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  • Data  (56,179)
  • 2005-2009  (56,179)
  • 2007  (56,179)
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  • 2005-2009  (56,179)
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  • 1
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    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
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  • 2
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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
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  • 3
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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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  • 4
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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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  • 5
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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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  • 6
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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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  • 7
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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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  • 8
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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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  • 9
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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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  • 10
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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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  • 11
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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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  • 12
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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
    Format: tar of png
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  • 13
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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
    Format: GRIB1; records separated
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  • 14
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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
    Format: GRIB1; records separated
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  • 15
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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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  • 16
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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
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  • 17
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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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  • 18
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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
    Format: NetCDF
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  • 19
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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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  • 20
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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
    Format: GRIB1; records separated
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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
    Format: GRIB1; records separated
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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
    Format: GRIB1; records separated
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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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    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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    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
    Format: GRIB1; records separated
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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
    Format: XML
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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)
    Format: tar file, zipped
    Format: XML
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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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    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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    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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    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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  • 32
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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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    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)
    Format: XML
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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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    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
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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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    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)
    Format: XML
    Format: GRIB1; records separated
    Location Call Number Expected Availability
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    DATA DKRZ
  • 38
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    Unknown
    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
    Format: GRIB1; records separated
    Format: tar of png
    Location Call Number Expected Availability
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    DATA DKRZ
  • 39
    facet.materialart.
    Unknown
    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
    Format: XML
    Format: GRIB1; records separated
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    DATA DKRZ
  • 40
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    Unknown
    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)
    Format: XML
    Format: NetCDF
    Location Call Number Expected Availability
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    DATA DKRZ
  • 41
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    Lithospheric Dynamics in the Southernmost Andean Plateau (PUDEL) (2007)
    Deutsches GeoForschungsZentrum GFZ
    Details
    Publication Date: 2024-02-23
    Description: Abstract
    Description: The seismic array is part of a collaborative international passive-source seismic experiment in the southern Puna (25°S to 28°S) that aims to address fundamental questions on the processes that form, modify and destroy continental lithosphere and control lithospheric dynamics along Andean-type continental margins. The southern Puna is anomalous with respect to the rest of the Andean plateau in having a distinct magmatic and structural history, a large deficit in crustal shortening compared to its elevation and an underlying slab with a transitional dip between a steeper segment to the north and the Chilean flat-slab to the south. With the international project we proposed to test the hypothesis of the lithospheric delamination beneath the southern Puna. The total network consists of 75 seismic stations and has been operated in Argentina and chile for 2 years. The GFZ has contributed 30 stations with EarthData logger (EDL). Sensors include broadband Güralp 3ESP (60 s) and 3T (100 s) and short-period Mark L4 (1 s). Continuous data are freely available on the GEOFON. The US data can be requested from the IRIS.
    Keywords: Seismic waveforms ; Monitoring system ; In Situ/Laboratory Instruments 〉 Magnetic/Motion Sensors 〉 Seismometers ; In Situ Land-based Platforms 〉 GEOPHYSICAL STATIONS/NETWORKS
    Type: Dataset , Seismic Network
    Format: Approximately 490 GB
    Format: .mseed
    Format: XML
    Location Call Number Expected Availability
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    DATA GFZ
  • 42
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    Chlorophyll and phaeopigments in surface sediment profile PE225-01 (2007)
    PANGAEA
    In:  Jacobs University Bremen gGmbH
    Details
    Publication Date: 2023-03-13
    Keywords: Chlorophyll a; Chlorophyll a, standard deviation; Chlorophyll pigment equivalents; Chloroplastic pigment equivalents, standard deviation; Depth, bottom/max; DEPTH, sediment/rock; Depth, top/min; European Margin Strata Formation; EuroSTRATAFORM; HERMES; Hotspot Ecosystem Research on the Margins of European Seas; MUC; MultiCorer; PE204 PE218 PE225 PE236; PE225-01; PE2xx; Phaeopigments; Phaeopigments, standard deviation; Replicates; Setubal Canyon
    Type: Dataset
    Format: text/tab-separated-values, 90 data points
    Location Call Number Expected Availability
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    DATA PANGAEA
  • 43
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    Chlorophyll and phaeopigments in surface sediment profile PE225-02 (2007)
    PANGAEA
    In:  Jacobs University Bremen gGmbH
    Details
    Publication Date: 2023-03-13
    Keywords: Chlorophyll a; Chlorophyll a, standard deviation; Chlorophyll pigment equivalents; Chloroplastic pigment equivalents, standard deviation; Depth, bottom/max; DEPTH, sediment/rock; Depth, top/min; European Margin Strata Formation; EuroSTRATAFORM; HERMES; Hotspot Ecosystem Research on the Margins of European Seas; MUC; MultiCorer; PE204 PE218 PE225 PE236; PE225-02; PE2xx; Phaeopigments; Phaeopigments, standard deviation; Replicates; Setubal Canyon
    Type: Dataset
    Format: text/tab-separated-values, 90 data points
    Location Call Number Expected Availability
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    DATA PANGAEA
  • 44
    facet.materialart.
    Unknown
    Chlorophyll and phaeopigments in surface sediment profile PE225-03 (2007)
    PANGAEA
    In:  Jacobs University Bremen gGmbH
    Details
    Publication Date: 2023-03-13
    Keywords: Chlorophyll a; Chlorophyll a, standard deviation; Chlorophyll pigment equivalents; Chloroplastic pigment equivalents, standard deviation; Depth, bottom/max; DEPTH, sediment/rock; Depth, top/min; European Margin Strata Formation; EuroSTRATAFORM; HERMES; Hotspot Ecosystem Research on the Margins of European Seas; MUC; MultiCorer; PE204 PE218 PE225 PE236; PE225-03; PE2xx; Phaeopigments; Phaeopigments, standard deviation; Replicates; Setubal Canyon
    Type: Dataset
    Format: text/tab-separated-values, 90 data points
    Location Call Number Expected Availability
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    DATA PANGAEA
  • 45
    facet.materialart.
    Unknown
    Chlorophyll and phaeopigments in surface sediment profile PE225-05 (2007)
    PANGAEA
    In:  Jacobs University Bremen gGmbH
    Details
    Publication Date: 2023-03-13
    Keywords: Chlorophyll a; Chlorophyll a, standard deviation; Chlorophyll pigment equivalents; Chloroplastic pigment equivalents, standard deviation; Depth, bottom/max; DEPTH, sediment/rock; Depth, top/min; European Margin Strata Formation; EuroSTRATAFORM; HERMES; Hotspot Ecosystem Research on the Margins of European Seas; MUC; MultiCorer; PE204 PE218 PE225 PE236; PE225-05; PE2xx; Phaeopigments; Phaeopigments, standard deviation; Replicates; Setubal Canyon
    Type: Dataset
    Format: text/tab-separated-values, 90 data points
    Location Call Number Expected Availability
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    DATA PANGAEA
  • 46
    facet.materialart.
    Unknown
    Chlorophyll and phaeopigments in surface sediment profile PE225-06 (2007)
    PANGAEA
    In:  Jacobs University Bremen gGmbH
    Details
    Publication Date: 2023-03-13
    Keywords: Chlorophyll a; Chlorophyll pigment equivalents; Depth, bottom/max; DEPTH, sediment/rock; Depth, top/min; European Margin Strata Formation; EuroSTRATAFORM; HERMES; Hotspot Ecosystem Research on the Margins of European Seas; MUC; MultiCorer; PE204 PE218 PE225 PE236; PE225-06; PE2xx; Phaeopigments; Replicates; Setubal Canyon
    Type: Dataset
    Format: text/tab-separated-values, 60 data points
    Location Call Number Expected Availability
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    DATA PANGAEA
  • 47
    facet.materialart.
    Unknown
    Chlorophyll and phaeopigments in surface sediment profile PE225-07 (2007)
    PANGAEA
    In:  Jacobs University Bremen gGmbH
    Details
    Publication Date: 2023-03-13
    Keywords: Chlorophyll a; Chlorophyll pigment equivalents; Depth, bottom/max; DEPTH, sediment/rock; Depth, top/min; European Margin Strata Formation; EuroSTRATAFORM; HERMES; Hotspot Ecosystem Research on the Margins of European Seas; MUC; MultiCorer; PE204 PE218 PE225 PE236; PE225-07; PE2xx; Phaeopigments; Replicates; Setubal Canyon
    Type: Dataset
    Format: text/tab-separated-values, 60 data points
    Location Call Number Expected Availability
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    DATA PANGAEA
  • 48
    facet.materialart.
    Unknown
    Chlorophyll and phaeopigments in surface sediment profile PE225-20 (2007)
    PANGAEA
    In:  Jacobs University Bremen gGmbH
    Details
    Publication Date: 2023-03-13
    Keywords: Chlorophyll a; Chlorophyll a, standard deviation; Chlorophyll pigment equivalents; Chloroplastic pigment equivalents, standard deviation; Depth, bottom/max; DEPTH, sediment/rock; Depth, top/min; European Margin Strata Formation; EuroSTRATAFORM; HERMES; Hotspot Ecosystem Research on the Margins of European Seas; MUC; MultiCorer; Nazare Canyon; PE204 PE218 PE225 PE236; PE225-20; PE2xx; Phaeopigments; Phaeopigments, standard deviation; Replicates
    Type: Dataset
    Format: text/tab-separated-values, 90 data points
    Location Call Number Expected Availability
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    DATA PANGAEA
  • 49
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    Chlorophyll and phaeopigments in surface sediment profile PE225-21 (2007)
    PANGAEA
    In:  Jacobs University Bremen gGmbH
    Details
    Publication Date: 2023-03-13
    Keywords: Chlorophyll a; Chlorophyll a, standard deviation; Chlorophyll pigment equivalents; Chloroplastic pigment equivalents, standard deviation; Depth, bottom/max; DEPTH, sediment/rock; Depth, top/min; European Margin Strata Formation; EuroSTRATAFORM; HERMES; Hotspot Ecosystem Research on the Margins of European Seas; MUC; MultiCorer; PE204 PE218 PE225 PE236; PE225-21; PE2xx; Phaeopigments; Phaeopigments, standard deviation; Replicates; Setubal Canyon
    Type: Dataset
    Format: text/tab-separated-values, 90 data points
    Location Call Number Expected Availability
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    DATA PANGAEA
  • 50
    facet.materialart.
    Unknown
    Chlorophyll and phaeopigments in surface sediment profile PE225-22 (2007)
    PANGAEA
    In:  Jacobs University Bremen gGmbH
    Details
    Publication Date: 2023-03-13
    Keywords: Chlorophyll a; Chlorophyll a, standard deviation; Chlorophyll pigment equivalents; Chloroplastic pigment equivalents, standard deviation; Depth, bottom/max; DEPTH, sediment/rock; Depth, top/min; European Margin Strata Formation; EuroSTRATAFORM; HERMES; Hotspot Ecosystem Research on the Margins of European Seas; MUC; MultiCorer; Nazare Canyon; PE204 PE218 PE225 PE236; PE225-22; PE2xx; Phaeopigments; Phaeopigments, standard deviation; Replicates
    Type: Dataset
    Format: text/tab-separated-values, 90 data points
    Location Call Number Expected Availability
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    DATA PANGAEA
  • 51
    facet.materialart.
