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 - 33.3 MB - MD5: b6e211c22c77d4c4163f468ead70349b
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Network Common Data Form - 21.2 MB - MD5: a857eb4e55beb30705a228543dde9e13
Uploaded with pyDataverse 2025-07-01 13:42
Comma Separated Values - 53.2 KB - MD5: a1ac5fc7e4624129e9b5dfd29fe3a5a8
Uploaded with pyDataverse 2025-07-01 13:43
Network Common Data Form - 394.5 KB - MD5: 049889d7db9354ce56c7e632357af040
Uploaded with pyDataverse 2025-07-01 13:43
Comma Separated Values - 2.4 MB - MD5: becb34326bc7cb3f595eca8e1e5bf267
Uploaded with pyDataverse 2025-07-01 14:14
Network Common Data Form - 2.2 MB - MD5: 61ecdb53f11d70268a918eef6a5766df
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Comma Separated Values - 55.4 MB - MD5: 99064769ee7b8b26d1290d908fd2a30a
Uploaded with pyDataverse 2025-07-01 14:13
Network Common Data Form - 36.3 MB - MD5: f87365d03accf3474cb6a9f8873631db
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Comma Separated Values - 86.0 KB - MD5: 274ea4e204f8ac3df18625d9beb1e1c2
Uploaded with pyDataverse 2025-07-01 14:14
Network Common Data Form - 432.4 KB - MD5: fffae4c7452be5391cde2a7a0bcab502
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