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

161 to 170 of 5,380 Results
Network Common Data Form - 341.0 KB - MD5: 2188ad0cc5d92f8a3a47b543280f13a7
Uploaded with pyDataverse 2026-11-07 01:44
Comma Separated Values - 2.4 MB - MD5: 1ed7f864f9ffd9fc775235cefae052c6
Uploaded with pyDataverse 2026-11-07 02:31
Network Common Data Form - 2.1 MB - MD5: 2516486bc9ac84dcc4fa7f321c2f96a7
Uploaded with pyDataverse 2026-11-07 02:32
Comma Separated Values - 62.8 MB - MD5: 8141ac7e6033c5ae4940fabcc59fc982
Uploaded with pyDataverse 2026-11-07 02:32
Network Common Data Form - 41.6 MB - MD5: bc10464276ec16174d7826ec7c0d64ae
Uploaded with pyDataverse 2026-11-07 02:30
Comma Separated Values - 83.7 KB - MD5: 4e6e3d9b3a75f3be1135ee401b4fba48
Uploaded with pyDataverse 2026-11-07 02:30
Network Common Data Form - 427.1 KB - MD5: 8ae8fc257597d700dcd35f59ea9ba2b7
Uploaded with pyDataverse 2026-11-07 02:31
Comma Separated Values - 196.4 KB - MD5: 0d34792612757acdd6185f8b6b3aadad
Uploaded with pyDataverse 2026-11-07 02:06
Network Common Data Form - 475.3 KB - MD5: 6e6a2bbaa73e4d5363afe4ace2af6d8d
Uploaded with pyDataverse 2026-11-07 02:07
Comma Separated Values - 5.0 MB - MD5: 6ed0df5f513c9bd83f2807d093e308c3
Uploaded with pyDataverse 2026-11-07 02:07
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.