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    Chlorophyll and phaeopigments in surface sediment profile PE225-24 (2007)
    PANGAEA
    In:  Jacobs University Bremen gGmbH
    Details
    Publication Date: 2023-03-13
    Keywords: Chlorophyll a; Chlorophyll pigment equivalents; Depth, bottom/max; DEPTH, sediment/rock; Depth, top/min; European Margin Strata Formation; EuroSTRATAFORM; HERMES; Hotspot Ecosystem Research on the Margins of European Seas; MUC; MultiCorer; Nazare Canyon; PE204 PE218 PE225 PE236; PE225-24; PE2xx; Phaeopigments; Replicates
    Type: Dataset
    Format: text/tab-separated-values, 60 data points
    Location Call Number Expected Availability
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    DATA PANGAEA
  • 52
    facet.materialart.
    Unknown
    Chlorophyll and phaeopigments in surface sediment profile PE225-25 (2007)
    PANGAEA
    In:  Jacobs University Bremen gGmbH
    Details
    Publication Date: 2023-03-13
    Keywords: Chlorophyll a; Chlorophyll a, standard deviation; Chlorophyll pigment equivalents; Chloroplastic pigment equivalents, standard deviation; Depth, bottom/max; DEPTH, sediment/rock; Depth, top/min; European Margin Strata Formation; EuroSTRATAFORM; HERMES; Hotspot Ecosystem Research on the Margins of European Seas; MUC; MultiCorer; Nazare Canyon; PE204 PE218 PE225 PE236; PE225-25; PE2xx; Phaeopigments; Phaeopigments, standard deviation; Replicates
    Type: Dataset
    Format: text/tab-separated-values, 90 data points
    Location Call Number Expected Availability
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    DATA PANGAEA
  • 53
    facet.materialart.
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    Chlorophyll and phaeopigments in surface sediment profile PE225-26 (2007)
    PANGAEA
    In:  Jacobs University Bremen gGmbH
    Details
    Publication Date: 2023-03-13
    Keywords: Chlorophyll a; Chlorophyll a, standard deviation; Chlorophyll pigment equivalents; Chloroplastic pigment equivalents, standard deviation; Depth, bottom/max; DEPTH, sediment/rock; Depth, top/min; European Margin Strata Formation; EuroSTRATAFORM; HERMES; Hotspot Ecosystem Research on the Margins of European Seas; MUC; MultiCorer; Nazare Canyon; PE204 PE218 PE225 PE236; PE225-26; PE2xx; Phaeopigments; Phaeopigments, standard deviation; Replicates
    Type: Dataset
    Format: text/tab-separated-values, 90 data points
    Location Call Number Expected Availability
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    DATA PANGAEA
  • 54
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    Chlorophyll and phaeopigments in surface sediment profile PE225-27 (2007)
    PANGAEA
    In:  Jacobs University Bremen gGmbH
    Details
    Publication Date: 2023-03-13
    Keywords: Chlorophyll a; Chlorophyll a, standard deviation; Chlorophyll pigment equivalents; Chloroplastic pigment equivalents, standard deviation; Depth, bottom/max; DEPTH, sediment/rock; Depth, top/min; European Margin Strata Formation; EuroSTRATAFORM; HERMES; Hotspot Ecosystem Research on the Margins of European Seas; MUC; MultiCorer; Nazare Canyon; PE204 PE218 PE225 PE236; PE225-27; PE2xx; Phaeopigments; Phaeopigments, standard deviation; Replicates
    Type: Dataset
    Format: text/tab-separated-values, 90 data points
    Location Call Number Expected Availability
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    DATA PANGAEA
  • 55
    facet.materialart.
    Unknown
    Chlorophyll and phaeopigments in surface sediment profile PE225-34 (2007)
    PANGAEA
    In:  Jacobs University Bremen gGmbH
    Details
    Publication Date: 2023-03-13
    Keywords: Chlorophyll a; Chlorophyll pigment equivalents; Depth, bottom/max; DEPTH, sediment/rock; Depth, top/min; European Margin Strata Formation; EuroSTRATAFORM; HERMES; Hotspot Ecosystem Research on the Margins of European Seas; MUC; MultiCorer; Nazare Canyon; PE204 PE218 PE225 PE236; PE225-34; PE2xx; Phaeopigments; Replicates
    Type: Dataset
    Format: text/tab-separated-values, 60 data points
    Location Call Number Expected Availability
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    DATA PANGAEA
  • 56
    facet.materialart.
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    Chlorophyll and phaeopigments in surface sediment profile PE225-39 (2007)
    PANGAEA
    In:  Jacobs University Bremen gGmbH
    Details
    Publication Date: 2023-03-13
    Keywords: Chlorophyll a; Chlorophyll a, standard deviation; Chlorophyll pigment equivalents; Chloroplastic pigment equivalents, standard deviation; Depth, bottom/max; DEPTH, sediment/rock; Depth, top/min; European Margin Strata Formation; EuroSTRATAFORM; HERMES; Hotspot Ecosystem Research on the Margins of European Seas; MUC; MultiCorer; Nazare Canyon; PE204 PE218 PE225 PE236; PE225-39; PE2xx; Phaeopigments; Phaeopigments, standard deviation; Replicates
    Type: Dataset
    Format: text/tab-separated-values, 90 data points
    Location Call Number Expected Availability
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    DATA PANGAEA
  • 57
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    Chlorophyll and phaeopigments in surface sediment profile PE225-41 (2007)
    PANGAEA
    In:  Jacobs University Bremen gGmbH
    Details
    Publication Date: 2023-03-13
    Keywords: Chlorophyll a; Chlorophyll a, standard deviation; Chlorophyll pigment equivalents; Chloroplastic pigment equivalents, standard deviation; Depth, bottom/max; DEPTH, sediment/rock; Depth, top/min; European Margin Strata Formation; EuroSTRATAFORM; HERMES; Hotspot Ecosystem Research on the Margins of European Seas; MUC; MultiCorer; Nazare Canyon; PE204 PE218 PE225 PE236; PE225-41; PE2xx; Phaeopigments; Phaeopigments, standard deviation; Replicates
    Type: Dataset
    Format: text/tab-separated-values, 90 data points
    Location Call Number Expected Availability
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    DATA PANGAEA
  • 58
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    Chlorophyll and phaeopigments in surface sediment profile PE225-52 (2007)
    PANGAEA
    In:  Jacobs University Bremen gGmbH
    Details
    Publication Date: 2023-03-13
    Keywords: Chlorophyll a; Chlorophyll a, standard deviation; Chlorophyll pigment equivalents; Chloroplastic pigment equivalents, standard deviation; Depth, bottom/max; DEPTH, sediment/rock; Depth, top/min; European Margin Strata Formation; EuroSTRATAFORM; HERMES; Hotspot Ecosystem Research on the Margins of European Seas; MUC; MultiCorer; PE204 PE218 PE225 PE236; PE225-52; PE2xx; Phaeopigments; Phaeopigments, standard deviation; Replicates; Setubal Canyon
    Type: Dataset
    Format: text/tab-separated-values, 63 data points
    Location Call Number Expected Availability
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    DATA PANGAEA
  • 59
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    Chlorophyll and phaeopigments in surface sediment profile PE236-07 (2007)
    PANGAEA
    In:  Jacobs University Bremen gGmbH
    Details
    Publication Date: 2023-03-13
    Keywords: Chlorophyll a; Chlorophyll a, standard deviation; Chlorophyll pigment equivalents; Chloroplastic pigment equivalents, standard deviation; Depth, bottom/max; DEPTH, sediment/rock; Depth, top/min; European Margin Strata Formation; EuroSTRATAFORM; HERMES; Hotspot Ecosystem Research on the Margins of European Seas; MUC; MultiCorer; Nazare Canyon; PE204 PE218 PE225 PE236; PE236-07; PE2xx; Phaeopigments; Phaeopigments, standard deviation; Replicates
    Type: Dataset
    Format: text/tab-separated-values, 90 data points
    Location Call Number Expected Availability
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    DATA PANGAEA
  • 60
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    Chlorophyll and phaeopigments in surface sediment profile PE236-14 (2007)
    PANGAEA
    In:  Jacobs University Bremen gGmbH
    Details
    Publication Date: 2023-03-13
    Keywords: Chlorophyll a; Chlorophyll a, standard deviation; Chlorophyll pigment equivalents; Chloroplastic pigment equivalents, standard deviation; Depth, bottom/max; DEPTH, sediment/rock; Depth, top/min; European Margin Strata Formation; EuroSTRATAFORM; HERMES; Hotspot Ecosystem Research on the Margins of European Seas; MUC; MultiCorer; Nazare Canyon; PE204 PE218 PE225 PE236; PE236-14; PE2xx; Phaeopigments; Phaeopigments, standard deviation; Replicates
    Type: Dataset
    Format: text/tab-separated-values, 90 data points
    Location Call Number Expected Availability
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    DATA PANGAEA
  • 61
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    Chlorophyll and phaeopigments in surface sediment profile PE236-15 (2007)
    PANGAEA
    In:  Jacobs University Bremen gGmbH
    Details
    Publication Date: 2023-03-13
    Keywords: Chlorophyll a; Chlorophyll a, standard deviation; Chlorophyll pigment equivalents; Chloroplastic pigment equivalents, standard deviation; Depth, bottom/max; DEPTH, sediment/rock; Depth, top/min; European Margin Strata Formation; EuroSTRATAFORM; HERMES; Hotspot Ecosystem Research on the Margins of European Seas; MUC; MultiCorer; Nazare Canyon; PE204 PE218 PE225 PE236; PE236-15; PE2xx; Phaeopigments; Phaeopigments, standard deviation; Replicates
    Type: Dataset
    Format: text/tab-separated-values, 90 data points
    Location Call Number Expected Availability
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    DATA PANGAEA
  • 62
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    Chlorophyll and phaeopigments in surface sediment profile PE236-20 (2007)
    PANGAEA
    In:  Jacobs University Bremen gGmbH
    Details
    Publication Date: 2023-03-13
    Keywords: Chlorophyll a; Chlorophyll a, standard deviation; Chlorophyll pigment equivalents; Chloroplastic pigment equivalents, standard deviation; Depth, bottom/max; DEPTH, sediment/rock; Depth, top/min; European Margin Strata Formation; EuroSTRATAFORM; HERMES; Hotspot Ecosystem Research on the Margins of European Seas; MUC; MultiCorer; Nazare Canyon; PE204 PE218 PE225 PE236; PE236-20; PE2xx; Phaeopigments; Phaeopigments, standard deviation; Replicates
    Type: Dataset
    Format: text/tab-separated-values, 90 data points
    Location Call Number Expected Availability
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    DATA PANGAEA
  • 63
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    Chlorophyll and phaeopigments in surface sediment profile PE225-54 (2007)
    PANGAEA
    In:  Jacobs University Bremen gGmbH
    Details
    Publication Date: 2023-03-13
    Keywords: Chlorophyll a; Chlorophyll a, standard deviation; Chlorophyll pigment equivalents; Chloroplastic pigment equivalents, standard deviation; Depth, bottom/max; DEPTH, sediment/rock; Depth, top/min; European Margin Strata Formation; EuroSTRATAFORM; HERMES; Hotspot Ecosystem Research on the Margins of European Seas; MUC; MultiCorer; PE204 PE218 PE225 PE236; PE225-54; PE2xx; Phaeopigments; Phaeopigments, standard deviation; Replicates; Setubal Canyon
    Type: Dataset
    Format: text/tab-separated-values, 90 data points
    Location Call Number Expected Availability
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    DATA PANGAEA
  • 64
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    Chlorophyll and phaeopigments in surface sediment profile PE236-21 (2007)
    PANGAEA
    In:  Jacobs University Bremen gGmbH
    Details
    Publication Date: 2023-03-13
    Keywords: Chlorophyll a; Chlorophyll a, standard deviation; Chlorophyll pigment equivalents; Chloroplastic pigment equivalents, standard deviation; Depth, bottom/max; DEPTH, sediment/rock; Depth, top/min; European Margin Strata Formation; EuroSTRATAFORM; HERMES; Hotspot Ecosystem Research on the Margins of European Seas; MUC; MultiCorer; Nazare Canyon; PE204 PE218 PE225 PE236; PE236-21; PE2xx; Phaeopigments; Phaeopigments, standard deviation; Replicates
    Type: Dataset
    Format: text/tab-separated-values, 72 data points
    Location Call Number Expected Availability
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    DATA PANGAEA
  • 65
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    Chlorophyll and phaeopigments in surface sediment profile PE236-23 (2007)
    PANGAEA
    In:  Jacobs University Bremen gGmbH
    Details
    Publication Date: 2023-03-13
    Keywords: Chlorophyll a; Chlorophyll a, standard deviation; Chlorophyll pigment equivalents; Chloroplastic pigment equivalents, standard deviation; Depth, bottom/max; DEPTH, sediment/rock; Depth, top/min; European Margin Strata Formation; EuroSTRATAFORM; HERMES; Hotspot Ecosystem Research on the Margins of European Seas; MUC; MultiCorer; Nazare Canyon; PE204 PE218 PE225 PE236; PE236-23; PE2xx; Phaeopigments; Phaeopigments, standard deviation; Replicates
    Type: Dataset
    Format: text/tab-separated-values, 90 data points
    Location Call Number Expected Availability
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    DATA PANGAEA
  • 66
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    Unknown
    Chlorophyll and phaeopigments in surface sediment profile PE236-24 (2007)
    PANGAEA
    In:  Jacobs University Bremen gGmbH
    Details
    Publication Date: 2023-03-13
    Keywords: Chlorophyll a; Chlorophyll a, standard deviation; Chlorophyll pigment equivalents; Chloroplastic pigment equivalents, standard deviation; Depth, bottom/max; DEPTH, sediment/rock; Depth, top/min; European Margin Strata Formation; EuroSTRATAFORM; HERMES; Hotspot Ecosystem Research on the Margins of European Seas; MUC; MultiCorer; Nazare Canyon; PE204 PE218 PE225 PE236; PE236-24; PE2xx; Phaeopigments; Phaeopigments, standard deviation; Replicates
    Type: Dataset
    Format: text/tab-separated-values, 90 data points
    Location Call Number Expected Availability
    BibTip Others were also interested in ...
