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

101 to 110 of 4,606 Results
Comma Separated Values - 2.0 MB - MD5: 2bc738eb10ce79ff4227bd6705581648
Uploaded with pyDataverse 2025-09-01 14:59
Network Common Data Form - 1.8 MB - MD5: 6a698266b235c584ad49dee57f98eaca
Uploaded with pyDataverse 2025-09-01 14:58
Comma Separated Values - 45.7 MB - MD5: aef4c1a891d6531907375f209e01cc66
Uploaded with pyDataverse 2025-09-01 14:59
Network Common Data Form - 28.7 MB - MD5: d18a18e087388e955835b48817e63070
Uploaded with pyDataverse 2025-09-01 14:58
Comma Separated Values - 70.6 KB - MD5: 26b650cf3c5f0d5a6911af199a1a12ad
Uploaded with pyDataverse 2025-09-01 14:57
Network Common Data Form - 395.4 KB - MD5: f0e90c209eebfc73fa2df949bc180001
Uploaded with pyDataverse 2025-09-01 14:58
Comma Separated Values - 3.4 MB - MD5: 43ba3cd2af466531c5ac800e53f08c2f
Uploaded with pyDataverse 2025-09-01 14:44
Network Common Data Form - 2.5 MB - MD5: 1a5107cd4987f7524b504b045e78f358
Uploaded with pyDataverse 2025-09-01 14:43
Comma Separated Values - 70.6 MB - MD5: 3ede57ea3e633b5e5ebbccc9556bfcd8
Uploaded with pyDataverse 2025-09-01 14:44
Network Common Data Form - 27.8 MB - MD5: a79fcfb6f142ba12ea491cc37d0017f5
Uploaded with pyDataverse 2025-09-01 14:43
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.