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 - 87.9 KB - MD5: cdd25ee7fb2864176b4e0c8a99d675fc
Uploaded with pyDataverse 2025-09-01 14:02
Network Common Data Form - 436.7 KB - MD5: f6329b00ea78961d266d025617bb0822
Uploaded with pyDataverse 2025-09-01 14:02
Comma Separated Values - 1.1 MB - MD5: 4645a022b63dd3d49e40553a25e4952a
Uploaded with pyDataverse 2025-09-01 13:59
Network Common Data Form - 1.2 MB - MD5: 54205000e0935a5456e56a3a952a6e09
Uploaded with pyDataverse 2025-09-01 13:58
Comma Separated Values - 26.8 MB - MD5: 64b302537e9d37fdf53537c9909f1f1f
Uploaded with pyDataverse 2025-09-01 13:57
Network Common Data Form - 17.8 MB - MD5: 4d8403d259d55c5ef815c06d865c1411
Uploaded with pyDataverse 2025-09-01 13:58
Comma Separated Values - 42.1 KB - MD5: 3695187688eba22aef5d0cec8b912ddb
Uploaded with pyDataverse 2025-09-01 13:58
Network Common Data Form - 396.7 KB - MD5: a149126711a13e3dbd279e10159fdeeb
Uploaded with pyDataverse 2025-09-01 13:58
Comma Separated Values - 2.3 MB - MD5: 4364357a9efdef9873b07092c5e42767
Uploaded with pyDataverse 2025-09-01 13:40
Network Common Data Form - 2.1 MB - MD5: cf897277e11ee33529381eb7784044a4
Uploaded with pyDataverse 2025-09-01 13:41
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