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

231 to 240 of 5,302 Results
Comma Separated Values - 113.2 KB - MD5: 3beb0c56ab99caa9d0a0e21e0c2a774b
Uploaded with pyDataverse 2026-05-01 15:08
Network Common Data Form - 520.0 KB - MD5: 172385bddf18e05a767ced8cd220510f
Uploaded with pyDataverse 2026-05-01 15:10
Comma Separated Values - 3.2 MB - MD5: cabdda243c88fa5935d5c2d823214a00
Uploaded with pyDataverse 2026-05-01 15:00
Network Common Data Form - 2.4 MB - MD5: 2f14fef1f5ea3430c67f6a08bc40faf7
Uploaded with pyDataverse 2026-05-01 14:59
Comma Separated Values - 70.0 MB - MD5: 26b7bad113fe93c2ac82145a37d544ad
Uploaded with pyDataverse 2026-05-01 14:59
Network Common Data Form - 30.2 MB - MD5: 4d39bcca52d4218b9ace1b4ce500ce7e
Uploaded with pyDataverse 2026-05-01 14:59
Comma Separated Values - 110.3 KB - MD5: 188f286fe846bd581d1618343ab86c5b
Uploaded with pyDataverse 2026-05-01 15:00
Network Common Data Form - 518.1 KB - MD5: c225c45f96bdf5105220d7e1ea39ba19
Uploaded with pyDataverse 2026-05-01 14:58
Comma Separated Values - 157.6 KB - MD5: a59e7f96bb9be38c7dacb2d2f3c65e57
Uploaded with pyDataverse 2026-05-01 15:35
Network Common Data Form - 324.5 KB - MD5: c83b3550fb06d647d4afc50979729639
Uploaded with pyDataverse 2026-05-01 15:35
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.