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 - 3.1 MB - MD5: 67269384f2811d678eebba1651b45e7c
Uploaded with pyDataverse 2025-04-03 15:53
Comma Separated Values - 12.5 KB - MD5: 7996f10b70333c90000b236e5c881cf4
Uploaded with pyDataverse 2025-04-03 15:53
Network Common Data Form - 326.9 KB - MD5: 128576a27de4ab270857061c60ab7178
Uploaded with pyDataverse 2025-04-03 15:54
Comma Separated Values - 1.9 MB - MD5: 8378d7f56677bc64c819758cff7c3622
Uploaded with pyDataverse 2025-04-03 16:15
Network Common Data Form - 1.7 MB - MD5: a6e1313a4844a1a2f6aa378bd2357d8c
Uploaded with pyDataverse 2025-04-03 16:15
Comma Separated Values - 44.8 MB - MD5: 14aedbbc3d186e13b0b47dba2dc0ae5d
Uploaded with pyDataverse 2025-04-03 16:16
Network Common Data Form - 28.1 MB - MD5: 69c1b03f23aeab627a38cecfb351ebd6
Uploaded with pyDataverse 2025-04-03 16:15
Comma Separated Values - 68.2 KB - MD5: 407a52c838f82cee4c300c0471437fad
Uploaded with pyDataverse 2025-04-03 16:14
Network Common Data Form - 393.2 KB - MD5: 8117ef86eb2f2cc24f72ebdd463083d4
Uploaded with pyDataverse 2025-04-03 16:15
Comma Separated Values - 3.3 MB - MD5: 82d73e4fa65663394de6b10be1043d8f
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