In 2007, Denmark launched the Programme for Monitoring of the Greenland Ice Sheet (PROMICE) to assess changes in the mass balance of the ice sheet. The two major contributors to the ice sheet mass loss are surface melt and a larger production of icebergs through faster ice flow. PROMICE is focused on both processes. Ice movement and discharge is tracked by satellites and GPSs. The surface mass balance is monitored by a network of weather stations in the melt zone of the ice sheet, providing ground truth data to calibrate mass budget models.

The Greenland Climate Network (GC-Net) was established in 1995 by Prof. Konrad Steffen at CIRES, to obtain knowledge of the mass gain and climatology of the ice sheet. The programme was funded by the USA until 2020, at which point Denmark assumed responsibility for the operation and maintenance of the weather station network. The snowfall and climatology are monitored by a network of weather stations in the accumulation zone of the ice sheet, supplemented by satellite-derived data products.

Together, the two monitoring programmes deliver data about the mass balance of the Greenland ice sheet in near real-time. Explore our project dataverses and datasets below.
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Unknown - 19.5 MB - MD5: 0896d1ca40ecce0665aa0df318e0fc38
Unknown - 36.3 MB - MD5: cc99c09ea7c29c47c603dbd1b14ef000
Markdown Text - 12.0 KB - MD5: b362644147ec5bc02e0a02217da0537e
Apr 14, 2026 - Ice velocity
Solgaard, Anne Munck; Kusk, Anders, 2026, "Greenland Ice Velocity from Sentinel-1 Edition 5", https://doi.org/10.22008/FK2/K70OPK, GEUS Dataverse, V6
Greenland Ice Velocity from Sentinel-1 The PROMICE Ice Velocity product is a timeseries of Greenland Ice Sheet velocity mosaics based on ESA Sentinel-1 SAR offset tracking. The product spans the period January 2016 to present. Spatial resolution: 200 m Temporal resolution: A new...
Network Common Data Form - 345.3 MB - MD5: 9a4044f9499e38f6199cdb96a183cde9
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PNG Image - 4.0 MB - MD5: 2303943abaaadde2d7fde793cbada9f8
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Network Common Data Form - 343.6 MB - MD5: 138a8a50c112bfb24d46ec4fb291bbad
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PNG Image - 7.6 MB - MD5: bd8596c84d86f2a71364c15c2d08275f
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Apr 8, 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, V36
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: a58cf9318064c77d9a6b7ca746400b37
Uploaded with pyDataverse 2026-04-01 16:00
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