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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Network Common Data Form - 37.2 MB - MD5: 023773035a91d4e44d7c4a3a2435e79e
Uploaded with pyDataverse 2025-06-01 13:48
Comma Separated Values - 80.5 KB - MD5: 10cc9b625634831387f03afc45e32c89
Uploaded with pyDataverse 2025-06-01 13:48
Network Common Data Form - 398.8 KB - MD5: 98e8f600195fcc19564b87766c46d034
Uploaded with pyDataverse 2025-06-01 13:48
Comma Separated Values - 2.3 MB - MD5: c978a7f0ff828a8c4d9bd80ab2e19155
Uploaded with pyDataverse 2025-06-01 14:29
Network Common Data Form - 2.0 MB - MD5: 9f87e67ad6fa496558689ff60425f0f1
Uploaded with pyDataverse 2025-06-01 14:29
Comma Separated Values - 50.9 MB - MD5: 914718dbf1fc98c62b42a1695d14f525
Uploaded with pyDataverse 2025-06-01 14:28
Network Common Data Form - 33.6 MB - MD5: a845a1429e7ef1170524bac087340807
Uploaded with pyDataverse 2025-06-01 14:28
Comma Separated Values - 79.6 KB - MD5: a775550f074199accacc55641a055918
Uploaded with pyDataverse 2025-06-01 14:29
Network Common Data Form - 398.0 KB - MD5: c2ee6e8344c6aa3d99099c47ca43a66b
Uploaded with pyDataverse 2025-06-01 14:30
Comma Separated Values - 13.0 KB - MD5: d742fa54d5da181bce42b5eb104a8235
Uploaded with pyDataverse 2025-06-01 15:08
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