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 5,212 Results
Comma Separated Values - 1.7 MB - MD5: 54bff060bbb602e9a1b3b5426ec74685
Uploaded with pyDataverse 2026-03-03 15:33
Network Common Data Form - 1.3 MB - MD5: bbd961de3152e6632e3299be7b5bdc76
Uploaded with pyDataverse 2026-03-03 15:33
Comma Separated Values - 39.0 MB - MD5: 3ff614cae5b9e133c517f95274b8e1e5
Uploaded with pyDataverse 2026-03-03 15:32
Network Common Data Form - 16.0 MB - MD5: 0f00dd492d9cad71fc341b61edf032dc
Uploaded with pyDataverse 2026-03-03 15:32
Comma Separated Values - 56.8 KB - MD5: 904383f01ab551d86d4792c5453f6d2b
Uploaded with pyDataverse 2026-03-03 15:32
Network Common Data Form - 475.1 KB - MD5: f4f52cf3e1623c39d30e0eaf835519c3
Uploaded with pyDataverse 2026-03-03 15:32
Comma Separated Values - 3.1 MB - MD5: 2fd2382db207fde30bfc17834bf81571
Uploaded with pyDataverse 2026-03-03 15:07
Network Common Data Form - 2.5 MB - MD5: 1cce3328d9a5db9b03ae5f8e01585630
Uploaded with pyDataverse 2026-03-03 15:06
Comma Separated Values - 67.6 MB - MD5: daf60ba61fc61d2a502ba05e3a359094
Uploaded with pyDataverse 2026-03-03 15:07
Network Common Data Form - 30.4 MB - MD5: fe5622b5c8db4d6cb71c5d874be6fa67
Uploaded with pyDataverse 2026-03-03 15:07
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.