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 - 26.5 MB - MD5: 97c03678fe04a596e892291fa6c1addb
Uploaded with pyDataverse 2025-12-03 17:40
Comma Separated Values - 99.2 KB - MD5: 26fbc6fa087cb9c0af194a04dd736299
Uploaded with pyDataverse 2025-12-03 17:41
Network Common Data Form - 504.0 KB - MD5: e102acc3a116aa8e23c6d93ff58e75f1
Uploaded with pyDataverse 2025-12-03 17:39
Comma Separated Values - 1.1 MB - MD5: 4c6819b86b38a9d1f3eaf07485fb9fb8
Uploaded with pyDataverse 2025-12-03 16:32
Network Common Data Form - 1.0 MB - MD5: 888e4524dfb93249afc95616d6af2201
Uploaded with pyDataverse 2025-12-03 16:31
Comma Separated Values - 30.2 MB - MD5: 0064256487f03f9ee283514102dff382
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Network Common Data Form - 22.0 MB - MD5: 685939784606a8fd394a726f8e0fce60
Uploaded with pyDataverse 2025-12-03 16:33
Comma Separated Values - 37.5 KB - MD5: f99f033691395f489b0095691d1313ab
Uploaded with pyDataverse 2025-12-03 16:32
Network Common Data Form - 201.3 KB - MD5: 775e29cb45a410ea392aba3562485b04
Uploaded with pyDataverse 2025-12-03 16:31
Comma Separated Values - 2.7 MB - MD5: aaba4f7b2529ed00eb2e20b91b6aa025
Uploaded with pyDataverse 2025-12-03 16:59
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