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 - 22.4 MB - MD5: 43d324995c5c5555307e07fe6d4bd2c3
Uploaded with pyDataverse 2025-12-03 16:08
Comma Separated Values - 49.9 KB - MD5: 920b7692ca55d6a67cd9530fb51bdee1
Uploaded with pyDataverse 2025-12-03 16:09
Network Common Data Form - 398.9 KB - MD5: 0ec4cdbee3d93f2a4a007349914d6d62
Uploaded with pyDataverse 2025-12-03 16:08
Comma Separated Values - 2.4 MB - MD5: bdd749bb9d9600e050fadb5dafecbb10
Uploaded with pyDataverse 2025-12-03 16:49
Network Common Data Form - 2.2 MB - MD5: e357e0411e092ac0e8b4552d5ccac7ec
Uploaded with pyDataverse 2025-12-03 16:51
Comma Separated Values - 59.5 MB - MD5: 07f6c0096865f9438ac8be8ed393e298
Uploaded with pyDataverse 2025-12-03 16:49
Network Common Data Form - 38.5 MB - MD5: 06e9ee8d43f501d644c4b982fb8a987d
Uploaded with pyDataverse 2025-12-03 16:50
Comma Separated Values - 83.1 KB - MD5: 61545944edad845815ca9a999c10184f
Uploaded with pyDataverse 2025-12-03 16:50
Network Common Data Form - 438.5 KB - MD5: efb67943afe99515dca428f5c6c74331
Uploaded with pyDataverse 2025-12-03 16:49
Comma Separated Values - 514.2 KB - MD5: 1f4ee50c4fa51d909ae57b86d352f82e
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