino acids in NEXUS format). - Partition schemes of Neuropeptide precursors matrix for ML analysis /DataS1_ML_NP_Partition_schemes). Supplemental Data S2 (Data_S1). Dataset used for ML analysis comprising 1742 orthogroups from 83 genera of Tenebrionidae (47 tribes, seven subfamilies), including the 30 genera from the Atacama Desert. - 1742 orthogroups matrix for ML analysis (DataS2_1742_OG_ML: amino acids in PHYLIP format). - Partition schemes of 1742 orthogroups matrix for ML analysis (DataS2_1742_OG_ML_partitions_scheme)
    Keywords: Biota ; Phylogeny ; Evolution ; Insects ; Biodiversity
    Type: Dataset , Dataset
    Format: ZIP
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  • 92
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    Crowdsourced earthquake felt reports collected via the LastQuake service (2014 - 2021 + examples from 2022) (2023)
    GFZ Data Services
    Details
    Publication Date: 2023-01-23
    Description: Abstract
    Description: The European-Mediterranean Seismological Centre (EMSC) is a non-profit scientific organization aiming at establishing and operating a rapid earthquake detection system globally and in particular in the European and Mediterranean regions as well as facilitating exchange between seismological institutes. The EMSC has been a pioneer in citizen seismology by collecting in-situ information on the earthquake impact directly from the witnesses. The EMSC has been collecting citizen intensity felt reports at a global scale for many years via two channels: its websites and its “LastQuake” smartphone application. These felt reports are collected through a set of 12 cartoons representing the 12 levels of the European Macroseismic Scale (Grünthal, 1998). They provide rapid information on how the earthquake’s impact is felt by the local population. The EMSC felt reports were shown to be consistent with the USGS Did You Feel It? (Wald et al., 2011) responses and with manually derived macroseismic datasets (Bossu et al., 2016). This dataset includes four ".csv" files in total. The file, "felt_reports_2014_2021.csv" and "catalog_2014_2021.csv" contain an exhaustive set of globally collected felt reports between January 2014 and December 2021, and the corresponding earthquake catalog, respectively. The files "felt_reports_2022.csv" and "catalog_2022.csv" contain felt reports for a selection of 11 well reported earthquakes from 2022 and the corresponding earthquake catalog, respectively. This data is the foundation of the work by Lilienkamp et al. (2023).
    Keywords: Citizen Science ; Macroseismic observations ; Rapid Disaster Response ; EARTH SCIENCE SERVICES 〉 HAZARDS MANAGEMENT 〉 DISASTER RESPONSE ; technology 〉 information technology 〉 multimedia technology ; The Present
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  • 93
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    The Austrian hybrid geoid in the ETRS89 system: Austrian Geoid 2008 (GRS80) (2008)
    GFZ Data Services
    Details
    Publication Date: 2023-01-30
    Description: Abstract
    Description: The Austrian Geoid 2008 is the official geoid model for Austria provided by the Austrian Federal Office for Metrology and Surveying (BEV). This model describes the transformation surface (EPSG:9276) between ellipsoidal heights w.r.t. the GRS80 ellipsoid (EPSG:4937) and orthometric heights (EVRF2000 Austrian, EPSG:9274). The grid is defined in ETRS89 (EPSG:4258), covering the area within 46.3° 〈 latitude 〈 49.1° and 9.5° 〈 longitude 〈 17.3°, with a spacing of 1.5' in latitude and 2.5' in longitude. The model is based on 14001 gravity anomaly values, 672 deflections of the vertical and 170 GPS/levelling observations. The computation was performed in the framework of a remove-restore procedure, modelling the long wavelengths of the gravity field by the EIGEN-GL04S global model, and the short wavelengths by the Airy-Heiskanen model with a standard density of 2670 kg/m3. A digital terrain model with a resolution of 44 x 49 m was assembled as a combination of regional Austrian and Swiss models, as well as SRTM for the neighboring countries. The Least Squares Collocation (LSC) technique was used for the geoid computation, interpolating the empirical covariance of the residual quantities by the Tscherning-Rapp analytic covariance model. Special care was devoted to the optimal relative weighting of the input data, namely to the noise covariance models, especially concerning the GPS/levelling observations. The resulting hybrid geoid model was assessed by comparing it with independent GPS/levelling information, leading to an estimated accuracy of the order of 2-3 cm over the whole Austrian territory. The model is also available at the BEV open data portal, and more information about it can be found on the BEV website. The geoid model is provided in ISG format 2.0 (ISG Format Specifications), while the file in its original data format is available at the model ISG webpage.
