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  • Data  (361)
  • 2020-2023  (1)
  • 2015-2019  (354)
  • 1985-1989  (6)
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  • 1
    Publication Date: 2021-09-02
    Description: Abstract
    Description: GOCO06s is a satellite-only, global gravity field model up to degree and order 300, with secular and annual variations up to degree and order 120. It was produced by the GOCO Team (Technical University of Munich, University of Bonn, Graz University of Technology, Austrian Academy of Sciences, University of Bern) and is based on 1,160,000,000 observations from 19 satellites. The contributing satellite mission are: GOCE (TIM6 gradiometer observations), GRACE (ITSG-Grace2018s), kinematic orbits from Swarm A+B+C, TerraSAR-X, TanDEM-X, CHAMP, GRACE and GOCE, and SLR observations to LAGEOS, LAGEOS 2, Starlette, Stella, AJISAI, LARES, LARETS, Etalon 1/2 and BLITS. The combination of the individual data sources is performed on the basis of the full systems of normal equations, where the relative weighting between each constituent is determined by variance component estimation. In order to account for the polar gap of GOCE, the solution is Kaula-regularized after degree and order 150.The model is available via the ICGEM Service (Ince et al., 2019)
    Description: TechnicalInfo
    Description: PARAMETERS:modelname GOCO06sproduct_type gravity_fieldearth_gravity_constant 3.9860044150e+14radius 6.3781363000e+06max_degree 300norm fully_normalizedtide_system zero_tideerrors formal
    Keywords: ICGEM ; global gravitational model ; GOCO ; GOCE ; GRACE ; EARTH SCIENCE 〉 SOLID EARTH 〉 GRAVITY/GRAVITATIONAL FIELD 〉 GRAVITATIONAL FIELD ; EARTH SCIENCE 〉 SOLID EARTH 〉 GEODETICS 〉 GEOID CHARACTERISTICS
    Type: Dataset
    Format: 4 Files
    Format: application/octet-stream
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  • 2
    Publication Date: 2022-11-24
    Description: Abstract
    Description: This dataset was collected during field-based monitoring in the Kali Gandaki River catchment be-tween the years 2013 and 2017. The monitoring aims to understand the hydrological fluxes and feedback with weathering and erosion processes across the mountain range. The Kali Gandaki River sources its water in the North and traverses through the Himalayan Mountain Range, along a north-south transect. The field-based monitoring comprises targeted field campaigns to revisit locations at different years and seasons in order to constrain the annual and intra-annual variability. This is complemented by permanent installations and routine river and rain sampling at two loca-tions, Lete and Purtighat. Lete is situated at the orographic barrier, at ~2500 m asl. and the up-stream catchment integrates the northern part of the Himalayan Range as well as some of the southern edge of the Tibetan Plateau. Purtighat is located further south and integrates the north-ern part as well as south-facing flanks of the Higher and Lower Himalayas. At both locations, auto-mated river monitoring is installed as well as a trained station ward for daily routine sampling. At Lete, rainfall samples are obtained on a daily resolution during the monsoon. This sampling was not feasible at Purtighat for logistic reasons. Instead, rain was sampled daily in Kathmandu. This dataset contains five tables of stable water isotope analysis. One containing grab samples from the Kali Gandaki river in its vicinities and 4 tables with time series sampling from the Kali Gandaki River and from rainfall.
