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

21 to 30 of 4,543 Results
Comma Separated Values - 103.8 KB - MD5: 9c1d5fb75c97308b26001ddce970778f
Uploaded with pyDataverse 2025-07-01 14:36
Network Common Data Form - 526.8 KB - MD5: 614bd555277c174c3712db5406f6137f
Uploaded with pyDataverse 2025-07-01 14:37
Comma Separated Values - 3.3 MB - MD5: 0b7c59ed11d5d14c42e45dbf7709ce9f
Uploaded with pyDataverse 2025-07-01 14:30
Network Common Data Form - 2.5 MB - MD5: e67daf82e45b627e62f68af8d310772b
Uploaded with pyDataverse 2025-07-01 14:31
Comma Separated Values - 70.4 MB - MD5: aa803eb3b2d63b01bc7c9315af7ab9ea
Uploaded with pyDataverse 2025-07-01 14:31
Network Common Data Form - 29.2 MB - MD5: 6ceb68c39e7fb9a92aec82ff6ff6ee6b
Uploaded with pyDataverse 2025-07-01 14:32
Comma Separated Values - 117.7 KB - MD5: eb8ea8c69491b7e3a1a6540b674eb8c3
Uploaded with pyDataverse 2025-07-01 14:31
Network Common Data Form - 529.1 KB - MD5: 75e6a1e1017882f032dec0c52093f280
Uploaded with pyDataverse 2025-07-01 14:31
Comma Separated Values - 3.4 MB - MD5: 67c1fd3e61c95cb7633a90db316f670a
Uploaded with pyDataverse 2025-07-01 13:39
Network Common Data Form - 2.6 MB - MD5: 33e5498ecab702413d99c298b57426ee
Uploaded with pyDataverse 2025-07-01 13:39
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.