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 - 51.4 KB - MD5: 9fd5377d1074e3d07c77b270575f2a56
Uploaded with pyDataverse 2025-07-01 14:07
Network Common Data Form - 402.2 KB - MD5: c7b28474159898341150aac34cbef891
Uploaded with pyDataverse 2025-07-01 14:06
Comma Separated Values - 2.0 MB - MD5: 490f48d670ae5b6c1bb0b67baa40ef16
Uploaded with pyDataverse 2025-07-01 14:49
Network Common Data Form - 1.7 MB - MD5: d9d3ab97059649ae2114f1abd3fe08fb
Uploaded with pyDataverse 2025-07-01 14:50
Comma Separated Values - 45.6 MB - MD5: 9959b9f1610e08047ce59b02d028a62c
Uploaded with pyDataverse 2025-07-01 14:48
Network Common Data Form - 27.1 MB - MD5: 7ede8dd1042559834e9b0e79558c6526
Uploaded with pyDataverse 2025-07-01 14:49
Comma Separated Values - 72.6 KB - MD5: d0f2ed181e912a5bf8c2acdc7a9cd857
Uploaded with pyDataverse 2025-07-01 14:49
Network Common Data Form - 397.6 KB - MD5: 0631ed9866393200af475927030c3497
Uploaded with pyDataverse 2025-07-01 14:48
Comma Separated Values - 916.4 KB - MD5: 755219e9045430baeb991a46ac5c37af
Uploaded with pyDataverse 2025-07-01 13:57
Network Common Data Form - 1012.0 KB - MD5: 3ebbff3cbb9eed6baf6d404462fb0cc8
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