    Description: Other
    Description: The International Service for the Geoid (ISG) was founded in 1992 (as International Geoid Service - IGeS) and it is now an official service of the International Association of Geodesy (IAG), under the umbrella of the International Gravity Field Service (IGFS). The main activities of ISG consist in collecting, analysing and redistributing local and regional geoid models, as well as organizing international schools on the geoid determination (Reguzzoni et al., 2021).
    Keywords: Geodesy ; Geoid model ; ISG ; Least Squares Collocation ; Austria ; EARTH SCIENCE 〉 SOLID EARTH 〉 GEODETICS 〉 GEOID CHARACTERISTICS ; EARTH SCIENCE 〉 SOLID EARTH 〉 GRAVITY/GRAVITATIONAL FIELD 〉 GRAVITY
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  • 94
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    The Austrian hybrid geoid in the MGI system: Austrian Geoid 2008 (Bessel) (2008)
    GFZ Data Services
    Details
    Publication Date: 2023-01-30
    Description: Abstract
    Description: The Austrian Geoid 2008 is the official geoid model for Austria provided by the Austrian Federal Office for Metrology and Surveying (BEV). This model describes the transformation surface (EPSG:9277) between ellipsoidal heights w.r.t. the Bessel ellipsoid (datum MGI, EPSG:9267) and orthometric heights (EVRF2000 Austrian, EPSG:9274). The grid is defined in MGI (EPSG:4312), covering the area within 46.3° 〈 latitude 〈 49.1° and 9.5° 〈 longitude 〈 17.3°, with a spacing of 1.5' in latitude and 2.5' in longitude. The model is based on 14001 gravity anomaly values, 672 deflections of the vertical and 170 GPS/levelling observations. The computation was performed in the framework of a remove-restore procedure, modelling the long wavelengths of the gravity field by the EIGEN-GL04S global model, and the short wavelengths by the Airy-Heiskanen model with a standard density of 2670 kg/m3. A digital terrain model with a resolution of 44 x 49 m was assembled as a combination of regional Austrian and Swiss models, as well as SRTM for the neighboring countries. The Least Squares Collocation (LSC) technique was used for the geoid computation, interpolating the empirical covariance of the residual quantities by the Tscherning-Rapp analytic covariance model. Special care was devoted to the optimal relative weighting of the input data, namely to the noise covariance models, especially concerning the GPS/levelling observations. The resulting hybrid geoid model was assessed by comparing it with independent GPS/levelling information, leading to an estimated accuracy of the order of 2-3 cm over the whole Austrian territory. The model is also available at the BEV open data portal, and more information about it can be found on the BEV website. The geoid model is provided in ISG format 2.0 (ISG Format Specifications), while the file in its original data format is available at the model ISG webpage.
    Description: Other
    Description: The International Service for the Geoid (ISG) was founded in 1992 (as International Geoid Service - IGeS) and it is now an official service of the International Association of Geodesy (IAG), under the umbrella of the International Gravity Field Service (IGFS). The main activities of ISG consist in collecting, analysing and redistributing local and regional geoid models, as well as organizing international schools on the geoid determination (Reguzzoni et al., 2021).
