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 - 93.3 KB - MD5: 739e9be91821b2d9cd46c1dcc179c8b1
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Network Common Data Form - 444.3 KB - MD5: 8f8a9f3dbcddc0fbacd8dbd0460215a2
Uploaded with pyDataverse 2026-05-01 15:06
Comma Separated Values - 2.5 MB - MD5: 2c423f0fb70da73433184f26e7614d54
Uploaded with pyDataverse 2026-05-01 14:53
Network Common Data Form - 2.2 MB - MD5: 9eb4a8869acc34b63ff08f6bcc3c263d
Uploaded with pyDataverse 2026-05-01 14:51
Comma Separated Values - 63.3 MB - MD5: 3ada8708183ceeebf00526ec72fa5982
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Network Common Data Form - 42.4 MB - MD5: 01b2363549894feb5ef92bcf4617b16e
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Comma Separated Values - 85.6 KB - MD5: 83768001685fcf2f5a74ebcf9aff6cb9
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Network Common Data Form - 413.4 KB - MD5: bb8d61c9420f95bdb8387c623355d93c
Uploaded with pyDataverse 2026-05-01 14:53
Comma Separated Values - 255.8 KB - MD5: db80539a210302c23366fd897bc08463
Uploaded with pyDataverse 2026-05-01 15:55
Network Common Data Form - 546.7 KB - MD5: 44cf943deb6ab4b450ccc9e920cf2e19
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