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.
Featured Dataverses

In order to use this feature you must have at least one published dataverse.

Publish Dataverse

Are you sure you want to publish your dataverse? Once you do so it must remain published.

Publish Dataverse

This dataverse cannot be published because the dataverse it is in has not been published.

Delete Dataverse

Are you sure you want to delete your dataverse? You cannot undelete this dataverse.

Advanced Search

431 to 440 of 4,230 Results
May 26, 2025 - Ice velocity
Solgaard, Anne Munck; Kusk, Anders, 2024, "Greenland Ice Velocity from Sentinel-1 Edition 4", https://doi.org/10.22008/FK2/LFZLZN, GEUS Dataverse, V34
Greenland Ice Velocity from Sentinel-1 The PROMICE Ice Velocity product is a timeseries of Greenland Ice Sheet velocity mosaics based on ESA Sentinel-1 SAR offset tracking. The product spans the period January 2016 to present. Spatial resolution: 200 m Temporal resolution: A new...
Network Common Data Form - 957.7 MB - MD5: 3c8309fe741865c54c334f56551e2fa0
Data
PNG Image - 2.4 MB - MD5: 6a02e052e093257453e94d8013446f6f
Image
Network Common Data Form - 1.2 GB - MD5: 4a920242d18ffa12d466f866e29736cf
Data
PNG Image - 5.5 MB - MD5: 321db0633e736d7ba7627a5fd9180d0e
Image
Network Common Data Form - 1.1 GB - MD5: 8b25e81088f6ee5ea999a96ce0c32cd5
Data
PNG Image - 5.7 MB - MD5: 16e4e49c0ff2377cae425ac925d000db
Image
May 9, 2025 - Ice-Marginal Lakes
How, P.; Petersen, D.; Karlsson, N. B.; Kjeldsen, K. K.; Raundrup, K.; Messerli, A.; Rutishauser, A.; Carrivick, J. L.; Lea, J. M.; Fausto, R. S.; Ahlstrøm, A. P.; Andersen, S. B., 2025, "Greenland Ice-Marginal Lake Inventory annual time-series Edition 1", https://doi.org/10.22008/FK2/MBKW9N, GEUS Dataverse, V2
This ice-marginal lake dataset is a series of annual inventories, mapping the extent and presence of lakes across Greenland that share a margin with the Greenland Ice Sheet and/or the surrounding periphery glaciers. The annual inventories provide a comprehensive record of all ide...
Unknown - 34.7 MB - MD5: 2351f0cebd4118b72cffe3a2cf182aa2
Unknown - 30.9 MB - MD5: 48825884e044d332f32574a71b4bbddb
Add Data

Log in to create a dataverse or add a dataset.

Share Dataverse

Share this dataverse on your favorite social media networks.

Link Dataverse
Reset Modifications

Are you sure you want to reset the selected metadata fields? If you do this, any customizations (hidden, required, optional) you have done will no longer appear.