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

201 to 210 of 4,608 Results
Comma Separated Values - 42.1 KB - MD5: 3695187688eba22aef5d0cec8b912ddb
Uploaded with pyDataverse 2025-09-01 13:58
Network Common Data Form - 396.7 KB - MD5: a149126711a13e3dbd279e10159fdeeb
Uploaded with pyDataverse 2025-09-01 13:58
Comma Separated Values - 2.3 MB - MD5: 4364357a9efdef9873b07092c5e42767
Uploaded with pyDataverse 2025-09-01 13:40
Network Common Data Form - 2.1 MB - MD5: cf897277e11ee33529381eb7784044a4
Uploaded with pyDataverse 2025-09-01 13:41
Comma Separated Values - 56.0 MB - MD5: 994d53ece955c8cf96f501b1462dec37
Uploaded with pyDataverse 2025-09-01 13:39
Network Common Data Form - 35.9 MB - MD5: c59e02a92004bb4ee64c9dc8aa4e0e9a
Uploaded with pyDataverse 2025-09-01 13:40
Comma Separated Values - 82.5 KB - MD5: f07f6022f8fed61bce16b318a6271a6d
Uploaded with pyDataverse 2025-09-01 13:40
Network Common Data Form - 432.6 KB - MD5: 6892ddb2a31bcdf328fe32e9fb2bb32a
Uploaded with pyDataverse 2025-09-01 13:40
Comma Separated Values - 167.2 KB - MD5: 9d926d120402c3f30d1c454ad2f2bc47
Uploaded with pyDataverse 2025-09-01 14:05
Network Common Data Form - 469.7 KB - MD5: 1f66c249b0923490c91025fd2f78f536
Uploaded with pyDataverse 2025-09-01 14:05
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.