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

211 to 220 of 5,365 Results
Network Common Data Form - 2.6 MB - MD5: 3f624a586552c2d1ef50afee255881e0
Uploaded with pyDataverse 2026-11-07 02:03
Comma Separated Values - 73.7 MB - MD5: 5f898bed8280f6a1cf2fb0beb8462a33
Uploaded with pyDataverse 2026-11-07 02:04
Network Common Data Form - 32.2 MB - MD5: 093e8fb09f90445f445cdfde12c2fd9b
Uploaded with pyDataverse 2026-11-07 02:04
Comma Separated Values - 114.7 KB - MD5: f55d9b4d4d2509fc95153192bb792eb6
Uploaded with pyDataverse 2026-11-07 02:03
Network Common Data Form - 506.7 KB - MD5: 2177cbf4744bd666d64100a8760b3aea
Uploaded with pyDataverse 2026-11-07 02:05
Comma Separated Values - 3.3 MB - MD5: 0139e1a8f721b6a579f6fb00c688ad72
Uploaded with pyDataverse 2026-11-07 01:54
Network Common Data Form - 2.5 MB - MD5: 078fc597d2d9cbcc88a954163314fb0d
Uploaded with pyDataverse 2026-11-07 01:53
Comma Separated Values - 73.6 MB - MD5: 9ce393e75b06442d39cf09a6a91961a5
Uploaded with pyDataverse 2026-11-07 01:53
Network Common Data Form - 32.3 MB - MD5: bcfa023906aad28cb65796cca7050f22
Uploaded with pyDataverse 2026-11-07 01:52
Comma Separated Values - 112.5 KB - MD5: 191951d3586ca1b773cf2ef4e2a6fbb3
Uploaded with pyDataverse 2026-11-07 01:54
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.