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

41 to 50 of 4,557 Results
Comma Separated Values - 2.9 MB - MD5: 8b452feedf4b391a0f4f5be9ffded765
Uploaded with pyDataverse 2025-07-01 14:58
Network Common Data Form - 2.2 MB - MD5: 4c6cf3a7b8a62edb44fbbbd07c402ba2
Uploaded with pyDataverse 2025-07-01 14:58
Comma Separated Values - 61.8 MB - MD5: 515d3bccfa601fdde24c423777f68ffa
Uploaded with pyDataverse 2025-07-01 14:58
Network Common Data Form - 25.3 MB - MD5: c3af164d7adfe6416d269deaed605a8b
Uploaded with pyDataverse 2025-07-01 14:57
Comma Separated Values - 102.9 KB - MD5: d3dce5803d241ace0ac5f0202a0a4757
Uploaded with pyDataverse 2025-07-01 14:59
Network Common Data Form - 503.4 KB - MD5: 49e68ff9641985ede39e253a4b199963
Uploaded with pyDataverse 2025-07-01 14:57
Comma Separated Values - 1.3 MB - MD5: c2214236eca8804a7ba7cbc1b6437262
Uploaded with pyDataverse 2025-07-01 14:01
Network Common Data Form - 1.2 MB - MD5: 8cc2105897043ca194cf8b6658de0825
Uploaded with pyDataverse 2025-07-01 14:00
Comma Separated Values - 33.2 MB - MD5: 5abd46b7ea0d535e985a741df9403b9c
Uploaded with pyDataverse 2025-07-01 14:01
Network Common Data Form - 23.2 MB - MD5: 1bec254df4401790e17096e40d0f84f3
Uploaded with pyDataverse 2025-07-01 14:01
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.