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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Comma Separated Values - 71.7 MB - MD5: 3519d79cb5c918bdedbab0e55bf95d4f
Uploaded with pyDataverse 2026-01-01 15:17
Network Common Data Form - 28.7 MB - MD5: e9dcb577d8b8fbab03338f8d3b22f377
Uploaded with pyDataverse 2026-01-01 15:16
Comma Separated Values - 116.6 KB - MD5: 8b9c189bbc517bb600bb90403ce01890
Uploaded with pyDataverse 2026-01-01 15:18
Network Common Data Form - 523.9 KB - MD5: 7406578ec3ce0635f56696738f975fa6
Uploaded with pyDataverse 2026-01-01 15:18
Comma Separated Values - 3.2 MB - MD5: 69d5aee1045261422d6c9aa49c767193
Uploaded with pyDataverse 2026-01-01 13:54
Network Common Data Form - 2.4 MB - MD5: 75a398554d2553d9f0a9368632b03466
Uploaded with pyDataverse 2026-01-01 13:56
Comma Separated Values - 72.0 MB - MD5: 8634ec57715a03d7e2596322cd86504b
Uploaded with pyDataverse 2026-01-01 13:55
Network Common Data Form - 28.3 MB - MD5: 3bf426c2362fbc570db95bee58dd34d4
Uploaded with pyDataverse 2026-01-01 13:56
Comma Separated Values - 113.2 KB - MD5: 48c14b56c0ee822d7e3509e875253db6
Uploaded with pyDataverse 2026-01-01 13:55
Network Common Data Form - 523.9 KB - MD5: c465d2dde53b904b425c70562fe85d23
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