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

21 to 30 of 5,365 Results
Network Common Data Form - 33.9 MB - MD5: a4e189b80e26d6e2d84f77c9c802a897
Uploaded with pyDataverse 2026-11-07 00:50
Comma Separated Values - 121.7 KB - MD5: cd5a7476687d59aa0c2537d9393869ee
Uploaded with pyDataverse 2026-11-07 00:51
Network Common Data Form - 513.1 KB - MD5: b4be655d7e9e4225f0be76f68539583a
Uploaded with pyDataverse 2026-11-07 00:49
Comma Separated Values - 1.7 MB - MD5: 423462a276fce1c6cbfd49535030fb4f
Uploaded with pyDataverse 2026-11-07 01:56
Network Common Data Form - 1.6 MB - MD5: eaff64190def995e98e7f7a0b4493a09
Uploaded with pyDataverse 2026-11-07 01:55
Comma Separated Values - 45.5 MB - MD5: 64c2eaf7db7552fce9adcc552b7f5621
Uploaded with pyDataverse 2026-11-07 01:56
Network Common Data Form - 28.5 MB - MD5: 6d79b3ad1be80e92d4b5a4a36d096a08
Uploaded with pyDataverse 2026-11-07 01:56
Comma Separated Values - 58.1 KB - MD5: 278aa14cbaf6d7818595ac8b3bab1071
Uploaded with pyDataverse 2026-11-07 01:57
Network Common Data Form - 449.4 KB - MD5: 3b2c5655aebef57eea4b575a1e610f0f
Uploaded with pyDataverse 2026-11-07 01:55
Comma Separated Values - 1.4 MB - MD5: 6d5c70421556c0f79f20b4f6408292d7
Uploaded with pyDataverse 2026-11-07 02:13
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.