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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Mar 3, 2026 - 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, V35
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: 71015ed8dce6541fb94cb31df280943d
Uploaded with pyDataverse 2026-03-03 16:10
Comma Separated Values - 2.9 KB - MD5: 13ce4e5612dac26df6c4f4e7a8a499a4
Uploaded with pyDataverse 2026-03-03 16:09
Comma Separated Values - 6.0 KB - MD5: 073328bdd206ac49b81b17c30585a628
Uploaded with pyDataverse 2026-03-03 16:10
Comma Separated Values - 13.9 KB - MD5: 7fb0a9cb4ec3469add48484503dab76d
Uploaded with pyDataverse 2026-03-03 16:09
Comma Separated Values - 2.8 MB - MD5: d386e727860cf98b28adb0e44daf4736
Uploaded with pyDataverse 2026-03-03 15:37
Network Common Data Form - 2.0 MB - MD5: 3769cd1274272f3a376b28a01cd774f5
Uploaded with pyDataverse 2026-03-03 15:37
Comma Separated Values - 67.7 MB - MD5: a689d4eb2807c84b178cc24514c1a37a
Uploaded with pyDataverse 2026-03-03 15:36
Network Common Data Form - 25.8 MB - MD5: 5f5d7d186b3178f66a6a503cadd65726
Uploaded with pyDataverse 2026-03-03 15:36
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