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

221 to 230 of 4,623 Results
Comma Separated Values - 64.6 MB - MD5: 79d00fee73c4994c87a1332895235c0a
Uploaded with pyDataverse 2025-10-01 14:26
Network Common Data Form - 42.0 MB - MD5: 78f962086dd2976cad8c1c94f2eb207c
Uploaded with pyDataverse 2025-10-01 14:25
Comma Separated Values - 94.3 KB - MD5: a3e8bb4ffe00a6e22313cd9a61f0c4f1
Uploaded with pyDataverse 2025-10-01 14:25
Network Common Data Form - 502.3 KB - MD5: 2ad9458a17cae141cc8ef5c182f4dee2
Uploaded with pyDataverse 2025-10-01 14:24
Comma Separated Values - 2.2 MB - MD5: cc3ff500875d53b06f022fedea0bf892
Uploaded with pyDataverse 2025-10-01 15:02
Network Common Data Form - 1.9 MB - MD5: 6ab7b75ee791c21b53e61b2beb6de2a2
Uploaded with pyDataverse 2025-10-01 15:01
Comma Separated Values - 52.1 MB - MD5: a94a1433d236a0c3b74a738b8414f959
Uploaded with pyDataverse 2025-10-01 15:03
Network Common Data Form - 33.2 MB - MD5: 63c032933159f28acb8105e695157ca1
Uploaded with pyDataverse 2025-10-01 15:02
Comma Separated Values - 78.5 KB - MD5: 734f8e9aab996e1a04504e4fd9727a18
Uploaded with pyDataverse 2025-10-01 15:02
Network Common Data Form - 395.9 KB - MD5: c38befb202b3d9b474d85fe4f82a7725
Uploaded with pyDataverse 2025-10-01 15:01
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.