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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Nov 27, 2024 - pypromice v1.5.0
Unknown - 9.7 KB - MD5: 0c7b6bfc01ae8a0aadeba59086a43ff7
Nov 27, 2024 - pypromice v1.5.0
Markdown Text - 7.9 KB - MD5: d6ee10686df0da41910336e5dc6db54c
Nov 27, 2024 - pypromice v1.5.0
Comma Separated Values - 7.7 KB - MD5: a9dd13b484e5aaebddaa3946697ab6e3
Nov 27, 2024 - pypromice v1.5.0
Comma Separated Values - 457 B - MD5: 661b03eed5bafe50bd9cc976295170ef
Nov 27, 2024 - pypromice v1.5.0
Python Source Code - 6.4 KB - MD5: 7e6f4d5668681df74367db849da2b10d
Nov 27, 2024 - pypromice v1.5.0
Comma Separated Values - 224 B - MD5: a93c8dbc3b001c51a0aed5d9b4819022
Nov 27, 2024 - pypromice v1.5.0
Unknown - 2.2 KB - MD5: 52e9db132ae61ced5a8fb84f08d910b9
Nov 27, 2024 - pypromice v1.5.0
Unknown - 1.1 KB - MD5: 644f5d83c82aa55b0e7f65bbb48a06aa
Nov 27, 2024 - pypromice v1.5.0
Markdown Text - 3.4 KB - MD5: 7434efe4b45f0d3ad7e164875596559b
Nov 27, 2024 - pypromice v1.5.0
Unknown - 640 B - MD5: 05035afa9e416c20e3f2a3a6f9358a23
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