    DATA PANGAEA
  • 67
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    Unknown
    Chlorophyll and phaeopigments in surface sediment profile PE236-52 (2007)
    PANGAEA
    In:  Jacobs University Bremen gGmbH
    Details
    Publication Date: 2023-03-13
    Keywords: Chlorophyll a; Chlorophyll a, standard deviation; Chlorophyll pigment equivalents; Chloroplastic pigment equivalents, standard deviation; Depth, bottom/max; DEPTH, sediment/rock; Depth, top/min; European Margin Strata Formation; EuroSTRATAFORM; HERMES; Hotspot Ecosystem Research on the Margins of European Seas; MUC; MultiCorer; PE204 PE218 PE225 PE236; PE236-52; PE2xx; Phaeopigments; Phaeopigments, standard deviation; Replicates; Setubal Canyon
    Type: Dataset
    Format: text/tab-separated-values, 90 data points
    Location Call Number Expected Availability
    BibTip Others were also interested in ...
    DATA PANGAEA
  • 68
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    Unknown
    Chlorophyll and phaeopigments in surface sediment profile PE236-53 (2007)
    PANGAEA
    In:  Jacobs University Bremen gGmbH
    Details
    Publication Date: 2023-03-13
    Keywords: Chlorophyll a; Chlorophyll a, standard deviation; Chlorophyll pigment equivalents; Chloroplastic pigment equivalents, standard deviation; Depth, bottom/max; DEPTH, sediment/rock; Depth, top/min; European Margin Strata Formation; EuroSTRATAFORM; HERMES; Hotspot Ecosystem Research on the Margins of European Seas; MUC; MultiCorer; PE204 PE218 PE225 PE236; PE236-53; PE2xx; Phaeopigments; Phaeopigments, standard deviation; Replicates; Setubal Canyon
    Type: Dataset
    Format: text/tab-separated-values, 90 data points
    Location Call Number Expected Availability
    BibTip Others were also interested in ...
    DATA PANGAEA
  • 69
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    Unknown
    Chlorophyll and phaeopigments in surface sediment profile PE225-45 (2007)
    PANGAEA
    In:  Jacobs University Bremen gGmbH
    Details
    Publication Date: 2023-03-13
    Keywords: Chlorophyll a; Chlorophyll a, standard deviation; Chlorophyll pigment equivalents; Chloroplastic pigment equivalents, standard deviation; Depth, bottom/max; DEPTH, sediment/rock; Depth, top/min; European Margin Strata Formation; EuroSTRATAFORM; HERMES; Hotspot Ecosystem Research on the Margins of European Seas; MUC; MultiCorer; PE204 PE218 PE225 PE236; PE225-45; PE2xx; Phaeopigments; Phaeopigments, standard deviation; Replicates; Setubal Canyon
    Type: Dataset
    Format: text/tab-separated-values, 90 data points
    Location Call Number Expected Availability
    BibTip Others were also interested in ...
    DATA PANGAEA
  • 70
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    Unknown
    Chlorophyll and phaeopigments in surface sediment profile PE225-47 (2007)
    PANGAEA
    In:  Jacobs University Bremen gGmbH
    Details
    Publication Date: 2023-03-13
    Keywords: Cap Creux; Chlorophyll a; Chlorophyll a, standard deviation; Chlorophyll pigment equivalents; Chloroplastic pigment equivalents, standard deviation; Depth, bottom/max; DEPTH, sediment/rock; Depth, top/min; European Margin Strata Formation; EuroSTRATAFORM; HERMES; Hotspot Ecosystem Research on the Margins of European Seas; MUC; MultiCorer; PE204 PE218 PE225 PE236; PE225-47; PE2xx; Phaeopigments; Phaeopigments, standard deviation; Replicates; SESAME; Southern European Seas: Assessing and Modelling Ecosystem Changes
    Type: Dataset
    Format: text/tab-separated-values, 90 data points
    Location Call Number Expected Availability
    BibTip Others were also interested in ...
    DATA PANGAEA
  • 71
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    Unknown
    Chlorophyll and phaeopigments in surface sediment profile PE225-48 (2007)
    PANGAEA
    In:  Jacobs University Bremen gGmbH
    Details
    Publication Date: 2023-03-13
    Keywords: Cap Creux; Chlorophyll a; Chlorophyll a, standard deviation; Chlorophyll pigment equivalents; Chloroplastic pigment equivalents, standard deviation; Depth, bottom/max; DEPTH, sediment/rock; Depth, top/min; European Margin Strata Formation; EuroSTRATAFORM; HERMES; Hotspot Ecosystem Research on the Margins of European Seas; MUC; MultiCorer; PE204 PE218 PE225 PE236; PE225-48; PE2xx; Phaeopigments; Phaeopigments, standard deviation; Replicates; SESAME; Southern European Seas: Assessing and Modelling Ecosystem Changes
    Type: Dataset
    Format: text/tab-separated-values, 90 data points
    Location Call Number Expected Availability
    BibTip Others were also interested in ...
    DATA PANGAEA
  • 72
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    Unknown
    Chlorophyll and phaeopigments in surface sediment profile PE225-49 (2007)
    PANGAEA
    In:  Jacobs University Bremen gGmbH
    Details
    Publication Date: 2023-03-13
    Keywords: Cap Creux; Chlorophyll a; Chlorophyll a, standard deviation; Chlorophyll pigment equivalents; Chloroplastic pigment equivalents, standard deviation; Depth, bottom/max; DEPTH, sediment/rock; Depth, top/min; European Margin Strata Formation; EuroSTRATAFORM; HERMES; Hotspot Ecosystem Research on the Margins of European Seas; MUC; MultiCorer; PE204 PE218 PE225 PE236; PE225-49; PE2xx; Phaeopigments; Phaeopigments, standard deviation; Replicates; SESAME; Southern European Seas: Assessing and Modelling Ecosystem Changes
    Type: Dataset
    Format: text/tab-separated-values, 90 data points
    Location Call Number Expected Availability
    BibTip Others were also interested in ...
    DATA PANGAEA
  • 73
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    Unknown
    Chlorophyll and phaeopigments in surface sediment profile PE225-50 (2007)
    PANGAEA
    In:  Jacobs University Bremen gGmbH
    Details
    Publication Date: 2023-03-13
    Keywords: Cap Creux; Chlorophyll a; Chlorophyll a, standard deviation; Chlorophyll pigment equivalents; Chloroplastic pigment equivalents, standard deviation; Depth, bottom/max; DEPTH, sediment/rock; Depth, top/min; European Margin Strata Formation; EuroSTRATAFORM; HERMES; Hotspot Ecosystem Research on the Margins of European Seas; MUC; MultiCorer; PE204 PE218 PE225 PE236; PE225-50; PE2xx; Phaeopigments; Phaeopigments, standard deviation; Replicates; SESAME; Southern European Seas: Assessing and Modelling Ecosystem Changes
    Type: Dataset
    Format: text/tab-separated-values, 90 data points
    Location Call Number Expected Availability
    BibTip Others were also interested in ...