    Description: Methods
    Description: Grab sampling: Grab samples were obtained from all hydrological compartments (spring, river, tributary, snow, ice, and rain) in the Kali Gandaki catchment and its surroundings. The samples were taken during repeated field campaigns covering all seasons during the years 2013 to 2016. Samples were filtered in the field and stored 30ml Nalgene bottles. Snow and ice samples were melted at ambient temperatures before filtering and storing. Stable water isotope time series of rainfall: Samples were collected by a local, trained station ward, during rainfall periods 2016 and 2017. Samples were recuperated always between 8 and 9 o’clock local time (GMT+5:45) if sufficient rainwater was accumulated. At both locations Lete and Kathmandu we used Palmex Rain Sampler RS1 (Gröning et al., 2012). The following isotope ratios, expressed as δ values with VSMOW as a standard, were measured: δ18O and δ2H. Stable water isotope time series of river water: Samples were collected by a local, trained station ward, between the 10th of June 2015 and October 2018 daily during the monsoon (June to Septem-ber) and bi-weekly (October to May) during the dry season. Sampling time was always between 8 and 9 o’clock local time (GMT+5:45). Samples were typically analyzed for stable water isotopic com-position with weekly resolution. The following isotope ratios, expressed as δ values with VSMOW as a standard, were measured: δ18O and δ2H. River time series samples in Purtighat were first obtained at Mirmi Hydropower Intake, upstream of the confluence with Andhi Khola from a suspension bridge in the middle of the river. The sampling location was later moved upstream to Purthighat village, roughly 10km upstream with no major tributary in between.
    Keywords: rainfall isotopes ; Precipitation ; Nepal ; Himalayas ; perturbations ; Kali Gandaki River ; time series ; groundwater ; monsoon ; pre-monsoon ; river isotopes ; climate 〉 climate type 〉 continental climate 〉 mountain climate ; EARTH SCIENCE 〉 ATMOSPHERE 〉 PRECIPITATION 〉 RAIN ; EARTH SCIENCE 〉 CLIMATE INDICATORS 〉 PALEOCLIMATE INDICATORS 〉 OXYGEN ISOTOPE ANALYSIS ; EARTH SCIENCE 〉 SOLID EARTH 〉 GEOCHEMISTRY 〉 GEOCHEMICAL PROPERTIES 〉 ISOTOPES ; EARTH SCIENCE 〉 SOLID EARTH 〉 GEOMORPHIC LANDFORMS/PROCESSES 〉 FLUVIAL LANDFORMS 〉 STREAM ; EARTH SCIENCE 〉 TERRESTRIAL HYDROSPHERE 〉 WATER QUALITY/WATER CHEMISTRY 〉 STABLE ISOTOPES ; hydrosphere 〉 hydrologic cycle 〉 hydrologic balance 〉 runoff 〉 drainage 〉 drainage system 〉 natural drainage system ; hydrosphere 〉 water body 〉 aquifer ; land 〉 natural area 〉 terrestrial area 〉 mountainous area 〉 mountain 〉 high mountain ; land 〉 world 〉 Asia 〉 Southern Asia ; science 〉 natural science 〉 water science 〉 hydrology
    Type: Dataset , Dataset
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  • 3
    Publication Date: 2023-12-01
    Description: Abstract
    Description: Although the knowledge of the gravity of the Earth has improved considerably with CHAMP, GRACE and GOCE satellite missions, the geophysical community has identified the need for the continued monitoring of its time-variable component with the purpose of estimating the hydrological and glaciological yearly cycles and long-term trends. Currently, the GRACE-FO satellites are the sole provider of this data, while previously the GRACE mission collected these data for 15 years. Between the GRACE and GRACE-FO data periods lies a gap spanning from July 2017 to May 2018, while the Swarm satellites have collected gravimetric data with its GPS receivers since December 2013. This project aims at providing high-quality gravity field models from Swarm data that constitute an alternative and independent source of gravimetric data, which could help alleviate the consequences of the 10-month gap between GRACE and GRACE-FO, as well as the short gaps in the existing GRACE and GRACE-FO monthly time series. The geodetic community has realized that the combination of the different gravity field solutions is superior to any individual model. This project exploits this fact and delivers to the highest quality monthly-independent gravity field models, resulting from the combination of 4 different gravity field estimation approaches. All solutions are unconstrained and estimated independently from month to month. Preliminary comparison with GRACE data has demonstrated that the signal in the Swarm gravity field models is restricted to degrees 12-15 and below, while the temporal correlations decrease considerably above degree 10. The 750km smoothed models are suitable to retrieve the global annual temporal variations of Earth's gravity field and the agreement with GRACE over large basins (e.g. Amazon, Congo-Zambezi, Ganges-Brahmaputra) is within 1cm RMS in terms of Equivalent Water Height. The global RMS relative to a bias, trend, an annual and semi-annual model derived from GRACE over deep ocean areas (those roughly 1000km from shorelines) is under 1mm geoid height during periods of low ionospheric activity. More information about this project can be found at https://www.researchgate.net/project/Multi-approach-gravity-field-models-from-Swarm-GPS-data and ESA's Swarm DISC (the Data, Innovation and Science Cluster) Website (https://earth.esa.int/web/guest/missions/esa-eo-missions/swarm/activities/scientific-projects/disc#MAGF). This project is funded by ESA via the Swarm DISC, Sub-Contract No. SW-CO-DTU-GS-111.
