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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PNG Image - 3.4 MB - MD5: 654d9d5f54a84020b7c0e8afa6ae300b
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Oct 9, 2025 - Automatic weather stations
How, P.; Lund, M.C.; Nielsen, R.B.; Ahlstrøm, A.P.; Fausto, R.S.; Larsen, S.H.; Mankoff, K.D.; Vandecrux, B.; Wright, P.J., 2023, "pypromice v1.7.0", https://doi.org/10.22008/FK2/3TSBF0, GEUS Dataverse, V22
The pypromice toolbox is for retrieving, processing and handling PROMICE (Programme for Monitoring of the Greenland Ice Sheet) and GC-Net (Greenland Climate Network) automated weather station (AWS) data. The content here reflects pypromice releases for processing and handling the...
Oct 9, 2025 - pypromice v1.7.0
Python Source Code - 2.0 KB - MD5: 539b4397b1585188ff9199593e1913a0
Uploaded with GitHub Action from GEUS-Glaciology-and-Climate/pypromice.
Oct 9, 2025 - pypromice v1.7.0
Python Source Code - 5.0 KB - MD5: 5c0d9929c63660e70f3dd37a3a12e71f
Uploaded with GitHub Action from GEUS-Glaciology-and-Climate/pypromice.
Oct 9, 2025 - pypromice v1.7.0
Python Source Code - 503 B - MD5: b99cfb70d6e8fcd2183993ded5741d5c
Uploaded with GitHub Action from GEUS-Glaciology-and-Climate/pypromice.
Oct 9, 2025 - pypromice v1.7.0
Python Source Code - 20.8 KB - MD5: f9123db826827c37ca3a72965a764ac8
Uploaded with GitHub Action from GEUS-Glaciology-and-Climate/pypromice.
Oct 9, 2025 - pypromice v1.7.0
Unknown - 1.9 KB - MD5: 3a53e6211e034cdce468c1b17c615bc1
Uploaded with GitHub Action from GEUS-Glaciology-and-Climate/pypromice.
Oct 9, 2025 - pypromice v1.7.0
Python Source Code - 6.0 KB - MD5: 7834cc8594631c1ac27316a4f54b802a
Uploaded with GitHub Action from GEUS-Glaciology-and-Climate/pypromice.
Oct 9, 2025 - pypromice v1.7.0
Python Source Code - 2.4 KB - MD5: 18bb6e3ceccd51473852be7d1b151396
Uploaded with GitHub Action from GEUS-Glaciology-and-Climate/pypromice.
Oct 9, 2025 - pypromice v1.7.0
Python Source Code - 5.5 KB - MD5: 5411eb3c4aa7c27daf48c9b16ee4a82f
Uploaded with GitHub Action from GEUS-Glaciology-and-Climate/pypromice.
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