    DATA PANGAEA
  • 74
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    Unknown
    Chlorophyll and phaeopigments in surface sediment profile PE225-51 (2007)
    PANGAEA
    In:  Jacobs University Bremen gGmbH
    Details
    Publication Date: 2023-03-13
    Keywords: Cap Creux; Chlorophyll a; Chlorophyll a, standard deviation; Chlorophyll pigment equivalents; Chloroplastic pigment equivalents, standard deviation; Depth, bottom/max; DEPTH, sediment/rock; Depth, top/min; European Margin Strata Formation; EuroSTRATAFORM; HERMES; Hotspot Ecosystem Research on the Margins of European Seas; MUC; MultiCorer; PE204 PE218 PE225 PE236; PE225-51; PE2xx; Phaeopigments; Phaeopigments, standard deviation; Replicates; SESAME; Southern European Seas: Assessing and Modelling Ecosystem Changes
    Type: Dataset
    Format: text/tab-separated-values, 90 data points
    Location Call Number Expected Availability
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    DATA PANGAEA
  • 75
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    Unknown
    Hydrochemistry measured on water bottle samples during Arne Tiselius cruise AT91/2 (2007)
    PANGAEA
    In:  Marine Research Station at Kristineberg, Kristinebergs Marina Forskningsstation
    Details
    Publication Date: 2023-03-14
    Keywords: Arne Tiselius; AT91/2; AT91/2_1; AT91/2_2; AT91/2_3; AT91/2_4; AT91/2_41; AT91/2_42; AT91/2_43; AT91/2_44; AT91/2_45; AT91/2_46; AT91/2_5; Chlorophyll total; CTD/Rosette; CTD-RO; Date/Time of event; DEPTH, water; Elevation of event; Event label; Kattegat; Latitude of event; Longitude of event; Nitrate; Oxygen; pH; Phosphate; Pressure, water; Salinity; Silicate; Temperature, water
    Type: Dataset
    Format: text/tab-separated-values, 789 data points
    Location Call Number Expected Availability
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    DATA PANGAEA
  • 76
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    Unknown
    Hydrochemistry measured on water bottle samples during OCEANIA cruise Oceania90 (2007)
    PANGAEA
    In:  Institute of Oceanology of the Polish Acedemy of Sciences
    Details
    Publication Date: 2023-03-14
    Keywords: Alkalinity, total; Ammonium; Chlorophyll total; CTD/Rosette; CTD-RO; Date/Time of event; DEPTH, water; Elevation of event; Event label; Latitude of event; Longitude of event; Nitrate; Nitrite; Nitrogen, organic, particulate; Oceania; Oceania90; Oceania90_10; Oceania90_11; Oceania90_12; Oceania90_14; Oceania90_15; Oceania90_16; Oceania90_17; Oceania90_18; Oceania90_19; Oceania90_20; Oceania90_21; Oceania90_22; Oceania90_23; Oceania90_24; Oceania90_25; Oceania90_3; Oceania90_31; Oceania90_32; Oceania90_33; Oceania90_34; Oceania90_35; Oceania90_37; Oceania90_38; Oceania90_39; Oceania90_4; Oceania90_40; Oceania90_41; Oceania90_42; Oceania90_43; Oceania90_44; Oceania90_45; Oceania90_46; Oceania90_47; Oceania90_48; Oceania90_49; Oceania90_5; Oceania90_50; Oceania90_51; Oceania90_52; Oceania90_53; Oceania90_54; Oceania90_55; Oceania90_56; Oceania90_57; Oceania90_58; Oceania90_59; Oceania90_6; Oceania90_60; Oceania90_61; Oceania90_62; Oceania90_63; Oceania90_64; Oceania90_65; Oceania90_66; Oceania90_68; Oceania90_69; Oceania90_7; Oceania90_70; Oceania90_71; Oceania90_72; Oceania90_73; Oceania90_74; Oceania90_75; Oceania90_76; Oceania90_77; Oceania90_78; Oceania90_79; Oceania90_9; Oxygen; pH; Phosphate; Phosphorus, total; Pressure, water; Salinity; Silicate; Skagerrak; Temperature, water
    Type: Dataset
    Format: text/tab-separated-values, 11844 data points
    Location Call Number Expected Availability
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    DATA PANGAEA
  • 77
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    Unknown
    Hydrochemistry measured on water bottle samples during Lev Titov cruise LT90/2 (2007)
    PANGAEA
    In:  Hydrometeorological Observatory of Klaipéda
    Details
    Publication Date: 2023-03-14
    Keywords: Chlorophyll total; CTD/Rosette; CTD-RO; Date/Time of event; DEPTH, water; Elevation of event; Event label; Latitude of event; Lev Titov; Longitude of event; LT90/2; LT90/2_1; LT90/2_10; LT90/2_11; LT90/2_12; LT90/2_13; LT90/2_14; LT90/2_15; LT90/2_16; LT90/2_17; LT90/2_18; LT90/2_19; LT90/2_2; LT90/2_20; LT90/2_21; LT90/2_22; LT90/2_23; LT90/2_24; LT90/2_25; LT90/2_26; LT90/2_27; LT90/2_28; LT90/2_29; LT90/2_3; LT90/2_30; LT90/2_31; LT90/2_32; LT90/2_33; LT90/2_34; LT90/2_35; LT90/2_36; LT90/2_37; LT90/2_38; LT90/2_39; LT90/2_4; LT90/2_40; LT90/2_41; LT90/2_42; LT90/2_43; LT90/2_44; LT90/2_45; LT90/2_46; LT90/2_47; LT90/2_48; LT90/2_49; LT90/2_5; LT90/2_50; LT90/2_51; LT90/2_52; LT90/2_53; LT90/2_54; LT90/2_55; LT90/2_56; LT90/2_57; LT90/2_58; LT90/2_59; LT90/2_6; LT90/2_60; LT90/2_61; LT90/2_62; LT90/2_63; LT90/2_64; LT90/2_65; LT90/2_66; LT90/2_67; LT90/2_68; LT90/2_69; LT90/2_7; LT90/2_70; LT90/2_71; LT90/2_72; LT90/2_73; LT90/2_74; LT90/2_75; LT90/2_76; LT90/2_77; LT90/2_78; LT90/2_79; LT90/2_8; LT90/2_80; LT90/2_81; LT90/2_82; LT90/2_83; LT90/2_84; LT90/2_85; LT90/2_86; LT90/2_87; LT90/2_88; LT90/2_89; LT90/2_9; LT90/2_90; LT90/2_91; LT90/2_92; LT90/2_93; Nitrate; Nitrite; Oxygen; pH; Phosphate; Pressure, water; Salinity; Silicate; Skagerrak; Temperature, water
    Type: Dataset
    Format: text/tab-separated-values, 6758 data points
    Location Call Number Expected Availability
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    DATA PANGAEA
  • 78
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    Unknown
    Physical oceanography during cruise Eldjarn87/4 (2007)
    PANGAEA
    Details
    Publication Date: 2023-03-13
    Keywords: Celtic Sea; CTD/Rosette; CTD-RO; Date/Time of event; DEPTH, water; Eldjarn; Eldjarn87/4; Eldjarn87/4_315; Eldjarn87/4_316; Eldjarn87/4_317; Eldjarn87/4_318; Eldjarn87/4_319; Eldjarn87/4_320; Eldjarn87/4_321; Eldjarn87/4_322; Eldjarn87/4_323; Eldjarn87/4_324; Eldjarn87/4_325; Eldjarn87/4_326; Eldjarn87/4_327; Eldjarn87/4_328; Eldjarn87/4_329; Eldjarn87/4_330; Eldjarn87/4_331; Eldjarn87/4_332; Eldjarn87/4_333; Eldjarn87/4_334; Eldjarn87/4_335; Eldjarn87/4_336; Eldjarn87/4_337; Eldjarn87/4_338; Eldjarn87/4_339; Eldjarn87/4_340; Eldjarn87/4_341; Eldjarn87/4_342; Eldjarn87/4_343; Eldjarn87/4_344; Eldjarn87/4_345; Eldjarn87/4_346; Eldjarn87/4_347; Eldjarn87/4_348; Eldjarn87/4_349; Eldjarn87/4_350; Eldjarn87/4_351; Eldjarn87/4_352; Eldjarn87/4_353; Eldjarn87/4_354; Eldjarn87/4_355; Eldjarn87/4_356; Eldjarn87/4_357; Eldjarn87/4_358; Eldjarn87/4_359; Eldjarn87/4_360; Eldjarn87/4_361; Eldjarn87/4_362; Eldjarn87/4_363; Eldjarn87/4_364; Eldjarn87/4_365; Eldjarn87/4_366; Eldjarn87/4_367; Eldjarn87/4_368; Eldjarn87/4_369; Eldjarn87/4_370; Eldjarn87/4_371; Eldjarn87/4_372; Eldjarn87/4_373; Eldjarn87/4_374; Eldjarn87/4_375; Eldjarn87/4_376; Eldjarn87/4_377; Elevation of event; Event label; Latitude of event; Longitude of event; NANSEN; North Atlantic and Norwegian Sea Exchange; Norwegian Sea; Pressure, water; Salinity; South Atlantic Ocean; Temperature, water
    Type: Dataset
    Format: text/tab-separated-values, 8447 data points
    Location Call Number Expected Availability
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    DATA PANGAEA
  • 79
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    Unknown
    Physical oceanography during cruise Challenger88/8 (2007)
    PANGAEA
    In:  Marine Biological Association of the U.K , Plymouth
    Details
    Publication Date: 2023-03-13
    Keywords: Challenger; Challenger88/8; Challenger88/8_30; Challenger88/8_31; Challenger88/8_32; Challenger88/8_33; Challenger88/8_34; Challenger88/8_35; Challenger88/8_36; Challenger88/8_37; Challenger88/8_38; Challenger88/8_39-1; Challenger88/8_39-2; Challenger88/8_40; Challenger88/8_41; Challenger88/8_42; Challenger88/8_43; Challenger88/8_44; Challenger88/8_45; Challenger88/8_46; Challenger88/8_47; Challenger88/8_48; Challenger88/8_49; Challenger88/8_50; Challenger88/8_51; Challenger88/8_52; Challenger88/8_53; Challenger88/8_54; Challenger88/8_55; Challenger88/8_56; Challenger88/8_57; Challenger88/8_58; Challenger88/8_59; Challenger88/8_60; Challenger88/8_61; Challenger88/8_62; Challenger88/8_63; Challenger88/8_64; Challenger88/8_65; Challenger88/8_66; Challenger88/8_67; Challenger88/8_68; Challenger88/8_69; Challenger88/8_70; Challenger88/8_71; Challenger88/8_72; Challenger88/8_73; Challenger88/8_74; Challenger88/8_75; Challenger88/8_76; Challenger88/8_77; Challenger88/8_78; Challenger88/8_79; Challenger88/8_80; Challenger88/8_81; Challenger88/8_82; Challenger88/8_83; Challenger88/8_84; Challenger88/8_85; Challenger88/8_86; Challenger88/8_87; Challenger88/8_88; Challenger88/8_89; Challenger88/8_90; Challenger88/8_91; Challenger88/8_92; Challenger88/8_93; Challenger88/8_94; Challenger88/8_95; Challenger88/8_96; CTD/Rosette; CTD-RO; Date/Time of event; DEPTH, water; Event label; Latitude of event; Longitude of event; NANSEN; North Atlantic and Norwegian Sea Exchange; Pressure, water; Salinity; South Atlantic Ocean; Temperature, water
    Type: Dataset
    Format: text/tab-separated-values, 9292 data points
    Location Call Number Expected Availability
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    DATA PANGAEA
  • 80
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    Unknown
    Hydrochemistry measured on water bottle samples during cruise Gauss88/6 (2007)
    PANGAEA
    In:  Bundesamt für Seeschiffahrt und Hydrographie, Hamburg
    Details
    Publication Date: 2023-03-13
