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 - 57.4 MB - MD5: 468ee0a08298b3f885b719b4c902ca11
Uploaded with pyDataverse 2026-09-01 16:59
Network Common Data Form - 38.0 MB - MD5: dffe36a8c055c43920f99ef0263b14b6
Uploaded with pyDataverse 2026-09-01 16:58
Comma Separated Values - 72.9 KB - MD5: 15f853a3405cf031ab8c9e24c07816c8
Uploaded with pyDataverse 2026-09-01 16:59
Network Common Data Form - 386.0 KB - MD5: 5a87a4d47a76e89ba7cc491e5970d46e
Uploaded with pyDataverse 2026-09-01 16:57
Comma Separated Values - 2.5 MB - MD5: 41e941acc5c02e39533453d65c8645af
Uploaded with pyDataverse 2026-09-01 15:39
Network Common Data Form - 2.1 MB - MD5: c6ad516908fcd61376b052c1cc14ca84
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Comma Separated Values - 65.0 MB - MD5: 528dd11928cce97b36d64cd3e25dcf35
Uploaded with pyDataverse 2026-09-01 15:37
Network Common Data Form - 42.0 MB - MD5: 5b4c846e3917c6caba316e50d1fe72e7
Uploaded with pyDataverse 2026-09-01 15:38
Comma Separated Values - 83.3 KB - MD5: f55e20c155e5834c3d385dcc463a7ea4
Uploaded with pyDataverse 2026-09-01 15:38
Network Common Data Form - 383.5 KB - MD5: 61c12451cbb215d35675bd1d8f76cf29
Uploaded with pyDataverse 2026-09-01 15:36
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