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

451 to 460 of 4,674 Results
Network Common Data Form - 5.0 MB - MD5: 0fb831963a5071277f007880120ab4df
Uploaded with pyDataverse 2025-12-03 17:32
Comma Separated Values - 10.7 KB - MD5: 193df1ebdf534c44ed0d1b72a273df53
Uploaded with pyDataverse 2025-12-03 17:33
Network Common Data Form - 256.2 KB - MD5: a5d064f7f3ef3ed5d4ae75b3d3f5593a
Uploaded with pyDataverse 2025-12-03 17:32
Comma Separated Values - 421.8 KB - MD5: 1e006d91f970367d665443af713ae14f
Uploaded with pyDataverse 2025-12-03 16:19
Network Common Data Form - 658.8 KB - MD5: c5609f1b9db5ff75678e40e781f1deea
Uploaded with pyDataverse 2025-12-03 16:19
Comma Separated Values - 10.0 MB - MD5: 2bdd92e283fb7456d5ce9ca37369f06f
Uploaded with pyDataverse 2025-12-03 16:18
Network Common Data Form - 6.5 MB - MD5: 1273015ac9a4c6e29acc82a6188f6615
Uploaded with pyDataverse 2025-12-03 16:18
Comma Separated Values - 14.6 KB - MD5: 0c8fa8020bd0ba4d497e79e235278dc5
Uploaded with pyDataverse 2025-12-03 16:19
Network Common Data Form - 362.5 KB - MD5: 32e8dfbffd72fb1ace53ddca6333c6ed
Uploaded with pyDataverse 2025-12-03 16:20
Comma Separated Values - 1.1 MB - MD5: 53816484659d575a765a4f22a2981f85
Uploaded with pyDataverse 2025-12-03 16:10
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.