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

331 to 340 of 4,674 Results
Comma Separated Values - 9.5 KB - MD5: 73ad47305b29357f4faa3898c155e95f
Uploaded with pyDataverse 2025-12-03 17:02
Network Common Data Form - 338.3 KB - MD5: 0747ef5497bb6c2c81ab1087365dca29
Uploaded with pyDataverse 2025-12-03 17:02
Comma Separated Values - 2.5 MB - MD5: 593f823a1e88535dc2badffdccc96a20
Uploaded with pyDataverse 2025-12-03 16:33
Network Common Data Form - 2.3 MB - MD5: aab7c9c84731e6781ee77803611aefe9
Uploaded with pyDataverse 2025-12-03 16:34
Comma Separated Values - 62.3 MB - MD5: cf145de967f054df465704fc2f76a5ce
Uploaded with pyDataverse 2025-12-03 16:35
Network Common Data Form - 42.4 MB - MD5: d70c351d42ce3fe15ece809b08900af2
Uploaded with pyDataverse 2025-12-03 16:33
Comma Separated Values - 87.3 KB - MD5: da4202def07f1ef0fd33d2f64d03676b
Uploaded with pyDataverse 2025-12-03 16:34
Network Common Data Form - 439.9 KB - MD5: aeb03073a85783f134321fc6bec0680e
Uploaded with pyDataverse 2025-12-03 16:34
Comma Separated Values - 1.3 MB - MD5: 39fe052630b4bba81fca7f20f0962b08
Uploaded with pyDataverse 2025-12-03 16:30
Network Common Data Form - 1.3 MB - MD5: c9de7fa0226a0945254cb99e92b0b598
Uploaded with pyDataverse 2025-12-03 16:30
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.