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 - 68.1 MB - MD5: 7dc85be5f0dc7b91f00e4bb8b2257ff0
Uploaded with pyDataverse 2026-05-01 15:42
Network Common Data Form - 24.5 MB - MD5: 46945130af5995ec5ad155b1650e1873
Uploaded with pyDataverse 2026-05-01 15:43
Comma Separated Values - 106.5 KB - MD5: 891f0179f4197c6515754aae4f1ad409
Uploaded with pyDataverse 2026-05-01 15:44
Network Common Data Form - 516.3 KB - MD5: 9a9cb6ca10afc3ff75a3d3fc8340a0eb
Uploaded with pyDataverse 2026-05-01 15:44
Comma Separated Values - 2.9 MB - MD5: bcad6f6abef2fe8815963cc1855504cf
Uploaded with pyDataverse 2026-05-01 15:58
Network Common Data Form - 2.3 MB - MD5: 92ce2016e0120fba323d806c019e4ad8
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Comma Separated Values - 64.6 MB - MD5: bc626a0e79267ca7fc0305b834ee0a67
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Network Common Data Form - 27.3 MB - MD5: 57dd09d6f6f598a9a58c33fb5149db77
Uploaded with pyDataverse 2026-05-01 15:58
Comma Separated Values - 101.1 KB - MD5: 1c62629d0349ca369df06b1b8454de9a
Uploaded with pyDataverse 2026-05-01 16:00
Network Common Data Form - 507.3 KB - MD5: 56a0de780b2476e4abf11506626c1d59
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