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

281 to 290 of 5,344 Results
Comma Separated Values - 1.7 MB - MD5: e7c152570698dbbb4b8eaec431cfe62c
Uploaded with pyDataverse 2026-09-01 16:26
Network Common Data Form - 1.3 MB - MD5: 82c1126393061d44f792e77e6e27b2cd
Uploaded with pyDataverse 2026-09-01 16:27
Comma Separated Values - 40.4 MB - MD5: a4044bc0d34d64a0e3942c3bea21f865
Uploaded with pyDataverse 2026-09-01 16:26
Network Common Data Form - 17.3 MB - MD5: c810f53acb2689eeca329773bad8aa36
Uploaded with pyDataverse 2026-09-01 16:25
Comma Separated Values - 57.5 KB - MD5: 07f589812a33b9f1ba1ef31f877ab47b
Uploaded with pyDataverse 2026-09-01 16:24
Network Common Data Form - 462.7 KB - MD5: 7e377884dc03235c78c05fee10514343
Uploaded with pyDataverse 2026-09-01 16:25
Comma Separated Values - 3.1 MB - MD5: 3a72046e5ffc76830ab0831d6fda8c31
Uploaded with pyDataverse 2026-09-01 15:51
Network Common Data Form - 2.5 MB - MD5: 559ccd8264ef3e6c27fdc186d42a442f
Uploaded with pyDataverse 2026-09-01 15:50
Comma Separated Values - 68.9 MB - MD5: d50b9cd7e8b14361bcb01cc419fc9862
Uploaded with pyDataverse 2026-09-01 15:51
Network Common Data Form - 31.4 MB - MD5: d5dd03431f69c242d3295614663de859
Uploaded with pyDataverse 2026-09-01 15:52
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.