    Keywords: Celtic Sea; CTD/Rosette; CTD-RO; Date/Time of event; DEPTH, water; Elevation of event; Event label; Gauss; Gauss88/6; Gauss88/6_001; Gauss88/6_002; Gauss88/6_003; Gauss88/6_004; Gauss88/6_005; Gauss88/6_006; Gauss88/6_007; Gauss88/6_008; Gauss88/6_009; Gauss88/6_010; Gauss88/6_011; Gauss88/6_012; Gauss88/6_013; Gauss88/6_014; Gauss88/6_022; Gauss88/6_023; Gauss88/6_024; Gauss88/6_025; Gauss88/6_026; Gauss88/6_027; Gauss88/6_028; Gauss88/6_029; Gauss88/6_030; Gauss88/6_031; Gauss88/6_032; Gauss88/6_034; Gauss88/6_035; Gauss88/6_036; Gauss88/6_037; Gauss88/6_038; Gauss88/6_039; Gauss88/6_040; Gauss88/6_041; Gauss88/6_042; Gauss88/6_043; Gauss88/6_044; Gauss88/6_045; Gauss88/6_046; Gauss88/6_047; Gauss88/6_049; Gauss88/6_050; Gauss88/6_051; Gauss88/6_052; Gauss88/6_053; Gauss88/6_054; Gauss88/6_055; Gauss88/6_056; Gauss88/6_057; Gauss88/6_058; Gauss88/6_059; Gauss88/6_060; Gauss88/6_061; Gauss88/6_062; Gauss88/6_063; Gauss88/6_064; Gauss88/6_065; Gauss88/6_066; Gauss88/6_067; Gauss88/6_068; Gauss88/6_075; Gauss88/6_077; Gauss88/6_078; Gauss88/6_079; Gauss88/6_080; Gauss88/6_081; Gauss88/6_133; Gauss88/6_175; Gauss88/6_176; Gauss88/6_177; Gauss88/6_178; Gauss88/6_233; Greenland Sea; Iceland Sea; Latitude of event; Longitude of event; NANSEN; North Atlantic and Norwegian Sea Exchange; Norwegian Sea; Oxygen; Pressure, water; Salinity; Silicate; South Atlantic Ocean; Temperature, water
    Type: Dataset
    Format: text/tab-separated-values, 6117 data points
    Location Call Number Expected Availability
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    DATA PANGAEA
  • 81
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    Unknown
    Physical oceanography during G. O. Sars cruise GS87/10 (2007)
    PANGAEA
    In:  Directorate of Fisheries, Bergen
    Details
    Publication Date: 2023-03-13
    Keywords: CTD/Rosette; CTD-RO; Date/Time of event; DEPTH, water; Elevation of event; Event label; G. O. Sars (1970); GS87/10; GS87/10_1094; GS87/10_1095; GS87/10_1096; GS87/10_1097; GS87/10_1098; GS87/10_1099; GS87/10_1100; GS87/10_1101; GS87/10_1102; GS87/10_1103; GS87/10_1104; GS87/10_1105; GS87/10_1106; GS87/10_1107; GS87/10_1108; GS87/10_1109; GS87/10_1110; GS87/10_1111; GS87/10_1112; GS87/10_1113; GS87/10_1114; GS87/10_1115; GS87/10_1116; GS87/10_1117; GS87/10_1118; GS87/10_1119; GS87/10_1120; GS87/10_1121; GS87/10_1122; GS87/10_1123; GS87/10_1124; GS87/10_1125; GS87/10_1126; GS87/10_1127; GS87/10_1128; GS87/10_1129; GS87/10_1130; GS87/10_1131; GS87/10_1132; GS87/10_1133; GS87/10_1134; GS87/10_1135; GS87/10_1136; GS87/10_1137; GS87/10_1138; GS87/10_1139; GS87/10_1140; GS87/10_1141; GS87/10_1142; GS87/10_1143; GS87/10_1144; GS87/10_1145; GS87/10_1146; GS87/10_1147; GS87/10_1148; GS87/10_1149; GS87/10_1150; GS87/10_1151; GS87/10_1152; GS87/10_1153; GS87/10_1154; GS87/10_1155; GS87/10_1156; GS87/10_1157; GS87/10_1158; GS87/10_1159; GS87/10_1160; GS87/10_1161; GS87/10_1162; GS87/10_1163; GS87/10_1164; GS87/10_1165; GS87/10_1166; GS87/10_1167; GS87/10_1168; GS87/10_1169; GS87/10_1170; GS87/10_1171; GS87/10_1172; GS87/10_1173; GS87/10_1174; GS87/10_1175; GS87/10_1176; GS87/10_1177; GS87/10_1178; GS87/10_1179; GS87/10_1180; GS87/10_1181; GS87/10_1182; GS87/10_1183; GS87/10_1184; GS87/10_1185; GS87/10_1186; GS87/10_1187; GS87/10_1188; GS87/10_1189; GS87/10_1190; GS87/10_1191; GS87/10_1192; GS87/10_1193; GS87/10_1194; GS87/10_1195; GS87/10_1196; GS87/10_1197; GS87/10_1198; Iceland Sea; Latitude of event; Longitude of event; NANSEN; North Atlantic and Norwegian Sea Exchange; North Greenland Sea; Norwegian Sea; Pressure, water; Salinity; Temperature, water
    Type: Dataset
    Format: text/tab-separated-values, 16559 data points
    Location Call Number Expected Availability
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    DATA PANGAEA
  • 82
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    Unknown
    Physical oceanography during Håkon Mosby cruise HM86/7 (2007)
    PANGAEA
    In:  Geophysical Institute, University of Bergen
    Details
    Publication Date: 2023-03-13
    Keywords: CTD/Rosette; CTD-RO; Date/Time of event; DEPTH, water; Elevation of event; Event label; Håkon Mosby; HM86/7; HM86/7_01; HM86/7_02; HM86/7_03; HM86/7_04; HM86/7_06; HM86/7_07; HM86/7_09; HM86/7_10; HM86/7_11; HM86/7_12; HM86/7_13; HM86/7_14; HM86/7_15; HM86/7_16; HM86/7_17; HM86/7_18; HM86/7_19; HM86/7_20; HM86/7_21; HM86/7_22; HM86/7_23; HM86/7_24; HM86/7_25; HM86/7_26; HM86/7_27; HM86/7_28; HM86/7_29; HM86/7_30; HM86/7_31; HM86/7_32; HM86/7_33; HM86/7_34; HM86/7_35; HM86/7_36; HM86/7_37; HM86/7_38; HM86/7_39; HM86/7_40; HM86/7_41; HM86/7_42; HM86/7_43; HM86/7_44; HM86/7_45; HM86/7_46; HM86/7_47; HM86/7_48; HM86/7_49; HM86/7_50; HM86/7_51; HM86/7_52; HM86/7_53; HM86/7_54; HM86/7_55; HM86/7_56; HM86/7_57; HM86/7_58; HM86/7_59; HM86/7_60; HM86/7_61; HM86/7_62; HM86/7_63; HM86/7_64; HM86/7_65; HM86/7_66; HM86/7_67; Iceland Sea; Latitude of event; Longitude of event; NANSEN; North Atlantic and Norwegian Sea Exchange; Norwegian Sea; Pressure, water; Salinity; South Atlantic Ocean; Temperature, water
    Type: Dataset
    Format: text/tab-separated-values, 1797 data points
    Location Call Number Expected Availability
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    DATA PANGAEA
  • 83
    facet.materialart.
    Unknown
    Physical oceanography during Håkon Mosby cruise HM88/6 (2007)
    PANGAEA
    In:  Geophysical Institute, University of Bergen
    Details
    Publication Date: 2023-03-13
    Keywords: CTD/Rosette; CTD-RO; Date/Time of event; DEPTH, water; Elevation of event; Event label; Håkon Mosby; HM88/6; HM88/6_001; HM88/6_002; HM88/6_003; HM88/6_004; HM88/6_005; HM88/6_006; HM88/6_007; HM88/6_008; HM88/6_009; HM88/6_010; HM88/6_011; HM88/6_012; HM88/6_013; HM88/6_014; HM88/6_015; HM88/6_016; HM88/6_017; HM88/6_018; HM88/6_019; HM88/6_022; HM88/6_023; HM88/6_024; HM88/6_025; HM88/6_026; HM88/6_027; HM88/6_030; HM88/6_031; HM88/6_032; HM88/6_033; HM88/6_034; HM88/6_035; HM88/6_036; HM88/6_037; HM88/6_038; HM88/6_039; HM88/6_040; HM88/6_041; HM88/6_042; HM88/6_043; HM88/6_044; HM88/6_045; HM88/6_046; HM88/6_047; HM88/6_048; HM88/6_049; HM88/6_050; HM88/6_051; HM88/6_052; HM88/6_053; HM88/6_054; HM88/6_055; HM88/6_056; HM88/6_059; HM88/6_060; HM88/6_061; HM88/6_062; HM88/6_063; HM88/6_064; HM88/6_065; HM88/6_066; HM88/6_070; HM88/6_071; HM88/6_072; HM88/6_073; HM88/6_074; HM88/6_075; HM88/6_076; HM88/6_077; HM88/6_078; HM88/6_079; HM88/6_080; HM88/6_081; HM88/6_083; HM88/6_084; HM88/6_085; HM88/6_086; HM88/6_087; HM88/6_088; HM88/6_089; HM88/6_090; HM88/6_091; HM88/6_092; HM88/6_093; HM88/6_094; HM88/6_095; HM88/6_096; HM88/6_097; HM88/6_098; HM88/6_099; HM88/6_100; HM88/6_101; HM88/6_102; HM88/6_105; HM88/6_106; HM88/6_107; HM88/6_108; HM88/6_109; HM88/6_110; HM88/6_111; HM88/6_112; HM88/6_113; HM88/6_114; HM88/6_115; HM88/6_116; HM88/6_117; HM88/6_118; HM88/6_119; HM88/6_120; HM88/6_121; HM88/6_122; HM88/6_123; HM88/6_124; HM88/6_125; HM88/6_126; HM88/6_127; HM88/6_128; HM88/6_129; HM88/6_130; HM88/6_132; Iceland Sea; Latitude of event; Longitude of event; NANSEN; North Atlantic and Norwegian Sea Exchange; Norwegian Sea; Pressure, water; Salinity; South Atlantic Ocean; Temperature, water
    Type: Dataset
    Format: text/tab-separated-values, 6210 data points
    Location Call Number Expected Availability
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    DATA PANGAEA
  • 84
    facet.materialart.
    Unknown
    Physical oceanography during Håkon Mosby cruise HM87/8 (2007)
    PANGAEA
    In:  Geophysical Institute, University of Bergen
    Details
    Publication Date: 2023-03-13
    Keywords: CTD/Rosette; CTD-RO; Date/Time of event; DEPTH, water; Elevation of event; Event label; Håkon Mosby; HM87/8; HM87/8_001; HM87/8_002; HM87/8_003; HM87/8_004; HM87/8_005; HM87/8_006; HM87/8_008; HM87/8_009; HM87/8_010; HM87/8_011; HM87/8_012; HM87/8_014; HM87/8_015; HM87/8_016; HM87/8_017; HM87/8_018; HM87/8_019; HM87/8_020; HM87/8_021; HM87/8_022; HM87/8_023; HM87/8_024; HM87/8_025; HM87/8_026; HM87/8_027; HM87/8_028; HM87/8_029; HM87/8_030; HM87/8_031; HM87/8_032; HM87/8_033; HM87/8_034; HM87/8_035; HM87/8_036; HM87/8_037; HM87/8_038; HM87/8_039; HM87/8_040; HM87/8_041; HM87/8_042; HM87/8_043; HM87/8_044; HM87/8_045; HM87/8_046; HM87/8_047; HM87/8_048; HM87/8_049; HM87/8_050; HM87/8_051; HM87/8_052; HM87/8_053; HM87/8_054; HM87/8_055; HM87/8_056; HM87/8_057; HM87/8_058; HM87/8_059; HM87/8_060; HM87/8_061; HM87/8_062; HM87/8_063; HM87/8_064; HM87/8_065; HM87/8_066; HM87/8_067; HM87/8_068; HM87/8_069; HM87/8_070; HM87/8_071; HM87/8_072; HM87/8_073; HM87/8_074; HM87/8_075; HM87/8_076; HM87/8_077; HM87/8_078; HM87/8_079; HM87/8_080; HM87/8_081; HM87/8_082; HM87/8_083; HM87/8_084; HM87/8_085; HM87/8_086; HM87/8_087; HM87/8_088; HM87/8_089; HM87/8_090; HM87/8_091; HM87/8_092; HM87/8_093; HM87/8_094; HM87/8_095; HM87/8_096; HM87/8_097; HM87/8_098; HM87/8_099; HM87/8_100; HM87/8_101; HM87/8_102; HM87/8_103; HM87/8_104; HM87/8_105; HM87/8_106; HM87/8_107; HM87/8_108; HM87/8_109; HM87/8_110; HM87/8_111; HM87/8_112; HM87/8_113; HM87/8_114; HM87/8_115; HM87/8_116; HM87/8_117; HM87/8_118; HM87/8_119; HM87/8_120; HM87/8_121; HM87/8_122; HM87/8_123; HM87/8_124; HM87/8_125; HM87/8_126; HM87/8_127; HM87/8_128; HM87/8_129; HM87/8_130; HM87/8_131; HM87/8_132; HM87/8_133; HM87/8_134; HM87/8_135; HM87/8_136; HM87/8_137; HM87/8_138; HM87/8_139; HM87/8_140; HM87/8_141; HM87/8_142; HM87/8_143; HM87/8_144; HM87/8_145; HM87/8_146; HM87/8_147; HM87/8_148; HM87/8_149; HM87/8_150; HM87/8_151; HM87/8_152; HM87/8_153; HM87/8_154; HM87/8_155; HM87/8_156; HM87/8_157; HM87/8_158; HM87/8_159; HM87/8_160; HM87/8_161; HM87/8_162; HM87/8_163; HM87/8_164; HM87/8_165; HM87/8_166; HM87/8_167; Latitude of event; Longitude of event; NANSEN; North Atlantic and Norwegian Sea Exchange; Norwegian Sea; Pressure, water; Salinity; South Atlantic Ocean; Temperature, water
    Type: Dataset
    Format: text/tab-separated-values, 4299 data points
    Location Call Number Expected Availability
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    DATA PANGAEA
  • 85
    facet.materialart.
