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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51 to 60 of 4,061 Results
Sep 16, 2024 - pypromice v1.4.2
Python Source Code - 9.5 KB - MD5: d1a6afd8da191ea806c50221e2379598
Sep 16, 2024 - pypromice v1.4.2
Plain Text - 63 B - MD5: e83277a19bc1a4bdd570473649cae049
Sep 16, 2024 - pypromice v1.4.2
Unknown - 985 B - MD5: 6bac2a9769ad14fc0d6b7916345c593e
Sep 16, 2024 - pypromice v1.4.2
Python Source Code - 3.3 KB - MD5: 64733cc440fc45f021f0cdda69aa4446
Sep 16, 2024 - pypromice v1.4.2
Unknown - 9.7 KB - MD5: 0c7b6bfc01ae8a0aadeba59086a43ff7
Sep 16, 2024 - pypromice v1.4.2
Markdown Text - 7.9 KB - MD5: d6ee10686df0da41910336e5dc6db54c
Sep 16, 2024 - pypromice v1.4.2
Comma Separated Values - 7.6 KB - MD5: 2efa155c696771030bd1e19972f96e6f
Sep 16, 2024 - pypromice v1.4.2
Comma Separated Values - 457 B - MD5: 661b03eed5bafe50bd9cc976295170ef
Sep 16, 2024 - pypromice v1.4.2
Python Source Code - 6.4 KB - MD5: 7e6f4d5668681df74367db849da2b10d
Sep 16, 2024 - pypromice v1.4.2
Comma Separated Values - 224 B - MD5: a93c8dbc3b001c51a0aed5d9b4819022
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