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

291 to 300 of 5,329 Results
Comma Separated Values - 107.7 KB - MD5: 28636503f4750a0242889b8eb97aa937
Uploaded with pyDataverse 2026-09-01 15:50
Network Common Data Form - 507.7 KB - MD5: 9e80ce923f34f768185bf7e3aa74b5f6
Uploaded with pyDataverse 2026-09-01 15:52
Comma Separated Values - 149.0 KB - MD5: 0e5fa199c2fd72cc07ce057b4051e23b
Uploaded with pyDataverse 2026-09-01 14:41
Network Common Data Form - 292.0 KB - MD5: 78e1222de8c9f45831aa505280eb6352
Uploaded with pyDataverse 2026-09-01 14:43
Comma Separated Values - 4.0 MB - MD5: 2d6432e08b43af031b1a40fd806aa15c
Uploaded with pyDataverse 2026-09-01 14:42
Network Common Data Form - 2.4 MB - MD5: 22bfa649c11286e9b59d0ca32bd4d5e5
Uploaded with pyDataverse 2026-09-01 14:42
Comma Separated Values - 5.2 KB - MD5: 36ae1dedea1095a2c26e610a1f850f07
Uploaded with pyDataverse 2026-09-01 14:40
Network Common Data Form - 202.3 KB - MD5: 43b3625ae16144041876d05649207b23
Uploaded with pyDataverse 2026-09-01 14:41
Comma Separated Values - 1.5 MB - MD5: ce8419487573b673e12014f155bfd806
Uploaded with pyDataverse 2026-09-01 14:57
Network Common Data Form - 1.4 MB - MD5: 2b4f7f667e8601abc983e54ca78ca094
Uploaded with pyDataverse 2026-09-01 14:55
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.