    Unknown
    Physical oceanography during Håkon Mosby cruise HM89/7 (2007)
    PANGAEA
    In:  Geophysical Institute, University of Bergen
    Details
    Publication Date: 2023-03-13
    Keywords: CTD; CTD/Rosette; CTD-RO; Date/Time of event; DEPTH, water; Elevation of event; Event label; Håkon Mosby; HM89/7; HM89/7_01; HM89/7_02; HM89/7_03; HM89/7_04; HM89/7_05; HM89/7_06; HM89/7_07; HM89/7_08; HM89/7_09; HM89/7_10; HM89/7_11; HM89/7_12; HM89/7_13; HM89/7_14; HM89/7_15; HM89/7_16; HM89/7_17; HM89/7_18; HM89/7_19; HM89/7_20; HM89/7_21; HM89/7_22; HM89/7_23; HM89/7_24; HM89/7_25; HM89/7_26; HM89/7_27; HM89/7_28; HM89/7_29; HM89/7_30; HM89/7_31; HM89/7_32; HM89/7_33; HM89/7_34; HM89/7_35; HM89/7_36; HM89/7_37; HM89/7_38; HM89/7_39; HM89/7_40; HM89/7_41; HM89/7_42; HM89/7_43; HM89/7_44; HM89/7_45; HM89/7_46; HM89/7_47; HM89/7_48; HM89/7_50; HM89/7_51; HM89/7_52; HM89/7_53; HM89/7_54; HM89/7_55; HM89/7_56; HM89/7_57; HM89/7_58; HM89/7_59; HM89/7_60; HM89/7_61; HM89/7_62; Iceland Sea; Latitude of event; Longitude of event; NANSEN; North Atlantic and Norwegian Sea Exchange; Norwegian Sea; Pressure, water; Salinity; South Atlantic Ocean; Temperature, water
    Type: Dataset
    Format: text/tab-separated-values, 3057 data points
    Location Call Number Expected Availability
    BibTip Others were also interested in ...
    DATA PANGAEA
  • 86
    facet.materialart.
    Unknown
    Physical oceanography during Magnus Heinason cruise MH86/9 (2007)
    PANGAEA
    In:  Fisheries Laboratory of the Faeroe Islands
    Details
    Publication Date: 2023-03-13
    Keywords: CTD/Rosette; CTD-RO; Date/Time of event; DEPTH, water; Elevation of event; Event label; Iceland Sea; Latitude of event; Longitude of event; Magnus Heinason; MH86/9; MH86/9_02; MH86/9_04; MH86/9_05; MH86/9_06; MH86/9_07; MH86/9_08; MH86/9_09; MH86/9_10; MH86/9_11; MH86/9_12; MH86/9_13; MH86/9_14; MH86/9_15; MH86/9_16; MH86/9_17; MH86/9_18; MH86/9_19; MH86/9_21; MH86/9_22; MH86/9_46; MH86/9_47; MH86/9_48; MH86/9_49; MH86/9_50; MH86/9_51; MH86/9_52; MH86/9_53; MH86/9_54; MH86/9_55; MH86/9_56; MH86/9_57; MH86/9_58; MH86/9_59; MH86/9_60; MH86/9_61; MH86/9_62; MH86/9_63; MH86/9_64; MH86/9_65; MH86/9_66; MH86/9_67; MH86/9_68; MH86/9_69; MH86/9_70; MH86/9_71; MH86/9_72; MH86/9_73; MH86/9_74; MH86/9_75; MH86/9_76; MH86/9_77; MH86/9_78; MH86/9_79; MH86/9_80; MH86/9_81; MH86/9_82; MH86/9_83; NANSEN; North Atlantic and Norwegian Sea Exchange; Norwegian Sea; Pressure, water; Salinity; South Atlantic Ocean; Temperature, water
    Type: Dataset
    Format: text/tab-separated-values, 3144 data points
    Location Call Number Expected Availability
    BibTip Others were also interested in ...
    DATA PANGAEA
  • 87
    facet.materialart.
    Unknown
    Physical oceanography during Frederick Russell cruise FR87/6 (2007)
    PANGAEA
    In:  School of Ocean Sciences, University College of North Wales (University College)
    Details
    Publication Date: 2023-03-13
    Keywords: CTD/Rosette; CTD-RO; Date/Time of event; DEPTH, water; Elevation of event; Event label; FR87/6; FR87/6_012; FR87/6_013; FR87/6_014; FR87/6_015; FR87/6_016; FR87/6_017; FR87/6_018; FR87/6_019; FR87/6_020; FR87/6_021; FR87/6_022; FR87/6_023; FR87/6_024; FR87/6_025; FR87/6_026; FR87/6_027; FR87/6_028; FR87/6_029; FR87/6_030; FR87/6_031; FR87/6_032; FR87/6_033; FR87/6_034; FR87/6_035; FR87/6_036; FR87/6_037; FR87/6_038; FR87/6_039; FR87/6_040; FR87/6_041; FR87/6_042; FR87/6_043; FR87/6_044; FR87/6_045; FR87/6_046; FR87/6_047; FR87/6_048; FR87/6_050; FR87/6_051; FR87/6_052; FR87/6_053; FR87/6_054; FR87/6_055; FR87/6_056; FR87/6_057; FR87/6_058; FR87/6_059; FR87/6_060; FR87/6_061; FR87/6_062; FR87/6_063; FR87/6_064; FR87/6_065; FR87/6_066; FR87/6_067; FR87/6_068; FR87/6_069; FR87/6_070; FR87/6_071; FR87/6_072; FR87/6_073; FR87/6_074; FR87/6_075; FR87/6_076; FR87/6_077; FR87/6_078; FR87/6_079; FR87/6_080; FR87/6_081; FR87/6_082; FR87/6_083; FR87/6_084; FR87/6_085; FR87/6_086; FR87/6_087; FR87/6_088; FR87/6_089; FR87/6_090; FR87/6_091; FR87/6_092; FR87/6_093; FR87/6_094; FR87/6_095; FR87/6_096; FR87/6_097; FR87/6_098; FR87/6_099; FR87/6_100; FR87/6_101; FR87/6_102; FR87/6_103; FR87/6_104; FR87/6_105; FR87/6_106; FR87/6_107; FR87/6_108; FR87/6_109; FR87/6_110; FR87/6_111; FR87/6_112; FR87/6_113; FR87/6_114; FR87/6_115; FR87/6_116; FR87/6_117; FR87/6_118; FR87/6_119; FR87/6_120; FR87/6_121; FR87/6_122; FR87/6_123; FR87/6_124; FR87/6_125; FR87/6_126; FR87/6_127; FR87/6_128; FR87/6_129; FR87/6_130; FR87/6_131; FR87/6_132; FR87/6_133; FR87/6_134; FR87/6_135; FR87/6_136; FR87/6_137; FR87/6_138; FR87/6_139; FR87/6_140; FR87/6_141; FR87/6_142; FR87/6_143; FR87/6_144; FR87/6_145; FR87/6_146; FR87/6_147; FR87/6_148; FR87/6_149; FR87/6_150; Frederick Russell; Latitude of event; Longitude of event; NANSEN; North Atlantic and Norwegian Sea Exchange; Pressure, water; Salinity; South Atlantic Ocean; Temperature, water
    Type: Dataset
    Format: text/tab-separated-values, 41027 data points
    Location Call Number Expected Availability
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    DATA PANGAEA
  • 88
    facet.materialart.
    Unknown
    Physical oceanography during Magnus Heinason cruise MH88/10 (2007)
    PANGAEA
    In:  Fisheries Laboratory of the Faeroe Islands
    Details
    Publication Date: 2023-03-13
    Keywords: CTD/Rosette; CTD-RO; Date/Time of event; DEPTH, water; Elevation of event; Event label; Latitude of event; Longitude of event; Magnus Heinason; MH88/10; MH88/10_104; MH88/10_105; MH88/10_106; MH88/10_107; MH88/10_108; MH88/10_109; MH88/10_110; MH88/10_111; MH88/10_155; MH88/10_156; MH88/10_157; MH88/10_158; MH88/10_159; MH88/10_160; MH88/10_161; MH88/10_162; MH88/10_163; MH88/10_164; MH88/10_165; MH88/10_166; NANSEN; North Atlantic and Norwegian Sea Exchange; Norwegian Sea; Pressure, water; Salinity; South Atlantic Ocean; Temperature, water
    Type: Dataset
    Format: text/tab-separated-values, 1035 data points
    Location Call Number Expected Availability
    BibTip Others were also interested in ...
    DATA PANGAEA
  • 89
    facet.materialart.
