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 5,344 Results
Comma Separated Values - 1.0 MB - MD5: 799bb8970ba736ee9626af15dd6d39fe
Uploaded with pyDataverse 2026-09-01 15:27
Network Common Data Form - 1.1 MB - MD5: b5c542ee1f76ebdfe74511a5cf8f0a5b
Uploaded with pyDataverse 2026-09-01 15:26
Comma Separated Values - 2.3 KB - MD5: 70760ce9f68873facaad77b5b2e7b7ac
Uploaded with pyDataverse 2026-09-01 15:28
Network Common Data Form - 386.6 KB - MD5: 850be30305c0d0c71e4b82cfbbeaf01d
Uploaded with pyDataverse 2026-09-01 15:26
Comma Separated Values - 3.7 MB - MD5: 179ff66afbf6c1d376e070ac5b76247d
Uploaded with pyDataverse 2026-09-01 15:08
Network Common Data Form - 2.8 MB - MD5: 60b5a1ab232bc74ad0aa42c234e26d96
Uploaded with pyDataverse 2026-09-01 15:06
Comma Separated Values - 85.2 MB - MD5: a475d80feebab3b5d3dfbc478c605a9d
Uploaded with pyDataverse 2026-09-01 15:09
Network Common Data Form - 37.4 MB - MD5: 3e65545a61397597a59e931bcaff4d22
Uploaded with pyDataverse 2026-09-01 15:08
Comma Separated Values - 130.1 KB - MD5: b879a934a7f706a394f96a5b6cd413fc
Uploaded with pyDataverse 2026-09-01 15:07
Network Common Data Form - 517.6 KB - MD5: eb737a0d005f2863a8bd145ba699c48c
Uploaded with pyDataverse 2026-09-01 15:07
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.