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 - 287.7 KB - MD5: 21ac0c0e16a5d5910909e22a4eadf905
Uploaded with pyDataverse 2025-12-03 16:25
Comma Separated Values - 263.0 KB - MD5: 1ca001656a8c73ee70543034d2e5d479
Uploaded with pyDataverse 2025-12-03 17:13
Network Common Data Form - 479.8 KB - MD5: 742cdbef76fdac4018e3923b5bb9d49d
Uploaded with pyDataverse 2025-12-03 17:14
Comma Separated Values - 5.9 MB - MD5: 70cc02b7de2c837fc914f1925217b862
Uploaded with pyDataverse 2025-12-03 17:15
Network Common Data Form - 2.7 MB - MD5: 4f70a9dbdb6dff6002c85596011a1138
Uploaded with pyDataverse 2025-12-03 17:14
Comma Separated Values - 8.9 KB - MD5: 9e18e787d0bf429b7a4d88106652defc
Uploaded with pyDataverse 2025-12-03 17:14
Network Common Data Form - 301.5 KB - MD5: 3066239eb1ab3c82898627e4c8ad6b67
Uploaded with pyDataverse 2025-12-03 17:15
Comma Separated Values - 1.9 MB - MD5: 7845bdec86aa694f1fb5d110bc42b261
Uploaded with pyDataverse 2025-12-03 17:43
Network Common Data Form - 1.7 MB - MD5: e75464519ee619e24cd93e33d1365f75
Uploaded with pyDataverse 2025-12-03 17:42
Comma Separated Values - 46.5 MB - MD5: 68bb38503638ce6ad80d159a27419798
Uploaded with pyDataverse 2025-12-03 17:43
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