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

121 to 130 of 5,300 Results
Comma Separated Values - 75.7 MB - MD5: 6aed378033177fac3cce6061ed38b29a
Uploaded with pyDataverse 2026-11-07 00:47
Network Common Data Form - 30.7 MB - MD5: f4988e64e8a29dc16b274b87a154e847
Uploaded with pyDataverse 2026-11-07 00:49
Comma Separated Values - 115.5 KB - MD5: 27a0faf6e3551d598da94ba9acc80bbd
Uploaded with pyDataverse 2026-11-07 00:48
Network Common Data Form - 510.4 KB - MD5: 486198fcd758ec3e28f501e917bfb949
Uploaded with pyDataverse 2026-11-07 00:48
Comma Separated Values - 1.7 MB - MD5: 5f1981cf6340bfc10a0c1da114fef137
Uploaded with pyDataverse 2026-11-07 02:20
Network Common Data Form - 1.3 MB - MD5: becf8cf049b8514c9fa361a84f3dd6b8
Uploaded with pyDataverse 2026-11-07 02:21
Comma Separated Values - 41.9 MB - MD5: 26789a5531550d2beaa3ddea94c53619
Uploaded with pyDataverse 2026-11-07 02:20
Network Common Data Form - 17.9 MB - MD5: 8ac327cb6a017214dd26b8106caba979
Uploaded with pyDataverse 2026-11-07 02:19
Comma Separated Values - 58.8 KB - MD5: 539f901fa228a80812f5099c97052be4
Uploaded with pyDataverse 2026-11-07 02:19
Network Common Data Form - 464.3 KB - MD5: 22f8f9a01317df7526af472a4c96d18e
Uploaded with pyDataverse 2026-11-07 02:19
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.