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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Sep 16, 2024 - pypromice v1.4.2
Unknown - 2.2 KB - MD5: 52e9db132ae61ced5a8fb84f08d910b9
Sep 16, 2024 - pypromice v1.4.2
Unknown - 1.1 KB - MD5: 644f5d83c82aa55b0e7f65bbb48a06aa
Sep 16, 2024 - pypromice v1.4.2
Markdown Text - 3.4 KB - MD5: 7434efe4b45f0d3ad7e164875596559b
Sep 16, 2024 - pypromice v1.4.2
Unknown - 640 B - MD5: 05035afa9e416c20e3f2a3a6f9358a23
Sep 16, 2024 - pypromice v1.4.2
Python Source Code - 9.3 KB - MD5: 66abc150a69126b099825ea3ce26d3bd
Sep 16, 2024 - pypromice v1.4.2
Plain Text - 180 B - MD5: 43af9ae5e5b71426e50ce24a2b669ac0
Sep 16, 2024 - pypromice v1.4.2
Python Source Code - 7.0 KB - MD5: 40aed2218bc78e7be5e1a73f8c35d356
Sep 16, 2024 - pypromice v1.4.2
Python Source Code - 2.5 KB - MD5: d1845a98eb3cf105fb9a393a87e6c430
Sep 16, 2024 - pypromice v1.4.2
Python Source Code - 3.9 KB - MD5: 36e73d84cfe2be3e83d6164f64aa88ca
Sep 16, 2024 - pypromice v1.4.2
Unknown - 1.1 KB - MD5: 1dab4b922f9d277b47869c1e09a56ee0
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