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 - 81.2 KB - MD5: 288522a5bb7a7475ddf5202252fa7559
Uploaded with pyDataverse 2025-07-01 14:39
Network Common Data Form - 430.1 KB - MD5: 52f2b9f485af61bc72508f243a0da4be
Uploaded with pyDataverse 2025-07-01 14:40
Comma Separated Values - 279.8 KB - MD5: b0284c74e9b6def3b5b31bc631739ff1
Uploaded with pyDataverse 2025-07-01 14:24
Network Common Data Form - 519.9 KB - MD5: e8fb7d6524593360bff47c0a09f578ec
Uploaded with pyDataverse 2025-07-01 14:24
Comma Separated Values - 6.8 MB - MD5: 84d4ca6050bc5cc598daf5c356540df0
Uploaded with pyDataverse 2025-07-01 14:25
Network Common Data Form - 3.9 MB - MD5: 3169084b38b8bdfe0ccb068b29c0a561
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Comma Separated Values - 10.7 KB - MD5: 0f79917b72c72c563a5529c2b721ec7a
Uploaded with pyDataverse 2025-07-01 14:24
Network Common Data Form - 334.5 KB - MD5: 0342b19e86f6221cf0b791a40fc7129e
Uploaded with pyDataverse 2025-07-01 14:23
Comma Separated Values - 2.5 MB - MD5: 86057df2e370effb06cbee4c6abde3f0
Uploaded with pyDataverse 2025-07-01 14:02
Network Common Data Form - 2.2 MB - MD5: 25b49c9e0ffdce4adb0613e7f89a5b03
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