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 - 3.8 MB - MD5: 02e5fc8da8d2e174ea7fb802815d28f5
Uploaded with pyDataverse 2026-11-07 02:07
Comma Separated Values - 7.4 KB - MD5: 730698b733f232db843d822e981c03cd
Uploaded with pyDataverse 2026-11-07 02:06
Network Common Data Form - 322.6 KB - MD5: 7660ebaf3593f72430cb6631a0530fe5
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Comma Separated Values - 2.5 MB - MD5: c5b442ebbc6ef806ac75a226aed08243
Uploaded with pyDataverse 2026-11-07 01:31
Network Common Data Form - 2.2 MB - MD5: db2593d95d85fcef7c1f35339c49b22c
Uploaded with pyDataverse 2026-11-07 01:31
Comma Separated Values - 65.0 MB - MD5: 799c25fba8178c8400ca363bbe5be472
Uploaded with pyDataverse 2026-11-07 01:33
Network Common Data Form - 44.0 MB - MD5: f676cba673ed7b8b1b46055cd173fb29
Uploaded with pyDataverse 2026-11-07 01:31
Comma Separated Values - 87.4 KB - MD5: e865895b4484017178080008c00037f6
Uploaded with pyDataverse 2026-11-07 01:32
Network Common Data Form - 429.2 KB - MD5: 753cdb07a6ea91799bd88ea5a3aa2838
Uploaded with pyDataverse 2026-11-07 01:32
Comma Separated Values - 1.4 MB - MD5: b191865ceac5772c803d3898108b3d1d
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