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

311 to 320 of 5,293 Results
Comma Separated Values - 9.5 KB - MD5: 253d251321f1425aae704f5ed2b76057
Uploaded with pyDataverse 2026-06-01 15:57
Network Common Data Form - 338.3 KB - MD5: 4baad223d9d86a42c82e7ef72ff17632
Uploaded with pyDataverse 2026-06-01 15:56
Comma Separated Values - 2.6 MB - MD5: d47f6bc285d6354af31a3679585de129
Uploaded with pyDataverse 2026-06-01 15:19
Network Common Data Form - 2.4 MB - MD5: bd1723583ef5dda4e0a06be127608ce2
Uploaded with pyDataverse 2026-06-01 15:20
Comma Separated Values - 63.9 MB - MD5: 90fc6b4e4f102c123ebd977558f70a35
Uploaded with pyDataverse 2026-06-01 15:21
Network Common Data Form - 43.3 MB - MD5: b770d92a7e57fa594ee6223cd85d2f01
Uploaded with pyDataverse 2026-06-01 15:19
Comma Separated Values - 89.5 KB - MD5: 29fddf3ebcc46227acadb559a8899576
Uploaded with pyDataverse 2026-06-01 15:21
Network Common Data Form - 444.8 KB - MD5: 9b5dafd14f66c7074cfff81885435365
Uploaded with pyDataverse 2026-06-01 15:20
Comma Separated Values - 1.4 MB - MD5: 95859b475d53693f327487c78bf9d5cc
Uploaded with pyDataverse 2026-06-01 15:15
Network Common Data Form - 1.4 MB - MD5: f6fa6a5b6f52f306f014927932c27b8c
Uploaded with pyDataverse 2026-06-01 15:14
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.