    Unknown
    Physical oceanography during Magnus Heinason cruise MH87/12 (2007)
    PANGAEA
    In:  Fisheries Laboratory of the Faeroe Islands
    Details
    Publication Date: 2023-03-13
    Keywords: CTD/Rosette; CTD-RO; Date/Time of event; DEPTH, water; Elevation of event; Event label; Iceland Sea; Latitude of event; Longitude of event; Magnus Heinason; MH87/12; MH87/12_018; MH87/12_019; MH87/12_020; MH87/12_021; MH87/12_022; MH87/12_023; MH87/12_024; MH87/12_025; MH87/12_026; MH87/12_027; MH87/12_028; MH87/12_029; MH87/12_030; MH87/12_031; MH87/12_032; MH87/12_033; MH87/12_034; MH87/12_035; MH87/12_036; MH87/12_037; MH87/12_038; MH87/12_039; MH87/12_040; MH87/12_041; MH87/12_042; MH87/12_043; MH87/12_044; MH87/12_045; MH87/12_046; MH87/12_047; MH87/12_048; MH87/12_049; MH87/12_050; MH87/12_051; MH87/12_052; MH87/12_053; MH87/12_054; MH87/12_055; MH87/12_056; MH87/12_057; MH87/12_058; MH87/12_059; MH87/12_060; MH87/12_061; MH87/12_062; MH87/12_063; MH87/12_064; MH87/12_065; MH87/12_066; MH87/12_067; MH87/12_068; MH87/12_069; MH87/12_070; MH87/12_071; MH87/12_072; MH87/12_073; MH87/12_074; MH87/12_075; MH87/12_076; MH87/12_077; MH87/12_078; MH87/12_079; MH87/12_080; MH87/12_081; MH87/12_082; MH87/12_083; MH87/12_084; MH87/12_085; MH87/12_086; MH87/12_087; MH87/12_088; MH87/12_089; MH87/12_090; MH87/12_091; MH87/12_092; MH87/12_093; MH87/12_094; MH87/12_095; MH87/12_096; MH87/12_097; MH87/12_098; MH87/12_099; MH87/12_100; MH87/12_101; MH87/12_102; MH87/12_103; MH87/12_104; MH87/12_105; MH87/12_106; MH87/12_107; MH87/12_108; MH87/12_109; MH87/12_110; MH87/12_111; MH87/12_114; MH87/12_115; MH87/12_116; MH87/12_117; MH87/12_118; MH87/12_119; MH87/12_120; MH87/12_121; MH87/12_122; MH87/12_123; MH87/12_124; MH87/12_125; MH87/12_126; MH87/12_127; MH87/12_128; MH87/12_129; MH87/12_130; MH87/12_131; MH87/12_132; MH87/12_133; MH87/12_134; MH87/12_135; MH87/12_136; MH87/12_137; MH87/12_138; MH87/12_139; MH87/12_140; MH87/12_141; MH87/12_142; MH87/12_143; MH87/12_144; MH87/12_145; MH87/12_146; MH87/12_147; MH87/12_148; MH87/12_149; MH87/12_150; MH87/12_151; MH87/12_152; MH87/12_153; MH87/12_154; MH87/12_155; MH87/12_156; MH87/12_157; MH87/12_158; MH87/12_159; MH87/12_160; MH87/12_161; MH87/12_162; MH87/12_163; MH87/12_164; MH87/12_165; MH87/12_166; MH87/12_167; MH87/12_168; MH87/12_169; MH87/12_170; MH87/12_171; MH87/12_172; MH87/12_173; MH87/12_174; MH87/12_175; MH87/12_176; MH87/12_177; MH87/12_178; MH87/12_179; MH87/12_180; MH87/12_181; MH87/12_182; MH87/12_183; MH87/12_184; MH87/12_185; MH87/12_186; MH87/12_187; MH87/12_188; MH87/12_189; MH87/12_190; MH87/12_191; MH87/12_192; MH87/12_193; MH87/12_194; NANSEN; North Atlantic and Norwegian Sea Exchange; Norwegian Sea; Pressure, water; Salinity; South Atlantic Ocean; Temperature, water
    Type: Dataset
    Format: text/tab-separated-values, 4197 data points
    Location Call Number Expected Availability
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    DATA PANGAEA
  • 90
    facet.materialart.
    Unknown
    Hydrochemistry measured on water bottle samples during cruise Scotia87/10 (2007)
    PANGAEA
    In:  Marine Laboratory, Department of Agriculture and Fisheries for Scotland, Aberdeen
    Details
    Publication Date: 2023-03-13
    Keywords: CTD/Rosette; CTD-RO; Date/Time of event; DEPTH, water; Elevation of event; Event label; Latitude of event; Longitude of event; NANSEN; North Atlantic and Norwegian Sea Exchange; Phosphate; Pressure, water; Salinity; Scotia; Scotia87/10; Scotia87/10_228; Scotia87/10_229; Scotia87/10_230; Scotia87/10_231; Scotia87/10_232; Scotia87/10_233; Scotia87/10_234; Scotia87/10_235; Scotia87/10_236; Scotia87/10_237; Scotia87/10_238; Scotia87/10_239; Scotia87/10_240; Scotia87/10_241; Scotia87/10_242; Scotia87/10_243; Scotia87/10_244; Scotia87/10_245; Scotia87/10_246; Scotia87/10_247; Scotia87/10_248; Scotia87/10_249; Silicate; South Atlantic Ocean; Temperature, water
    Type: Dataset
    Format: text/tab-separated-values, 677 data points
    Location Call Number Expected Availability
    BibTip Others were also interested in ...
    DATA PANGAEA
  • 91
    facet.materialart.
    Unknown
    Physical oceanography during cruise Scotia87/6 (2007)
    PANGAEA
    In:  Marine Laboratory, Department of Agriculture and Fisheries for Scotland, Aberdeen
    Details
    Publication Date: 2023-03-13
    Keywords: CTD/Rosette; CTD-RO; Date/Time of event; DEPTH, water; Elevation of event; Event label; Latitude of event; Longitude of event; NANSEN; North Atlantic and Norwegian Sea Exchange; Pressure, water; Salinity; Scotia; Scotia87/6; Scotia87/6_143; Scotia87/6_146; Scotia87/6_147; Scotia87/6_149; Scotia87/6_150; Scotia87/6_151; South Atlantic Ocean; Temperature, water
    Type: Dataset
    Format: text/tab-separated-values, 18 data points
    Location Call Number Expected Availability
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    DATA PANGAEA
  • 92
    facet.materialart.
    Unknown
    Hydrochemistry measured on water bottle samples during cruise Tydeman86/4 (2007)
    PANGAEA
    In:  NATO Undersea Research Centre, La Spezia
    Details
    Publication Date: 2023-03-13
    Keywords: Chlorophyll total; CTD/Rosette; CTD-RO; Date/Time of event; DEPTH, water; Elevation of event; Event label; Latitude of event; Longitude of event; NANSEN; North Atlantic and Norwegian Sea Exchange; Norwegian Sea; Oxygen; Pressure, water; Salinity; Silicate; South Atlantic Ocean; Temperature, water; Tydeman; Tydeman86/4; Tydeman86/4_001; Tydeman86/4_002; Tydeman86/4_003; Tydeman86/4_004; Tydeman86/4_005; Tydeman86/4_006; Tydeman86/4_007; Tydeman86/4_008; Tydeman86/4_009; Tydeman86/4_010; Tydeman86/4_011; Tydeman86/4_012; Tydeman86/4_013; Tydeman86/4_014; Tydeman86/4_015; Tydeman86/4_016; Tydeman86/4_017; Tydeman86/4_018; Tydeman86/4_019; Tydeman86/4_020; Tydeman86/4_021; Tydeman86/4_022; Tydeman86/4_023; Tydeman86/4_024; Tydeman86/4_025; Tydeman86/4_026; Tydeman86/4_027; Tydeman86/4_028; Tydeman86/4_029; Tydeman86/4_030; Tydeman86/4_031; Tydeman86/4_032; Tydeman86/4_033; Tydeman86/4_034; Tydeman86/4_035; Tydeman86/4_036; Tydeman86/4_037; Tydeman86/4_038; Tydeman86/4_039; Tydeman86/4_040; Tydeman86/4_041; Tydeman86/4_042; Tydeman86/4_043; Tydeman86/4_044; Tydeman86/4_045; Tydeman86/4_046; Tydeman86/4_047; Tydeman86/4_048; Tydeman86/4_049; Tydeman86/4_050; Tydeman86/4_051; Tydeman86/4_052; Tydeman86/4_053; Tydeman86/4_054; Tydeman86/4_055; Tydeman86/4_056; Tydeman86/4_057; Tydeman86/4_058; Tydeman86/4_059; Tydeman86/4_060; Tydeman86/4_061; Tydeman86/4_062; Tydeman86/4_063; Tydeman86/4_064; Tydeman86/4_065; Tydeman86/4_066; Tydeman86/4_067; Tydeman86/4_068; Tydeman86/4_069; Tydeman86/4_070; Tydeman86/4_071; Tydeman86/4_072; Tydeman86/4_073; Tydeman86/4_074; Tydeman86/4_075; Tydeman86/4_076; Tydeman86/4_077; Tydeman86/4_078; Tydeman86/4_079; Tydeman86/4_080; Tydeman86/4_081; Tydeman86/4_082; Tydeman86/4_083; Tydeman86/4_084; Tydeman86/4_085; Tydeman86/4_086; Tydeman86/4_087; Tydeman86/4_088; Tydeman86/4_089; Tydeman86/4_090; Tydeman86/4_091; Tydeman86/4_092; Tydeman86/4_093; Tydeman86/4_094; Tydeman86/4_095; Tydeman86/4_096; Tydeman86/4_097; Tydeman86/4_098; Tydeman86/4_099; Tydeman86/4_100; Tydeman86/4_101; Tydeman86/4_102; Tydeman86/4_103; Tydeman86/4_104; Tydeman86/4_105; Tydeman86/4_106; Tydeman86/4_107; Tydeman86/4_108; Tydeman86/4_109; Tydeman86/4_110; Tydeman86/4_111; Tydeman86/4_112; Tydeman86/4_113; Tydeman86/4_114; Tydeman86/4_115; Tydeman86/4_116; Tydeman86/4_117; Tydeman86/4_118; Tydeman86/4_119; Tydeman86/4_120; Tydeman86/4_121; Tydeman86/4_122; Tydeman86/4_123; Tydeman86/4_124; Tydeman86/4_125; Tydeman86/4_126; Tydeman86/4_127; Tydeman86/4_128; Tydeman86/4_129; Tydeman86/4_130; Tydeman86/4_131; Tydeman86/4_132; Tydeman86/4_133; Tydeman86/4_134; Tydeman86/4_135; Tydeman86/4_136; Tydeman86/4_137; Tydeman86/4_138; Tydeman86/4_139; Tydeman86/4_140; Tydeman86/4_141; Tydeman86/4_142; Tydeman86/4_143; Tydeman86/4_144
    Type: Dataset
    Format: text/tab-separated-values, 6723 data points
    Location Call Number Expected Availability
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    DATA PANGAEA
  • 93
    facet.materialart.
