Studying the geological conditions and processes on land, by the coast and offshore to monitor natural resources and climate. Programme areas include studying the Greenland ice sheet, land and sea, climate change adaptation, earthquakes and seismology and palaeoclimate.

The Nature and climate programme includes contributions from the following departments at GEUS:
  • Geochemistry
  • Geophysics
  • Glaciology and Climate
  • Groundwater and Quaternary Geology Mapping
  • Hydrology
  • Marine Geology
  • Reservoir Geology
  • Stratigraphy

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171 to 180 of 26,142 Results
Comma Separated Values - 3.4 MB - MD5: b68e3828e6dbd19b13a6621d106e7b9f
Sector coverage. Git hash: 0f04be7b
Comma Separated Values - 9.2 MB - MD5: 4b7bd528a0f6847c2e052f18c518b8d7
Sector discharge. Git hash: 0f04be7b
Comma Separated Values - 9.6 MB - MD5: 92e058c071a9ba6d61224f9f15f30602
Sector error. Git hash: 0f04be7b
Plain Text - 6.9 MB - MD5: 160d07ac46b4962cac49a6d389333580
Sector discharge, coverage, and error. Git hash: 0f04be7b
Dec 4, 2025 - Automatic weather stations
How, P.; Lund, M.C.; Ahlstrøm, A.P.; Andersen, S.B.; Box, J.E.; Citterio, M.; Colgan, W.T.; Fausto, R.S.; Karlsson, N.B.; Jakobsen, J.; Jakobsgaard, H.T.; Larsen, S.H.; Mankoff, K.D.; Nielsen, R.B.; Rutishauser, A.; Shield, C.L.; Solgaard, A.M.; Stevens, I.T.; van As, D.; Vandecrux, B.; Abermann, J.; Bjørk, A.A.; Langley, K.; Lea, J.; Messerli, A.; Prinz, R., 2022, "PROMICE and GC-Net automated weather station data in Greenland", https://doi.org/10.22008/FK2/IW73UU, GEUS Dataverse, V32
PROMICE and GC-Net automated weather station (AWS) data in Greenland. The data is available either as csv or netcdf files. Station locations, installation (if necessary, decommission) date, location type (tundra, ice sheet, local glacier), station type (one or two levels of measu...
Adobe PDF - 101.6 KB - MD5: 1f584bdd48105172279b13ab1bcf9450
Uploaded with pyDataverse 2025-12-03 17:47
Comma Separated Values - 3.5 KB - MD5: 24b012ef110fda2ac76392cfe8a62f25
Uploaded with pyDataverse 2025-12-03 17:46
Comma Separated Values - 6.0 KB - MD5: e649b9c77d6cce2541ae0e0e9503c842
Uploaded with pyDataverse 2025-12-03 17:46
Comma Separated Values - 2.8 MB - MD5: fd5abd40115e1a5b1cf45fede23e4410
Uploaded with pyDataverse 2025-12-03 17:17
Network Common Data Form - 2.0 MB - MD5: c3a5e0c0cc6eb75ef3d31df49ccc1ebc
Uploaded with pyDataverse 2025-12-03 17:16
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