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 - 26.9 MB - MD5: 771dd2b1551c43e9f4cd685ac0df021c
Uploaded with pyDataverse 2026-04-01 14:57
Comma Separated Values - 58.9 KB - MD5: a830b2f1918703e58db50783478964c7
Uploaded with pyDataverse 2026-04-01 14:58
Network Common Data Form - 478.7 KB - MD5: fdae3d4c1245083778b5ec9961764289
Uploaded with pyDataverse 2026-04-01 14:56
Comma Separated Values - 1.3 MB - MD5: 4f71d84fdfd44fe68ef44117e333ada3
Uploaded with pyDataverse 2026-04-01 15:12
Network Common Data Form - 1.3 MB - MD5: ca8fc984280b9455c3719ab40344029f
Uploaded with pyDataverse 2026-04-01 15:10
Comma Separated Values - 33.5 MB - MD5: 03e7b5a537a06e177df4c4c87d43c301
Uploaded with pyDataverse 2026-04-01 15:11
Network Common Data Form - 22.2 MB - MD5: b41222ad10b6a474adcf985b626ec584
Uploaded with pyDataverse 2026-04-01 15:10
Comma Separated Values - 46.0 KB - MD5: 56f4392eb927414ae8e298d082c9913e
Uploaded with pyDataverse 2026-04-01 15:10
Network Common Data Form - 378.8 KB - MD5: b952ba57bc2b531fd6035db0853707ce
Uploaded with pyDataverse 2026-04-01 15:11
Comma Separated Values - 3.0 MB - MD5: 3ba7f299b67a5bc7990c2bd8bbad5f0f
Uploaded with pyDataverse 2026-04-01 15:37
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