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 - 1.0 MB - MD5: 904f6060cdfb3750bf7ae9d1853b013a
Markdown Text - 9.1 KB - MD5: 04591203a9994ffce362b592e070d87d
Jul 2, 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, V26
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 2025-07-01 15:04
Comma Separated Values - 3.4 KB - MD5: dc2651dc06feee39384e63a1746338b1
Uploaded with pyDataverse 2025-07-01 15:03
Comma Separated Values - 6.1 KB - MD5: 869cdff28cf3a2b77595b612cef3ea75
Uploaded with pyDataverse 2025-07-01 15:03
Comma Separated Values - 2.8 MB - MD5: d1bf2bed963f34cdcc35991e22bf04c2
Uploaded with pyDataverse 2025-07-01 14:37
Network Common Data Form - 2.0 MB - MD5: a2461188a0ade17b5dec5ecb864ca6b2
Uploaded with pyDataverse 2025-07-01 14:36
Comma Separated Values - 65.4 MB - MD5: edf4dddc3c147251ca6a48384f6af245
Uploaded with pyDataverse 2025-07-01 14:36
Network Common Data Form - 24.4 MB - MD5: c8794959689be589b9d649d7564942d4
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