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

341 to 350 of 4,674 Results
Comma Separated Values - 31.4 MB - MD5: ab907b123a8047f56990f4bda126d00a
Uploaded with pyDataverse 2025-12-03 16:29
Network Common Data Form - 20.4 MB - MD5: 8a270e06d1aa590593b1806b3bfbf994
Uploaded with pyDataverse 2025-12-03 16:30
Comma Separated Values - 44.4 KB - MD5: fcade2fbb1a710a42d0e09b2a7572f1a
Uploaded with pyDataverse 2025-12-03 16:29
Network Common Data Form - 405.1 KB - MD5: 2db13b747cb5b0040086cb0cb7367972
Uploaded with pyDataverse 2025-12-03 16:29
Comma Separated Values - 2.3 MB - MD5: 7b775425e4b7bd8bc3e19a286fcd61b8
Uploaded with pyDataverse 2025-12-03 16:06
Network Common Data Form - 2.1 MB - MD5: 1fbd87f36cae1d56fa3119ccc43d11e4
Uploaded with pyDataverse 2025-12-03 16:07
Comma Separated Values - 57.1 MB - MD5: 112bfe1ea4fc8d3333e07baf84b9b2b1
Uploaded with pyDataverse 2025-12-03 16:05
Network Common Data Form - 36.7 MB - MD5: d6210ac6f1a8508c0d93dfe6ffbaaee5
Uploaded with pyDataverse 2025-12-03 16:06
Comma Separated Values - 79.1 KB - MD5: 8913cafae3ffd22f71d823460590b9e9
Uploaded with pyDataverse 2025-12-03 16:07
Network Common Data Form - 434.2 KB - MD5: 998a85e0beb3f1dfb057f3e9ef43e70c
Uploaded with pyDataverse 2025-12-03 16:06
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.