    Keywords: Swarm Satellites ; Gravity Field ; Mass Transport Processes ; GPS ; Kinematic orbit ; ICGEM ; COST-G ; International Combination Service for Time-variable Gravity Field Solutions ; EARTH SCIENCE 〉 TERRESTRIAL HYDROSPHERE ; EARTH SCIENCE 〉 SOLID EARTH 〉 GRAVITY/GRAVITATIONAL FIELD 〉 GRAVITY ; EARTH SCIENCE 〉 ATMOSPHERE 〉 ALTITUDE 〉 GEOPOTENTIAL HEIGHT ; EARTH SCIENCE 〉 SOLID EARTH 〉 GEODETICS 〉 GEOID CHARACTERISTICS ; science 〉 geography 〉 geodesy
    Type: Dataset
    Format: 2 Files
    Format: application/octet-stream
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  • 4
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    PANGAEA
    In:  Supplement to: Münch, Thomas; Kipfstuhl, Sepp; Freitag, Johannes; Meyer, Hanno; Laepple, Thomas (2017): Constraints on post-depositional isotope modifications in East Antarctic firn from analysing temporal changes of isotope profiles. The Cryosphere, 11(5), 2175-2188, https://doi.org/10.5194/tc-11-2175-2017
    Publication Date: 2023-03-16
    Description: The isotopic composition of water in ice sheets is extensively used to infer past climate changes. In low-accumulation regions their interpretation is however challenged by poorly constrained effects that may influence the initial isotope signal during and after deposition of the snow. This is reflected in snow-pit isotope data from Kohnen Station, Antarctica, which exhibit a seasonal cycle but also strong inter-annual variations that contradict local temperature observations. These inconsistencies persist even after averaging many profiles and are thus not explained by local stratigraphic noise. Previous studies have suggested that post-depositional processes may significantly influence the isotopic composition of East Antarctic firn. Here, we investigate the importance of post-depositional processes within the open-porous firn (〉 10 cm depth) at Kohnen Station by separating spatial from temporal variability. To this end, we analyse 22 isotope profiles obtained from two snow trenches and examine the temporal isotope modifications by comparing the new with published trench data extracted 2 years earlier. The initial isotope profiles undergo changes over time due to downward-advection, firn diffusion and densification in magnitudes consistent with independent estimates. Beyond that, we find further modifications of the original isotope record to be unlikely, or small in magnitude (〈〈 1 per mil RMSD). These results show that the discrepancy between local temperatures and isotopes most likely originates from spatially coherent processes prior to or during deposition, such as precipitation intermittency or systematic isotope modifications acting on drifting or loose surface snow.
