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 - 466.3 KB - MD5: 640f7785741742d1ef0b7bc77250b034
Uploaded with pyDataverse 2026-06-01 15:45
Comma Separated Values - 1.4 MB - MD5: 985bfcb8773ef59a8e43c6d90fa01541
Uploaded with pyDataverse 2026-06-01 16:04
Network Common Data Form - 1.3 MB - MD5: 4ba65dc9de7a77c2712e42ec8ccc1ee9
Uploaded with pyDataverse 2026-06-01 16:02
Comma Separated Values - 34.3 MB - MD5: b0a83761fdc51311e534be895ee9ce3b
Uploaded with pyDataverse 2026-06-01 16:03
Network Common Data Form - 22.8 MB - MD5: 2157d0d6f0a131fdbf0d40c49dab8727
Uploaded with pyDataverse 2026-06-01 16:01
Comma Separated Values - 47.2 KB - MD5: 7ff9b4fa6542d060ae124e1da97fd8e1
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Network Common Data Form - 380.3 KB - MD5: 8285946f1219dc5f687b46ca2c87215d
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Comma Separated Values - 3.0 MB - MD5: 61b95361b9cddf5518a011d52c8201a9
Uploaded with pyDataverse 2026-06-01 16:33
Network Common Data Form - 2.2 MB - MD5: f94f5f3114438510513100c481b492c7
Uploaded with pyDataverse 2026-06-01 16:34
Comma Separated Values - 68.5 MB - MD5: 1d9f582b5183d7f0706c9c85c2a02cde
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