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 - 419.7 KB - MD5: ea7a5618c99f5a97b89f76f8aa3eb7b2
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Comma Separated Values - 3.4 MB - MD5: 33a957995a3991d27813dd34d479bce7
Uploaded with pyDataverse 2026-11-07 01:16
Network Common Data Form - 2.5 MB - MD5: 99172c32452cbcad2cc62ffa87251468
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Comma Separated Values - 76.1 MB - MD5: ba228065d6973075696f2a7be12641a8
Uploaded with pyDataverse 2026-11-07 01:17
Network Common Data Form - 31.5 MB - MD5: 3709c6907f9579f6fbde97720d56e8a1
Uploaded with pyDataverse 2026-11-07 01:15
Comma Separated Values - 118.4 KB - MD5: d00ab30c8c373078a910a5cf1e5b6c3d
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Network Common Data Form - 511.1 KB - MD5: 0c76127a8b3a25fb2a6159f1c5d74447
Uploaded with pyDataverse 2026-11-07 01:16
Comma Separated Values - 2.4 MB - MD5: 725a53ff2269e2cb5e4cadc6bada3eb5
Uploaded with pyDataverse 2026-11-07 01:02
Network Common Data Form - 2.0 MB - MD5: 34f2a6abbc896ac7b01268a41317125c
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Comma Separated Values - 63.4 MB - MD5: 6c74582ee6e09b9cb7be78d93f77dd13
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