    Keywords: Geodesy ; Geoid model ; ISG ; Least Squares Collocation ; Austria ; EARTH SCIENCE 〉 SOLID EARTH 〉 GEODETICS 〉 GEOID CHARACTERISTICS ; EARTH SCIENCE 〉 SOLID EARTH 〉 GRAVITY/GRAVITATIONAL FIELD 〉 GRAVITY
    Type: Dataset , Dataset
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  • 95
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    IPOC Seismic Network (2006)
    Integrated Plate boundary Observatory Chile - IPOC
    Details
    Publication Date: 2023-02-08
    Description: Abstract
    Description: The IPOC seismic network is part of the Integrated Plate boundary Observatory Chile (IPOC), a European-Chilean network of institutions and scientists organizing and operating a distributed system of instruments and projects dedicated to the study of earthquakes and deformation at the continental margin of Chile. In particular, the seismic network is jointly operated by the GFZ German Research Centre for Geosciences, Potsdam, Germany; the Institut de Physique du Globe Paris, France (IPGP); the Chilean National Seismological Centre (CSN); the Universidad de Chile, Santiago, Chile (UdC); and the Universidad Católica del Norte, Antofagasta, Chile (UCNA). The subduction plate boundary between the South American and the oceanic Nazca plates exhibits some of the largest earthquakes on Earth. The IPOC goal is to improve the understanding of both the physical mechanisms underlying these processes and the natural hazards induced by them. The observatory is designed to monitor the plate boundary system from the Peru-Chile border to south of the city of Antofagasta, from the coast to the high Andes, capturing both great and small earthquakes in this region. A key component of IPOC is its multi-parameter observatories, where at each site a suite of different physical parameters are measured continuously. So far about 20 such multi-parameter stations are installed. All of these sites are equipped with STS-2 broadband seismometers and accelerometers. Additional instrumentation at some of the stations includes continuous GPS, electric and magnetic field (MT), surface inclination, and climate (temperature, air pressure, humidity). Most sites transmit their data in near-real time using a suite of communication channels (VSAT, WiFi, telemetry etc.). Seismic instruments are deployed on concrete pedestals in bedrock caverns (a few meters deep) to measure ground shaking from earthquakes or other sources that last from a tiny fraction of a second to several hours. Strong-motion sensors are deployed next to the broadband sensors to increase the dynamic range and for earthquake engineering applications. Broadband data are freely distributed in real-time and archive data is also available. This DOI encompasses all IPOC seismic data; data is available under FDSN network code CX.
    Keywords: Seismic waveforms ; Broadband seismic waveforms ; Seismic monitoring ; Plate boundary observatory ; Monitoring system ; Seismological stations ; In Situ/Laboratory Instruments 〉 Magnetic/Motion Sensors 〉 Seismometers ; In Situ Land-based Platforms 〉 GEOPHYSICAL STATIONS/NETWORKS
    Type: Dataset , Seismic Network
    Format: Approximately 20 active stations; greater than 120 MB/day.
    Format: .mseed
    Format: XML
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  • 96
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    The Finnish National Seismic Network (1980)
    GFZ Data Services
    Details
    Publication Date: 2023-02-08
    Description: Abstract
    Description: The Institute of Seismology, University of Helsinki (ISUH) was founded in 1961 as a response to the growing public concern for environmental hazards caused by nuclear weapon testing. Since then ISUH has been responsible for seismic monitoring in Finland. The current mandate covers government regulator duties in seismic hazard mitigation and nuclear test ban treaty verification, observatory activities and operation of the Finnish National Seismic Network (FNSN) as well as research and teaching of seismology at the University of Helsinki.The first seismograph station of Finland was installed at the premises of the Department of Physics, University of Helsinki in 1924. However, the mechanical Mainka seismographs had low magnification and thus the recordings were of little practical value for the study of local seismicity. The first short-period seismographs were set up between 1956 and 1963. The next significant upgrade of FNSN occurred during the late 1970’s when digital tripartite arrays in southern and central Finland became fully operational, allowing for systematic use of instrumental detection, location and magnitude determination methods. By the end of the 1990’s, the entire network was operating using digital telemetric or dial-up methods. The FNSN has expanded significantly during the 21st Century. It comprises now 36 permanent stations. Most of the stations have Streckeisen STS-2, Nanometrics Trillium (Compact/P/PA/QA) or Guralp CMG-3T broad band sensors. Some Teledyne-Geotech S13/GS13 short period sensors are also in use. Data acquisition systems are a combination of Earth Data PS6-24 digitizers and PC with Seiscomp/Seedlink software or Nanometrics Centaurs. The stations are connected to the ISUH with Seedlink via Internet and provide continuous waveform data at 40 Hz (array) or 100-250 Hz sampling frequency. Further information about instrumentation can be found at the Institute’s web site (www.seismo.helsinki.fi). Waveform data are available from the GEOFON data centre, under network code HE, and arefully open.
