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

3,761 to 3,770 of 4,141 Results
PNG Image - 20.9 KB - MD5: 0525da1eed3893f44780c76f911740cf
Hierarchical Data Format - 89.0 KB - MD5: 6b41725c2cbab030dba4b0be603f8ec0
PNG Image - 73.9 KB - MD5: aad1b631ab782b62363766361161d603
TIFF Image - 893 B - MD5: be7b1f7dcc1f9ec82310b8d50aea9531
TIFF Image - 53.7 KB - MD5: 701f186732a1827720d85f902379b664
TIFF Image - 11.7 KB - MD5: addd108c3b2bd3f9fb610a528de61a1d
Hierarchical Data Format - 89.0 KB - MD5: 1af8aa0b3677b06b802a65d4bf54c137
TIFF Image - 9.6 KB - MD5: ebb03623ddb3a0bb3d92662d5b902dfa
XML - 154 B - MD5: a5a657222a7e11aea110e18f70c0496d
TIFF Image - 401.2 KB - MD5: 3c5bc7633c3f72ed56dede9823c199ee
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.