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

511 to 520 of 4,583 Results
Network Common Data Form - 28.3 MB - MD5: b157b4e7b8c8456fbfe02601ba775c05
Uploaded with pyDataverse 2025-07-01 14:59
Comma Separated Values - 69.2 KB - MD5: eb03fd520376f5d88dbb31bba2616a18
Uploaded with pyDataverse 2025-07-01 14:59
Network Common Data Form - 393.9 KB - MD5: 84fdd4f077aed47e2828c0e47f3ea0b2
Uploaded with pyDataverse 2025-07-01 14:59
Comma Separated Values - 3.3 MB - MD5: 5737e8d142bd529196bcaee02a2e4dae
Uploaded with pyDataverse 2025-07-01 14:45
Network Common Data Form - 2.5 MB - MD5: 1d9337be685fba0e5c70bcd5a1f13ba4
Uploaded with pyDataverse 2025-07-01 14:45
Comma Separated Values - 69.9 MB - MD5: f2d7bc29ad400393f595d222e4d4a13d
Uploaded with pyDataverse 2025-07-01 14:45
Network Common Data Form - 27.4 MB - MD5: ceb02547e56bd1aa9f269ff91ecfcc50
Uploaded with pyDataverse 2025-07-01 14:45
Comma Separated Values - 119.6 KB - MD5: ea2d0dda000532769b9b4cf7f821222a
Uploaded with pyDataverse 2025-07-01 14:46
Network Common Data Form - 525.4 KB - MD5: 76c600439c29bf3c5138f8bb16cddf76
Uploaded with pyDataverse 2025-07-01 14:46
Comma Separated Values - 3.2 MB - MD5: 8e00698c9de2fba2ef1d18c4b96f72c4
Uploaded with pyDataverse 2025-07-01 13:37
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.