    Keywords: AWI_Envi; AWI_Glac; Glaciology @ AWI; Polar Terrestrial Environmental Systems @ AWI
    Type: Dataset
    Format: application/zip, 2 datasets
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  • 5
    Publication Date: 2023-03-16
    Keywords: AWI_Envi; Comment; Conductivity; Date/Time of event; DEPTH, water; Deuterium excess; Elevation of event; Event label; Funadomari Bay; Hime-numa Pond; Kushu Lake; Kushu Lake outflow; Latitude of event; Location of event; Longitude of event; Osawa River; Oshonnai River; Oxygen saturation; pH; Polar Terrestrial Environmental Systems @ AWI; RI14-01; RI14-02; RI14-03; RI14-04; RI14-07; RI14-09; RI14-10; RI14-11; RI14-12; RI14-13; RI14-14; RI14-15; Temperature, water; Water sample; WS; δ18O, standard deviation; δ18O, water; δ Deuterium, standard deviation; δ Deuterium, water
    Type: Dataset
    Format: text/tab-separated-values, 97 data points
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  • 6
    Publication Date: 2023-03-16
    Keywords: AWI_Envi; AWI_PerDyn; AWI_Perma; File content; File format; File name; File size; Herschel_Island_Watersheds_Survey; MULT; Multiple investigations; Permafrost Research; Permafrost Research (Periglacial Dynamics) @ AWI; Polar Terrestrial Environmental Systems @ AWI; Uniform resource locator/link to file
    Type: Dataset
    Format: text/tab-separated-values, 10 data points
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  • 7
    Publication Date: 2023-03-16
    Keywords: AWI_Envi; AWI_PerDyn; AWI_Perma; DATE/TIME; Discharge; Herschel Island, Yukon Territory, Canada; Ice_Creek_East; Permafrost Research; Permafrost Research (Periglacial Dynamics) @ AWI; Polar Terrestrial Environmental Systems @ AWI
    Type: Dataset
    Format: text/tab-separated-values, 4662 data points
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  • 8
    Publication Date: 2023-03-16
    Keywords: Aluminium; AWI_Envi; AWI_PerDyn; AWI_Perma; Barium 2+; Bicarbonate ion; Bromide; Calcium; Carbon, organic, dissolved; Carbon, organic, particulate; Chloride; Comment; Conductivity, electrical; DATE/TIME; Deuterium excess; Fluoride; Herschel_Island_Watersheds_Survey; Iron; LATITUDE; LONGITUDE; Magnesium; Manganese; MULT; Multiple investigations; Nitrate; Nitrogen, total dissolved; Permafrost Research; Permafrost Research (Periglacial Dynamics) @ AWI; pH; Phosphate; Phosphorus, total; Polar Terrestrial Environmental Systems @ AWI; Potassium; Sample code/label; Silicon; Sodium; Strontium 2+; Sulfate; Suspended sediment concentration; Temperature, water; Total dissolved solids; Turbidity (Formazin nephelometric unit); δ18O, water; δ Deuterium, water
    Type: Dataset
    Format: text/tab-separated-values, 5482 data points
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  • 9
    Publication Date: 2023-03-16
    Keywords: Automatic water sampler (ISCO 3700); AWI_Envi; AWI_PerDyn; AWI_Perma; AWS_ISCO; DATE/TIME; Discharge; Herschel Island, Yukon Territory, Canada; Ice_Creek_West; Permafrost Research; Permafrost Research (Periglacial Dynamics) @ AWI; Polar Terrestrial Environmental Systems @ AWI
    Type: Dataset
    Format: text/tab-separated-values, 8778 data points
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  • 10
    Publication Date: 2023-03-16
    Keywords: AGE; AWI_Envi; Calcium; Chlorine; COMPCORE; Composite Core; DEPTH, sediment/rock; Iron; Kushu_RK12; Polar Terrestrial Environmental Systems @ AWI; Potassium; Rebun Island, Japan; Silicon; Strontium; Titanium; Vanadium; X-ray fluorescence spectrometry (portable XRF)
    Type: Dataset
    Format: text/tab-separated-values, 13600 data points
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