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 - 715.9 KB - MD5: ec48f1dd93266e1c8d86f6faace77d0a
Uploaded with pyDataverse 2026-07-06 17:16
Comma Separated Values - 12.1 MB - MD5: fb40e12100dd13d34ba0f2f69895b4b9
Uploaded with pyDataverse 2026-07-06 17:15
Network Common Data Form - 8.0 MB - MD5: b9d543d1a098f07b5c9bb0b47f806323
Uploaded with pyDataverse 2026-07-06 17:14
Comma Separated Values - 17.7 KB - MD5: 4c4c18737683d5dac465494400addb72
Uploaded with pyDataverse 2026-07-06 17:15
Network Common Data Form - 341.3 KB - MD5: ef29bb1f08fc44c391ead76e604cea48
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Comma Separated Values - 2.3 MB - MD5: b4b0d2418a4eebb4c0cf9daabfc8633d
Uploaded with pyDataverse 2026-07-06 18:00
Network Common Data Form - 2.1 MB - MD5: 99e98c33f960d65384fd3d14efe14ca5
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Comma Separated Values - 61.6 MB - MD5: 2a8332cd84cd533a726000863022f49a
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Network Common Data Form - 40.8 MB - MD5: 754bd6cb5b659c47accc01dd815dd625
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Comma Separated Values - 82.0 KB - MD5: 0dd8cb39d2b6ca5921bb93408386cda7
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