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 4,238 Results
Network Common Data Form - 1.3 MB - MD5: acfdec59a564ec1479a82d61d9e5ac17
Uploaded with pyDataverse 2025-04-03 16:00
Comma Separated Values - 3.3 KB - MD5: 097ea1c33d1ace9d7abe270afa0584bf
Uploaded with pyDataverse 2025-04-03 16:00
Network Common Data Form - 257.0 KB - MD5: 7b6743127096c985b9131cbb79c89a7f
Uploaded with pyDataverse 2025-04-03 15:59
Comma Separated Values - 3.7 MB - MD5: f6039f0f3985d28548378f79197d6d06
Uploaded with pyDataverse 2025-04-03 15:16
Network Common Data Form - 2.8 MB - MD5: b6fc455bd19914ea0d36435668294119
Uploaded with pyDataverse 2025-04-03 15:15
Comma Separated Values - 79.7 MB - MD5: 3777d55a2e363c81a4beab2d185a22d5
Uploaded with pyDataverse 2025-04-03 15:16
Network Common Data Form - 34.1 MB - MD5: 799aa51161a7026303b97b81fc8da3a9
Uploaded with pyDataverse 2025-04-03 15:16
Comma Separated Values - 131.5 KB - MD5: 3c2be6f601151552e109db29fc2b3ea8
Uploaded with pyDataverse 2025-04-03 15:16
Network Common Data Form - 529.8 KB - MD5: c738bb705d7617785b8c7acaf43c4ce8
Uploaded with pyDataverse 2025-04-03 15:15
Comma Separated Values - 1.4 MB - MD5: ad07e3e87cf196c7a438ffbc00060a03
Uploaded with pyDataverse 2025-04-03 15:31
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.