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

411 to 420 of 5,212 Results
Comma Separated Values - 60.0 MB - MD5: 06b343d4b12796c676d1980a0c57513a
Uploaded with pyDataverse 2026-03-03 15:39
Network Common Data Form - 38.4 MB - MD5: cf290dbc45ed0bd03c25bbfe09da8f66
Uploaded with pyDataverse 2026-03-03 15:40
Comma Separated Values - 82.7 KB - MD5: c1c4f5b9e68b02c95938f44f735e9fcd
Uploaded with pyDataverse 2026-03-03 15:39
Network Common Data Form - 436.1 KB - MD5: e7cafbe40bc979eeea3d6ac3a71756f1
Uploaded with pyDataverse 2026-03-03 15:38
Comma Separated Values - 3.3 MB - MD5: c9c3aa4dd032d77f36fd3dcf184f66e5
Uploaded with pyDataverse 2026-03-03 15:19
Network Common Data Form - 2.5 MB - MD5: e2716202e906712597e749b361b445af
Uploaded with pyDataverse 2026-03-03 15:19
Comma Separated Values - 71.0 MB - MD5: 1606d609c8f9328369bed8d0a4da3b6f
Uploaded with pyDataverse 2026-03-03 15:20
Network Common Data Form - 29.9 MB - MD5: 51e8d26a8d161a708b43c6a6ce268294
Uploaded with pyDataverse 2026-03-03 15:20
Comma Separated Values - 112.6 KB - MD5: d998859a2f5d48220713c6b3ebcc87db
Uploaded with pyDataverse 2026-03-03 15:19
Network Common Data Form - 519.4 KB - MD5: 8a70897fc83590ad0d17aa5db8f64a77
Uploaded with pyDataverse 2026-03-03 15:20
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.