    Keywords: geophysics ; seismology ; seismic noise ; earthquakes ; induced ; seismic hazard ; broad band ; velocity ; acceleration ; displacement ; Monitoring system ; Seismological stations ; In Situ/Laboratory Instruments 〉 Magnetic/Motion Sensors 〉 Seismometers ; In Situ Land-based Platforms 〉 GEOPHYSICAL STATIONS/NETWORKS
    Type: Dataset , Seismic Network
    Format: ~300G
    Format: .mseed
    Format: XML
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  • 97
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    Seismological Characterization of the Geothermal Field Laboratory Rhineland (2022)
    GFZ Data Services
    Details
    Publication Date: 2023-02-08
    Description: Abstract
    Description: – A temporary seismic network consisting of 48 long-term and 15 short-term stations was deployed from June 2021 to June 2022. The network comprises 27 broadband stations and 20 short period geophones from the Ruhr-University Bochum, the Geophysical Instrument Pool Potsdam (GIPP) and the RWTH Aachen. The inter-station spacing of the longer-term network is about 2 km and the total extent of the network is about 20 km. The densely populated area and vicinity of active pit mining demanded a balance between dense station placement and avoidance of anthropogenic noise sources. The network serves as a pre-study for the installment of a field laboratory in Eschweiler-Weisweiler, Germany. Details can be found in the accompanying data publication (Finger et al., in preparation). This project has been subsidized through the Cofund GEOTHERMICA, which is supported by the European Union’s HORIZON 2020 programme for research, technological development and demonstration under grant agreement No 731117. Furthermore, this study was supported by the Interreg North-West Europe (Interreg NWE) Programme through the Roll-out of Deep Geothermal Energy in North-West Europe (DGE-ROLLOUT) Project (http://www.nweurope.eu/DGE-Rollout), NWE 892. The Interreg NWE Programme is part of the European Cohesion Policy and is financed by the European Regional Development Fund (ERDF). Waveform data are available from the GEOFON data centre, under network code ZB. Data from some stations are embargoed until Januar 2026 but might be available on request.
    Keywords: Broadband seismic waveforms ; Seismic monitoring ; temporary local seismic network ; passive seismology ; In Situ/Laboratory Instruments 〉 Magnetic/Motion Sensors 〉 Seismometers ; In Situ Land-based Platforms 〉 GEOPHYSICAL STATIONS/NETWORKS
    Type: Dataset , Seismic Network
    Format: ~1T
    Format: .mseed
    Format: XML
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    DATA GFZ
  • 98
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    The Iquique Local Network and PicArray (2009)
    GFZ Data Services
    Details
    Publication Date: 2023-02-08
    Description: Abstract
    Description: The Iquique Local Network (ILN), a temporal network of broadband and short period seismic stations has been operating in Northern Chile since 2009. The aim of this installation was to locally densify the permanent seismic installation of the Integrated Plate Boundary Observatory in Chile (IPOC), with the main goal to decrease the magnitude of detected earthquake, to improve the hypocentral location accuracy, to allow a more accurate investigation of seismic source parameters, and to analyse proposed seismogenic structures of the Northern Chile seismic gap. The network setup evolved with time, with different geometries at different installation phases, aiming to study different seismicity features. In the first phase, started in 2009 and operational since 2010 until autumn 2013, the network had a sparse configuration, targeting a broad region extending from 19.5° S in the North to approximately 21.3° S South of Iquique. In the following stage, operational until fall 2017, most broadband stations were rearranged into a small aperture seismic array (PicArray) close to the village of Pica, to monitor with array techniques the shallow seismicity at the plate interfacer, intermediate and deep focus seismicity. Waveform data are available from the GEOFON data centre, under network code IQ, and arefully open.
    Keywords: geophysics ; seismology ; seismic noise ; earthquakes ; seismic hazard ; broad band ; velocity ; displacement ; Monitoring system ; Seismological stations ; In Situ/Laboratory Instruments 〉 Magnetic/Motion Sensors 〉 Seismometers ; In Situ Land-based Platforms 〉 GEOPHYSICAL STATIONS/NETWORKS
    Type: Dataset , Seismic Network
    Format: ~1T
    Format: .mseed
    Format: XML
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    DATA GFZ
  • 99
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    FoMapS: Seismic investigation of the Fogo magmatic plumbing system, Cape Verde, using multi-array techniques (2020)
    GFZ Data Services
    Details
    Publication Date: 2023-02-08
    Description: Abstract
    Description: Volcanic eruptions are regularly observed on the island of Fogo, Cape Verde, with an average re-occurrence interval of ca. 20 years. However, the structure and extent of the related volcanic plumbing system are not well understood. Previous studies have investigated earthquakes related to magmatic processes connected with the Fogo volcano using conventional network configurations. Seismicity has been reported to occur mainly southwest of the island of Brava while a more recent study reports on activity focussed between Brava and Fogo. Multi-array seismology has the potential to significantly reduce the localization errors of seismic events in particular for those outside a station network and to lower the detection threshold. The subject of this study is the investigation of the local volcano-related seismicity applying multi-array methods which is a unique task amongst the research activities at German universities. The scientific aims are (a) to precisely map local events to constrain the structure of and the dynamic processes within the volcanic plumbing system, (b) to image the magma source region below the Fogo volcano using reflected and backscattered waves, and (c) to localize low-frequency volcanic tremor events. Waveform data are available from the GEOFON data centre, under network code 9J, and are embargoed until February 2022.
