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 - 68.0 MB - MD5: c5c4ff9066cd5cff2aa8c97c34914ce1
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Network Common Data Form - 26.2 MB - MD5: 8d1c84d4872c43cd04124cfbae3dddc9
Uploaded with pyDataverse 2026-05-01 15:28
Comma Separated Values - 100.0 KB - MD5: 1bd9ce58bb593978b83bc7768839abbb
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Network Common Data Form - 524.6 KB - MD5: 4e7a724f1d5ff43b352739b9e8e59f4d
Uploaded with pyDataverse 2026-05-01 15:29
Comma Separated Values - 3.4 MB - MD5: 43303bb2fd606b966375f5a97903dd84
Uploaded with pyDataverse 2026-05-01 15:20
Network Common Data Form - 2.6 MB - MD5: 81f08b8ad52c4b41f18c98b64549428a
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Comma Separated Values - 73.7 MB - MD5: ddcee243f8660ebc2c44deedfc314b53
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Network Common Data Form - 31.7 MB - MD5: a9377b730f10d6e4830912141b8f9d4d
Uploaded with pyDataverse 2026-05-01 15:22
Comma Separated Values - 116.4 KB - MD5: 32a891272635bc486361d6bc01c944fd
Uploaded with pyDataverse 2026-05-01 15:20
Network Common Data Form - 528.9 KB - MD5: 08b56c15e6efbe5252fd9a58e6fb3453
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