    Unknown
    Physical oceanography and hydrochemistry during Lev Titov cruise LT86/1 (2007)
    PANGAEA
    In:  Hydrometeorological Observatory of Klaipéda
    Details
    Publication Date: 2023-03-14
    Keywords: Baltic Sea; Chlorophyll total; CTD/Rosette; CTD-RO; Date/Time of event; DEPTH, water; Elevation of event; Event label; Latitude of event; Lev Titov; Longitude of event; LT86/1; LT86/1_1; LT86/1_10; LT86/1_100; LT86/1_101; LT86/1_102; LT86/1_103; LT86/1_104; LT86/1_105; LT86/1_106; LT86/1_107; LT86/1_108; LT86/1_109; LT86/1_11; LT86/1_110; LT86/1_111; LT86/1_112; LT86/1_113; LT86/1_114; LT86/1_115; LT86/1_116; LT86/1_117; LT86/1_118; LT86/1_119; LT86/1_12; LT86/1_120; LT86/1_121; LT86/1_122; LT86/1_123; LT86/1_124; LT86/1_125; LT86/1_126; LT86/1_127; LT86/1_128; LT86/1_129; LT86/1_13; LT86/1_130; LT86/1_131; LT86/1_132; LT86/1_133; LT86/1_134; LT86/1_135; LT86/1_136; LT86/1_137; LT86/1_138; LT86/1_139; LT86/1_14; LT86/1_140; LT86/1_141; LT86/1_142; LT86/1_144; LT86/1_145; LT86/1_146; LT86/1_147; LT86/1_148; LT86/1_149; LT86/1_15; LT86/1_150; LT86/1_151; LT86/1_152; LT86/1_153; LT86/1_154; LT86/1_155; LT86/1_156; LT86/1_157; LT86/1_158; LT86/1_159; LT86/1_16; LT86/1_160; LT86/1_161; LT86/1_162; LT86/1_163; LT86/1_164; LT86/1_165; LT86/1_166; LT86/1_167; LT86/1_168; LT86/1_169; LT86/1_17; LT86/1_170; LT86/1_171; LT86/1_172; LT86/1_173; LT86/1_174; LT86/1_175; LT86/1_176; LT86/1_177; LT86/1_178; LT86/1_179; LT86/1_18; LT86/1_180; LT86/1_181; LT86/1_182; LT86/1_183; LT86/1_184; LT86/1_185; LT86/1_186; LT86/1_187; LT86/1_188; LT86/1_189; LT86/1_19; LT86/1_190; LT86/1_191; LT86/1_192; LT86/1_193; LT86/1_194; LT86/1_195; LT86/1_196; LT86/1_197; LT86/1_198; LT86/1_199; LT86/1_2; LT86/1_20; LT86/1_200; LT86/1_201; LT86/1_202; LT86/1_203; LT86/1_204; LT86/1_205; LT86/1_206; LT86/1_207; LT86/1_208; LT86/1_209; LT86/1_21; LT86/1_210; LT86/1_211; LT86/1_212; LT86/1_213; LT86/1_214; LT86/1_215; LT86/1_216; LT86/1_217; LT86/1_218; LT86/1_22; LT86/1_220; LT86/1_221; LT86/1_222; LT86/1_223; LT86/1_224; LT86/1_225; LT86/1_226; LT86/1_227; LT86/1_228; LT86/1_229; LT86/1_23; LT86/1_230; LT86/1_232; LT86/1_233; LT86/1_234; LT86/1_235; LT86/1_236; LT86/1_237; LT86/1_238; LT86/1_239; LT86/1_24; LT86/1_240; LT86/1_241; LT86/1_242; LT86/1_243; LT86/1_244; LT86/1_245; LT86/1_246; LT86/1_247; LT86/1_248; LT86/1_249; LT86/1_25; LT86/1_250; LT86/1_251; LT86/1_252; LT86/1_253; LT86/1_254; LT86/1_255; LT86/1_256; LT86/1_257; LT86/1_258; LT86/1_259; LT86/1_26; LT86/1_260; LT86/1_261; LT86/1_262; LT86/1_263; LT86/1_264; LT86/1_266; LT86/1_267; LT86/1_268; LT86/1_269; LT86/1_27; LT86/1_270; LT86/1_271; LT86/1_272; LT86/1_273; LT86/1_274; LT86/1_275; LT86/1_276; LT86/1_277; LT86/1_278; LT86/1_279; LT86/1_28; LT86/1_280; LT86/1_281; LT86/1_282; LT86/1_283; LT86/1_284; LT86/1_285; LT86/1_286; LT86/1_287; LT86/1_288; LT86/1_289; LT86/1_29; LT86/1_290; LT86/1_291; LT86/1_292; LT86/1_293; LT86/1_294; LT86/1_295; LT86/1_296; LT86/1_297; LT86/1_299; LT86/1_3; LT86/1_30; LT86/1_300; LT86/1_301; LT86/1_302; LT86/1_303; LT86/1_304; LT86/1_305; LT86/1_306; LT86/1_307; LT86/1_308; LT86/1_309; LT86/1_31; LT86/1_310; LT86/1_311; LT86/1_312; LT86/1_313; LT86/1_314; LT86/1_315; LT86/1_316; LT86/1_317; LT86/1_318; LT86/1_319; LT86/1_32; LT86/1_320; LT86/1_321; LT86/1_322; LT86/1_323; LT86/1_324; LT86/1_325; LT86/1_326; LT86/1_327; LT86/1_328; LT86/1_329; LT86/1_33; LT86/1_330; LT86/1_331; LT86/1_332; LT86/1_333; LT86/1_334; LT86/1_335; LT86/1_336; LT86/1_337; LT86/1_338; LT86/1_339; LT86/1_34; LT86/1_340; LT86/1_341; LT86/1_342; LT86/1_343; LT86/1_344; LT86/1_345; LT86/1_346; LT86/1_347; LT86/1_348; LT86/1_349; LT86/1_35; LT86/1_350; LT86/1_351; LT86/1_352; LT86/1_353; LT86/1_354; LT86/1_355; LT86/1_356; LT86/1_357; LT86/1_358; LT86/1_359; LT86/1_36; LT86/1_360; LT86/1_361; LT86/1_362; LT86/1_363; LT86/1_364; LT86/1_365; LT86/1_37; LT86/1_38; LT86/1_39; LT86/1_4; LT86/1_40; LT86/1_41; LT86/1_42; LT86/1_43; LT86/1_44; LT86/1_45; LT86/1_46; LT86/1_47; LT86/1_48; LT86/1_49; LT86/1_5; LT86/1_50; LT86/1_51; LT86/1_52; LT86/1_53; LT86/1_54; LT86/1_55; LT86/1_56; LT86/1_57; LT86/1_58; LT86/1_59; LT86/1_6; LT86/1_60; LT86/1_61; LT86/1_62; LT86/1_63; LT86/1_64; LT86/1_65; LT86/1_66; LT86/1_67; LT86/1_68; LT86/1_69; LT86/1_7; LT86/1_70; LT86/1_71; LT86/1_72; LT86/1_73; LT86/1_74; LT86/1_75; LT86/1_76; LT86/1_77; LT86/1_78; LT86/1_79; LT86/1_8; LT86/1_80; LT86/1_81; LT86/1_82; LT86/1_83; LT86/1_84; LT86/1_85; LT86/1_86; LT86/1_87; LT86/1_88; LT86/1_89; LT86/1_9; LT86/1_90; LT86/1_91; LT86/1_92; LT86/1_93; LT86/1_94; LT86/1_95; LT86/1_96; LT86/1_97; LT86/1_98; LT86/1_99; Nitrate; Nitrite; Oxygen; pH; Phosphate; Pressure, water; Salinity; Silicate; Temperature, water
    Type: Dataset
    Format: text/tab-separated-values, 78945 data points
    Location Call Number Expected Availability
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    DATA PANGAEA
  • 94
    facet.materialart.
    Unknown
    Chlorophyll and phaeopigments in surface sediment profile PE236-13 (2007)
    PANGAEA
    In:  Jacobs University Bremen gGmbH
    Details
    Publication Date: 2023-03-13
    Keywords: Chlorophyll a; Chlorophyll a, standard deviation; Chlorophyll pigment equivalents; Chloroplastic pigment equivalents, standard deviation; Depth, bottom/max; DEPTH, sediment/rock; Depth, top/min; European Margin Strata Formation; EuroSTRATAFORM; HERMES; Hotspot Ecosystem Research on the Margins of European Seas; MUC; MultiCorer; Nazare Canyon; PE204 PE218 PE225 PE236; PE236-13; PE2xx; Phaeopigments; Phaeopigments, standard deviation; Replicates
    Type: Dataset
    Format: text/tab-separated-values, 90 data points
    Location Call Number Expected Availability
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    DATA PANGAEA
  • 95
    facet.materialart.
    Unknown
    Profile of sediment echo sounding during POLARSTERN cruise ARK-XIV/1a with links to ParaSound data files (2007)
    PANGAEA
    In:  Alfred Wegener Institute, Helmholtz Centre for Polar and Marine Research, Bremerhaven
    Details
    Publication Date: 2023-03-16
    Keywords: ARK-XIV/1a; AWI_Paleo; CT; DATE/TIME; LATITUDE; LONGITUDE; Paleoenvironmental Reconstructions from Marine Sediments @ AWI; ParaSound (Atlas Hydrographic); Polarstern; PS51; PS51/1a-track; Underway cruise track measurements; Uniform resource locator/link to raw data file
    Type: Dataset
    Format: text/tab-separated-values, 3373 data points
    Location Call Number Expected Availability
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    DATA PANGAEA
  • 96
    facet.materialart.
    Unknown
    Profile of sediment echo sounding during POLARSTERN cruise ANT-XV/2 with links to ParaSound data files (2007)
    PANGAEA
    In:  Alfred Wegener Institute, Helmholtz Centre for Polar and Marine Research, Bremerhaven
    Details
    Publication Date: 2023-03-16
    Keywords: ANT-XV/2; AWI_Paleo; CT; DATE/TIME; LATITUDE; LONGITUDE; Paleoenvironmental Reconstructions from Marine Sediments @ AWI; Polarstern; PS47; PS47/2-track; Underway cruise track measurements; Uniform resource locator/link to raw data file
    Type: Dataset
    Format: text/tab-separated-values, 6132 data points
    Location Call Number Expected Availability
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    DATA PANGAEA
  • 97
    facet.materialart.
    Unknown
    Time series of sea surface temperature off Huayquique in 2005, Chile (2007)
    PANGAEA
    In:  Institut de Recherche pour le Développement
    Details
    Publication Date: 2023-03-16
    Keywords: CENSOR; Climate variability and El Niño Southern Oscillation; DATE/TIME; Huayquique; Huayquique_temp; Huayquique, Chile; Research station; Temperature, water; Temperature recorder; TEMP-R
    Type: Dataset
    Format: text/tab-separated-values, 8900 data points
    Location Call Number Expected Availability
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    DATA PANGAEA
  • 98
    facet.materialart.
    Unknown
    Time series of sea surface temperature off Huayquique in 2004, Chile (2007)
    PANGAEA
    In:  Institut de Recherche pour le Développement
    Details
    Publication Date: 2023-03-16
    Keywords: CENSOR; Climate variability and El Niño Southern Oscillation; DATE/TIME; Huayquique; Huayquique_temp; Huayquique, Chile; Research station; Temperature, water; Temperature recorder; TEMP-R
    Type: Dataset
    Format: text/tab-separated-values, 16878 data points
    Location Call Number Expected Availability
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    DATA PANGAEA
  • 99
    facet.materialart.
    Unknown
    Time series of sea surface temperature off Pocoma at station 1 in 2003, Peru (2007)
    PANGAEA
    In:  Institut de Recherche pour le Développement
    Details
    Publication Date: 2023-03-16
    Keywords: CENSOR; Climate variability and El Niño Southern Oscillation; DATE/TIME; Pocoma; Pocoma, Peru; Pocoma1_temp; Research station; Temperature, water; Temperature recorder; TEMP-R
    Type: Dataset
    Format: text/tab-separated-values, 23445 data points
    Location Call Number Expected Availability
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    DATA PANGAEA
  • 100
    facet.materialart.
    Unknown
    Landings of different marine species in 1992, Peru (2007)
    PANGAEA
    In:  Ministerio de la Producción
    Details
    Publication Date: 2023-03-16
    Keywords: CENSOR; Climate variability and El Niño Southern Oscillation; DATE/TIME; Historical_Peru; Landings in mass; MON; Monitoring; Peru_landing; Peru Continental Margin; Species; Species, common name
    Type: Dataset
    Format: text/tab-separated-values, 129 data points
    Location Call Number Expected Availability
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    DATA PANGAEA
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