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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21 to 30 of 4,593 Results
Plain Text - 6.8 MB - MD5: 27368adfeabf203daf950101fc43b084
Sector discharge, coverage, and error. Git hash: d5645a3
Sep 8, 2025 - Ice velocity
Solgaard, Anne Munck; Kusk, Anders, 2024, "Greenland Ice Velocity from Sentinel-1 Edition 4", https://doi.org/10.22008/FK2/LFZLZN, GEUS Dataverse, V42
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 - 997.5 MB - MD5: c812babdbcf353c7350b4ec8eae130da
Data
PNG Image - 4.5 MB - MD5: 4ea721b683c3386e001d4422eb584951
Image
Sep 1, 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.; Prinz, R., 2022, "PROMICE and GC-Net automated weather station data in Greenland", https://doi.org/10.22008/FK2/IW73UU, GEUS Dataverse, V27
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 - 101.1 KB - MD5: be0141e96439ee84b892a169e3e94cfa
Uploaded with pyDataverse 2025-09-01 15:02
Comma Separated Values - 3.4 KB - MD5: 2350f70c4f2370a7282a7acb05b03c16
Uploaded with pyDataverse 2025-09-01 15:01
Comma Separated Values - 6.1 KB - MD5: a5d435d51c060b2a0751258ae1312f60
Uploaded with pyDataverse 2025-09-01 15:02
Comma Separated Values - 2.8 MB - MD5: 595649b738b606b4c8d35c8145cfd973
Uploaded with pyDataverse 2025-09-01 14:35
Network Common Data Form - 2.0 MB - MD5: 7162f80da73ceb219554302b37578523
Uploaded with pyDataverse 2025-09-01 14:35
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