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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Oct 9, 2025 - pypromice v1.7.0
Python Source Code - 2.4 KB - MD5: 51e5be1edafb6b663596e74ab7fafa58
Uploaded with GitHub Action from GEUS-Glaciology-and-Climate/pypromice.
Oct 9, 2025 - pypromice v1.7.0
Python Source Code - 1.2 KB - MD5: 5c1b416b13739c4f41954b0252e192db
Uploaded with GitHub Action from GEUS-Glaciology-and-Climate/pypromice.
Oct 9, 2025 - pypromice v1.7.0
Python Source Code - 1.5 KB - MD5: f2c2b408c7e4b682b73136e9c98b7cfc
Uploaded with GitHub Action from GEUS-Glaciology-and-Climate/pypromice.
Oct 9, 2025 - pypromice v1.7.0
Comma Separated Values - 1001 B - MD5: 5223be01a2ab6cdb43cb93e7e5dfb9c5
Uploaded with GitHub Action from GEUS-Glaciology-and-Climate/pypromice.
Oct 9, 2025 - pypromice v1.7.0
Comma Separated Values - 13.9 KB - MD5: d5dc76c6daa1688ea47d3834fda102ab
Uploaded with GitHub Action from GEUS-Glaciology-and-Climate/pypromice.
Oct 9, 2025 - pypromice v1.7.0
Unknown - 231 B - MD5: 83d450a466c6b478b791dd751e2b243c
Uploaded with GitHub Action from GEUS-Glaciology-and-Climate/pypromice.
Oct 9, 2025 - pypromice v1.7.0
Python Source Code - 1.7 KB - MD5: 7bd8bda04e9284075dfb2044e20cc87d
Uploaded with GitHub Action from GEUS-Glaciology-and-Climate/pypromice.
Oct 9, 2025 - pypromice v1.7.0
Python Source Code - 15.4 KB - MD5: 109465151254c91234b3c256c3b2665d
Uploaded with GitHub Action from GEUS-Glaciology-and-Climate/pypromice.
Oct 8, 2025 - Automatic weather stations
How, P.; Lund, M.C.; Ahlstrøm, A.P.; Andersen, S.B.; Box, J.E.; Citterio, M.; Colgan, W.T.; Fausto, R.S.; Karlsson, N.B.; Jakobsen, J.; Jakobsgaard, H.T.; Larsen, S.H.; Mankoff, K.D.; Nielsen, R.B.; Rutishauser, A.; Shield, C.L.; Solgaard, A.M.; Stevens, I.T.; van As, D.; Vandecrux, B.; Abermann, J.; Bjørk, A.A.; Langley, K.; Lea, J.; Messerli, A.; Prinz, R., 2022, "PROMICE and GC-Net automated weather station data in Greenland", https://doi.org/10.22008/FK2/IW73UU, GEUS Dataverse, V28
PROMICE and GC-Net automated weather station (AWS) data in Greenland. The data is available either as csv or netcdf files. Station locations, installation (if necessary, decommission) date, location type (tundra, ice sheet, local glacier), station type (one or two levels of measu...
Adobe PDF - 101.1 KB - MD5: be0141e96439ee84b892a169e3e94cfa
Uploaded with pyDataverse 2025-10-01 15:14
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