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

251 to 260 of 5,212 Results
Comma Separated Values - 107.4 KB - MD5: d0a3a0f2fdba70ccc5ae29812a992e5d
Uploaded with pyDataverse 2026-03-03 15:51
Network Common Data Form - 517.0 KB - MD5: 6ce504dcf3f02789734f14da39592097
Uploaded with pyDataverse 2026-03-03 15:50
Comma Separated Values - 2.9 MB - MD5: 5aa02573717d1927ddbcd8d28994ba46
Uploaded with pyDataverse 2026-03-03 16:03
Network Common Data Form - 2.3 MB - MD5: 8d5ec38481db7457f3d84405233ccfd8
Uploaded with pyDataverse 2026-03-03 16:03
Comma Separated Values - 64.5 MB - MD5: 64f7f1665537ed3f11be55e8c3fa2d5e
Uploaded with pyDataverse 2026-03-03 16:04
Network Common Data Form - 27.1 MB - MD5: 25ce6dd27e9850c776f5a122c4715f80
Uploaded with pyDataverse 2026-03-03 16:02
Comma Separated Values - 100.6 KB - MD5: 7e08fdfa24bf54a30a2c617ab66b1bab
Uploaded with pyDataverse 2026-03-03 16:04
Network Common Data Form - 505.1 KB - MD5: cef4a658bd5c62039d106d6df40aef89
Uploaded with pyDataverse 2026-03-03 16:02
Comma Separated Values - 1.1 MB - MD5: 8a10b2ee59c2c5572b1a88db5a5f2369
Uploaded with pyDataverse 2026-03-03 14:53
Network Common Data Form - 1.0 MB - MD5: 2b22582b7630f8f65075535022f5647a
Uploaded with pyDataverse 2026-03-03 14:52
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.