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 - 23.0 MB - MD5: 0ea57738a2fdeea0b3df6cfb36878165
Uploaded with pyDataverse 2025-05-01 13:51
Comma Separated Values - 43.0 KB - MD5: a90c3c439699882df43aeacc3dfd8e51
Uploaded with pyDataverse 2025-05-01 13:50
Network Common Data Form - 267.7 KB - MD5: 681f6b24dd111c1aad0c4fb7ad1ac19e
Uploaded with pyDataverse 2025-05-01 13:50
Comma Separated Values - 2.6 MB - MD5: a4a0833204f41f8733c93e4ea0079091
Uploaded with pyDataverse 2025-05-01 14:08
Network Common Data Form - 2.3 MB - MD5: 7d3b8f12d75fcfe6a69cbc73e3307440
Uploaded with pyDataverse 2025-05-01 14:09
Comma Separated Values - 63.2 MB - MD5: b5ca7f1253e424eb5c656cc9dc11381e
Uploaded with pyDataverse 2025-05-01 14:08
Network Common Data Form - 43.2 MB - MD5: 359d9a2f600d3527f4d2068fa3055bb2
Uploaded with pyDataverse 2025-05-01 14:08
Comma Separated Values - 88.8 KB - MD5: b865e48db381933f9dc3b63e2238cf09
Uploaded with pyDataverse 2025-05-01 14:07
Network Common Data Form - 433.0 KB - MD5: c647938d0454efa5cb15e74498e65bfa
Uploaded with pyDataverse 2025-05-01 14:08
Comma Separated Values - 2.3 MB - MD5: f3e95d42209d5b63c1ddc7d795672361
Uploaded with pyDataverse 2025-05-01 13:59
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