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

261 to 270 of 4,238 Results
Network Common Data Form - 1.4 MB - MD5: 55c009ea4932ae49d244e2dd8d1d117e
Uploaded with pyDataverse 2025-04-03 15:30
Comma Separated Values - 34.3 MB - MD5: a2240e950e773163ff02889837975490
Uploaded with pyDataverse 2025-04-03 15:31
Network Common Data Form - 21.2 MB - MD5: a08ed057bbb8c5cb2a420a62ce964017
Uploaded with pyDataverse 2025-04-03 15:31
Comma Separated Values - 50.5 KB - MD5: cd3bcb2f0a02445eb697cf83c9d3bf24
Uploaded with pyDataverse 2025-04-03 15:30
Network Common Data Form - 401.6 KB - MD5: f24d066e288af7c3819934c945597f4d
Uploaded with pyDataverse 2025-04-03 15:30
Comma Separated Values - 1.9 MB - MD5: b6d52f03c002d3071eefc7cc0688660a
Uploaded with pyDataverse 2025-04-03 16:06
Network Common Data Form - 1.7 MB - MD5: d4a46ca345c71f58ed892c4ccff223d0
Uploaded with pyDataverse 2025-04-03 16:06
Comma Separated Values - 44.2 MB - MD5: 48d18f99cd48afa8a4ea5ad2f5c3530e
Uploaded with pyDataverse 2025-04-03 16:05
Network Common Data Form - 25.9 MB - MD5: 5d9b5c36f08d7b41905bb69015e8b6dd
Uploaded with pyDataverse 2025-04-03 16:06
Comma Separated Values - 70.2 KB - MD5: a5dd24ec378b6261e78b833e91ee913a
Uploaded with pyDataverse 2025-04-03 16:06
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.