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 - 427.1 KB - MD5: d0a8560d0106c8569aba0e2b1f4e9a7e
Uploaded with pyDataverse 2025-07-01 14:37
Comma Separated Values - 3.2 MB - MD5: 56ef15fecfe8d80f3f09563f85dfb3bd
Uploaded with pyDataverse 2025-07-01 14:22
Network Common Data Form - 2.4 MB - MD5: aa362d61c668ee5773cd5057f89c6767
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Comma Separated Values - 67.9 MB - MD5: 2a02b7fdc2134abbfeb509625512f040
Uploaded with pyDataverse 2025-07-01 14:23
Network Common Data Form - 27.6 MB - MD5: ecace478c84d9cdc770615f4314e595d
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Comma Separated Values - 113.8 KB - MD5: b7811c07a6b2452a88729b247bc19f96
Uploaded with pyDataverse 2025-07-01 14:22
Network Common Data Form - 519.7 KB - MD5: df01033d666afc6be6def81653f18491
Uploaded with pyDataverse 2025-07-01 14:23
Comma Separated Values - 3.2 MB - MD5: 9823ead7fcf9b1ebebf18dbe9d695aa4
Uploaded with pyDataverse 2025-07-01 14:16
Network Common Data Form - 2.4 MB - MD5: b40629d090b2483e7fa05e97ba5fdc51
Uploaded with pyDataverse 2025-07-01 14:16
Comma Separated Values - 68.3 MB - MD5: 63450793b966ecda54d807e184588ae5
Uploaded with pyDataverse 2025-07-01 14:15
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