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

391 to 400 of 5,283 Results
Network Common Data Form - 407.9 KB - MD5: dfdf80d2b922a790057bd15f3627738d
Uploaded with pyDataverse 2026-04-01 14:42
Comma Separated Values - 2.0 MB - MD5: 4f73fe4b41685033f0a18bc594903fdd
Uploaded with pyDataverse 2026-04-01 15:40
Network Common Data Form - 1.8 MB - MD5: c069763724570a56c4f717545e5aa1e8
Uploaded with pyDataverse 2026-04-01 15:41
Comma Separated Values - 48.7 MB - MD5: c03251e7f6309f917658d48209f42b93
Uploaded with pyDataverse 2026-04-01 15:39
Network Common Data Form - 28.2 MB - MD5: bb7dc718f65660d2d23ff23e36f0d4aa
Uploaded with pyDataverse 2026-04-01 15:41
Comma Separated Values - 68.6 KB - MD5: 4e9a8ddefd4800a633262e4f97a90793
Uploaded with pyDataverse 2026-04-01 15:40
Network Common Data Form - 403.7 KB - MD5: 49b9448432df689bf22d2c43eb5e41d7
Uploaded with pyDataverse 2026-04-01 15:39
Comma Separated Values - 919.8 KB - MD5: d8998f5866606307dcd7ef3e398d0df2
Uploaded with pyDataverse 2026-04-01 14:30
Network Common Data Form - 1.0 MB - MD5: e581669d0f31c1a443b8edd3a29f3a9f
Uploaded with pyDataverse 2026-04-01 14:31
Comma Separated Values - 22.7 MB - MD5: 90228f439461e5f0029807904593b38f
Uploaded with pyDataverse 2026-04-01 14:30
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.