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

331 to 340 of 4,611 Results
Comma Separated Values - 2.3 MB - MD5: 29e067b2aae2a386cf3f924e75e18a79
Uploaded with pyDataverse 2026-01-01 13:59
Network Common Data Form - 2.1 MB - MD5: 037ef336254225d967f53d56f8b76b5a
Uploaded with pyDataverse 2026-01-01 14:00
Comma Separated Values - 57.4 MB - MD5: 2261a48afba4a172da42b2720cf2e4cd
Uploaded with pyDataverse 2026-01-01 13:58
Network Common Data Form - 36.9 MB - MD5: 7a650549e5aae9253cad02d78d9603da
Uploaded with pyDataverse 2026-01-01 13:59
Comma Separated Values - 79.5 KB - MD5: 3b0a44065eb568ee856e75bd0515fda6
Uploaded with pyDataverse 2026-01-01 14:00
Network Common Data Form - 434.5 KB - MD5: 0fd5b39de3b21b4b12cb0e7ba600b1b5
Uploaded with pyDataverse 2026-01-01 13:59
Comma Separated Values - 216.9 KB - MD5: dd61df03cb27864b116a8d14a6841ac5
Uploaded with pyDataverse 2026-01-01 14:30
Network Common Data Form - 516.6 KB - MD5: 8a41e865d0158e295db5a34752764fbc
Uploaded with pyDataverse 2026-01-01 14:30
Comma Separated Values - 5.1 MB - MD5: 4152932f626a6674f45297ad4cc08d0f
Uploaded with pyDataverse 2026-01-01 14:29
Network Common Data Form - 3.6 MB - MD5: 4f7801b2ffc5cc686d0a2831ab88e6f1
Uploaded with pyDataverse 2026-01-01 14:29
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.