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

1,571 to 1,580 of 4,137 Results
Comma Separated Values - 5.7 KB - MD5: 16a24e0d0d7ff1d0a01b28c578e0e9db
Uploaded with pyDataverse 2023-05-01 00:24
Network Common Data Form - 61.8 KB - MD5: 588e9b63bf67e935477bdc39c289a6f9
Uploaded with pyDataverse 2023-05-01 00:24
Comma Separated Values - 90.7 KB - MD5: f869084fcbbbe8a14db3c9148f23e6a8
Uploaded with pyDataverse 2023-05-01 00:24
Network Common Data Form - 196.9 KB - MD5: 4b6376a8762eb9532e2aaf242d7262f9
Uploaded with pyDataverse 2023-05-01 00:24
Comma Separated Values - 1.8 MB - MD5: 7d0d8e99199276de3dab26aa70910d31
Uploaded with pyDataverse 2023-05-01 00:24
Network Common Data Form - 2.7 MB - MD5: 1ecd98b30ec3c8b51b0aea2f9f380653
Uploaded with pyDataverse 2023-05-01 00:24
Comma Separated Values - 3.8 KB - MD5: d052c55db641d47f8c240e5db7b7e522
Uploaded with pyDataverse 2023-05-01 00:24
Network Common Data Form - 59.5 KB - MD5: bffb513cf3c4b84157f59e4b1cc82049
Uploaded with pyDataverse 2023-05-01 00:24
Comma Separated Values - 25.0 KB - MD5: 441e91459e057d1bfab46dec8a6fea8f
Uploaded with pyDataverse 2023-05-01 00:24
Network Common Data Form - 119.3 KB - MD5: 475b9b6cd0b92f3fe2b8054fde2e9633
Uploaded with pyDataverse 2023-05-01 00:24
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.