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

331 to 340 of 4,238 Results
Comma Separated Values - 8.7 KB - MD5: caf9249b566a8e09b6e02cf8f244e806
Uploaded with pyDataverse 2025-04-03 15:11
Network Common Data Form - 441.3 KB - MD5: 026d0a853cb8a265a97ee1481e38ba49
Uploaded with pyDataverse 2025-04-03 15:12
Comma Separated Values - 372.7 KB - MD5: 4aabf1164cd3c621c1934f76b83a3447
Uploaded with pyDataverse 2025-04-03 15:18
Network Common Data Form - 609.3 KB - MD5: e0957237f17911de26d87532f6301f6b
Uploaded with pyDataverse 2025-04-03 15:19
Comma Separated Values - 8.6 MB - MD5: bb9ff580dde00c64b856a4495c1a9b12
Uploaded with pyDataverse 2025-04-03 15:19
Network Common Data Form - 5.0 MB - MD5: 52b00415f2d83ebe907d958e0cc55342
Uploaded with pyDataverse 2025-04-03 15:18
Comma Separated Values - 14.3 KB - MD5: 62d93d83855385b8093026ffaacf0c0b
Uploaded with pyDataverse 2025-04-03 15:18
Network Common Data Form - 360.3 KB - MD5: cdeecae679b151e308b983439f9dbc6d
Uploaded with pyDataverse 2025-04-03 15:18
Comma Separated Values - 290.0 KB - MD5: 17b6c25eb1a85e7c30818a399ccd0ae2
Uploaded with pyDataverse 2025-04-03 16:11
Network Common Data Form - 556.3 KB - MD5: 91625cfa603c1040848fec29a42e9ac8
Uploaded with pyDataverse 2025-04-03 16:10
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.