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 - 36.8 MB - MD5: 28b8283169ea3bcd80a04d591321b8d5
Uploaded with pyDataverse 2026-11-07 02:12
Network Common Data Form - 24.9 MB - MD5: a71a400ad583fdce4e2f74eeb0f53b46
Uploaded with pyDataverse 2026-11-07 02:10
Comma Separated Values - 47.2 KB - MD5: 8cb05bb52a479ad2c8e4b928eec57ee2
Uploaded with pyDataverse 2026-11-07 02:11
Network Common Data Form - 365.7 KB - MD5: e1ea86d101b57f7563ec9fd1fb4816ff
Uploaded with pyDataverse 2026-11-07 02:12
Comma Separated Values - 3.1 MB - MD5: 7f9c1a5539a1c9ae09f0496d9becc9c9
Uploaded with pyDataverse 2026-11-07 02:41
Network Common Data Form - 2.2 MB - MD5: 83d7149b04e58799cf3876c643035038
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Comma Separated Values - 71.1 MB - MD5: 8413b65da67cc4a675a3aeebb67bd7e7
Uploaded with pyDataverse 2026-11-07 02:40
Network Common Data Form - 26.4 MB - MD5: c6de14942d66d9478232522a76f13ebf
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Comma Separated Values - 108.7 KB - MD5: e1371413895dbf8a512f4049b5ff5cb5
Uploaded with pyDataverse 2026-11-07 02:43
Network Common Data Form - 503.5 KB - MD5: fb6eb5990f0a2f9de9f189581a7b2ea7
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