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 - 27.8 MB - MD5: a79fcfb6f142ba12ea491cc37d0017f5
Uploaded with pyDataverse 2025-09-01 14:43
Comma Separated Values - 120.6 KB - MD5: 4fcf9989a516e4c83d92835d0bbfe685
Uploaded with pyDataverse 2025-09-01 14:44
Network Common Data Form - 526.2 KB - MD5: a34fec2e1e14b6b01e024ce56d340d4c
Uploaded with pyDataverse 2025-09-01 14:45
Comma Separated Values - 3.2 MB - MD5: 5fabab79352945f1bb361e395faa05ef
Uploaded with pyDataverse 2025-09-01 13:36
Network Common Data Form - 2.4 MB - MD5: b20929adc6f9aead099640623910e59b
Uploaded with pyDataverse 2025-09-01 13:37
Comma Separated Values - 70.2 MB - MD5: 6b0b5408126f47f3a4b5efac601b7383
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Network Common Data Form - 27.0 MB - MD5: a35830cec714454f7e0c02957a16d9fa
Uploaded with pyDataverse 2025-09-01 13:38
Comma Separated Values - 117.3 KB - MD5: 06d57ec4705bd4f2a5546fe1a13f3765
Uploaded with pyDataverse 2025-09-01 13:37
Network Common Data Form - 526.4 KB - MD5: 12470fd2994853cdacea879c9648f71e
Uploaded with pyDataverse 2025-09-01 13:37
Comma Separated Values - 1.6 MB - MD5: aaa860ef717d0438e6de70b62373b317
Uploaded with pyDataverse 2025-09-01 14:32
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