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 - 412.8 KB - MD5: 4a195515cdd123c5eb169036d8e0e624
Uploaded with pyDataverse 2025-12-03 16:46
Comma Separated Values - 203.2 KB - MD5: 709dd50d174fc510987e94224ccabb8e
Uploaded with pyDataverse 2025-12-03 17:38
Network Common Data Form - 505.8 KB - MD5: 91a920069dfc3cc097b6d3ddfed2abe7
Uploaded with pyDataverse 2025-12-03 17:38
Comma Separated Values - 5.0 MB - MD5: 450fc91910f1f9481f0d700dc86fb52f
Uploaded with pyDataverse 2025-12-03 17:37
Network Common Data Form - 3.6 MB - MD5: 6d9d8bb644badc630b506834308580f5
Uploaded with pyDataverse 2025-12-03 17:38
Comma Separated Values - 7.2 KB - MD5: a3707ff5f88101a1f89209ac840ed2cb
Uploaded with pyDataverse 2025-12-03 17:39
Network Common Data Form - 346.1 KB - MD5: ad016584767514f2c8f006b975070028
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Comma Separated Values - 2.7 MB - MD5: ded060451f048098ac421a592bae5ccd
Uploaded with pyDataverse 2025-12-03 16:56
Network Common Data Form - 2.4 MB - MD5: ae7fe32770644c1b0599458b8bc09a9f
Uploaded with pyDataverse 2025-12-03 16:57
Comma Separated Values - 66.7 MB - MD5: 9248a5cf937cbeebee0ef54c1b31fd5c
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