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 - 60.3 MB - MD5: 9a7f3408f5ffe7d25b6c1e123b1916f0
Uploaded with pyDataverse 2026-09-01 16:34
Network Common Data Form - 39.6 MB - MD5: d7797463cd8de0660890feb9511d3c4b
Uploaded with pyDataverse 2026-09-01 16:36
Comma Separated Values - 80.4 KB - MD5: c79825e707e5cefc87cb400ba15435f1
Uploaded with pyDataverse 2026-09-01 16:35
Network Common Data Form - 421.3 KB - MD5: 98da01d30c691de59540e51273ea18d5
Uploaded with pyDataverse 2026-09-01 16:33
Comma Separated Values - 3.3 MB - MD5: 40777b59ee267705d37916faac8b5eee
Uploaded with pyDataverse 2026-09-01 16:08
Network Common Data Form - 2.5 MB - MD5: a53fdddd356084c474942077457bef12
Uploaded with pyDataverse 2026-09-01 16:07
Comma Separated Values - 73.0 MB - MD5: 4a9cf0da86a1dc0cd43631fc1b741516
Uploaded with pyDataverse 2026-09-01 16:09
Network Common Data Form - 31.8 MB - MD5: e716c1e396696f41827bab73958c0e94
Uploaded with pyDataverse 2026-09-01 16:08
Comma Separated Values - 113.8 KB - MD5: 64ac6ddb12174a9d73508c24fe6fa2e7
Uploaded with pyDataverse 2026-09-01 16:07
Network Common Data Form - 505.8 KB - MD5: 8baaff873b858709ae16c9b4958ac1db
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