    Keywords: Broadband seismic waveforms ; Seismic monitoring ; temporary local seismic network ; Monitoring system ; Seismological stations ; In Situ/Laboratory Instruments 〉 Magnetic/Motion Sensors 〉 Seismometers ; In Situ Land-based Platforms 〉 GEOPHYSICAL STATIONS/NETWORKS
    Type: Dataset , Seismic Network
    Format: ~1T
    Format: .mseed
    Format: XML
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    DATA GFZ
  • 100
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    Sample and Modelling Data for Cosmogenic 10Be in Medial Moraine Debris of Glacier d’Otemma, Switzerland (2022)
    GFZ Data Services
    Details
    Publication Date: 2023-02-08
    Description: Abstract
    Description: This data publication is supplementary to the study on headwall erosion rates at Glacier d'Otemma in Switzerland, by Wetterauer et al. (2022). Debris on glacier surfaces stems from steep bedrock hillslopes that tower above the ice, so-called headwalls. Recently, rock walls in high-alpine glacial environments experience increased destabilization due to climate warming. Since supraglacial debris alters the melt behaviour of the ice underneath, increased headwall erosion and debris delivery to glacier surfaces will modify glacial mass balances. Therefore, we expect that the response of glaciers to climate change is likely linked to how headwall erosion responds to climate change. As headwall debris is deposited on the ice surface of valley glaciers it is passively transported downglacier, both supra- and englacially. Where two glaciers join, debris along their margins is merged to form medial moraines. Since medial moraine debris tends to be older downglacier, systematic downglacier-sampling of medial moraine debris and the measurement of in situ-produced cosmogenic 10Be concentrations ([10Be]) hold the potential to assess long-term (〉10^2-10^4 yrs) headwall erosion rates through time. However, to obtain the cosmogenic signals of headwall erosion, [10Be] within supraglacial debris need to be corrected for glacial transport time, as cosmogenic nuclides continue to accumulate during exposure and transport. This additional 10Be accumulation during debris transport can be accounted for by simple downglacier debris trajectory modelling. Providing our 10Be dataset together with detailed information on our 1-D modelling approach is the main objective of this data publication. The data is presented as one single xlsx-file with three different tables. A detailed description of the sample processing and the debris trajectory model are provided in the data description file of this data publication. For more information see our study Wetterauer et al. (2022).
    Description: Other
    Description: The data were collected as part of the project “COLD”, which investigates the Climate Sensitivity of Glacial Landscape Dynamics with a focus on the European Alps. This research receives funding from the European Research Council (ERC) under the European Union's Horizon 2020 research and innovation program under grant agreement 759639.
    Keywords: Alpine glaciers ; medial moraines ; cosmogenic 10Be ; grain size ; headwall erosion rates ; supraglacial debris ; EARTH SCIENCE 〉 LAND SURFACE 〉 EROSION/SEDIMENTATION 〉 EROSION ; EARTH SCIENCE 〉 SOLID EARTH 〉 GEOCHEMISTRY 〉 GEOCHEMICAL PROPERTIES 〉 CHEMICAL CONCENTRATIONS ; EARTH SCIENCE 〉 SOLID EARTH 〉 GEOCHEMISTRY 〉 GEOCHEMICAL PROPERTIES 〉 ISOTOPES ; EARTH SCIENCE 〉 SOLID EARTH 〉 GEOMORPHIC LANDFORMS/PROCESSES 〉 GLACIAL LANDFORMS 〉 MORAINES 〉 MEDIAL MORAINE
    Type: Dataset , Dataset
    Location Call Number Expected Availability
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    DATA GFZ
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