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 4,606 Results
Comma Separated Values - 3.7 MB - MD5: 398d35143d1b5232fd2af0ea92a8000a
Uploaded with pyDataverse 2025-09-01 13:48
Network Common Data Form - 2.8 MB - MD5: 5f34c45d106b9f50fb6f27aff4a6cfb1
Uploaded with pyDataverse 2025-09-01 13:47
Comma Separated Values - 81.1 MB - MD5: cdf40271e51f7011a892556e6aa6f72c
Uploaded with pyDataverse 2025-09-01 13:48
Network Common Data Form - 34.9 MB - MD5: bf931718ad3713ace9dac84206ac30e0
Uploaded with pyDataverse 2025-09-01 13:48
Comma Separated Values - 133.6 KB - MD5: c3d268c46171503bc5188dab1cad7bdf
Uploaded with pyDataverse 2025-09-01 13:48
Network Common Data Form - 531.8 KB - MD5: 03d3e7615822ece0f7c8951d092c989f
Uploaded with pyDataverse 2025-09-01 13:47
Comma Separated Values - 1.5 MB - MD5: 44eec31fcdf4f6e90689ba3c502ab3d1
Uploaded with pyDataverse 2025-09-01 14:07
Network Common Data Form - 1.4 MB - MD5: d1e76bf43f262077c66113a183d4a3fb
Uploaded with pyDataverse 2025-09-01 14:06
Comma Separated Values - 35.4 MB - MD5: 20f0a31f373c348ccf0a164bab0a99e2
Uploaded with pyDataverse 2025-09-01 14:06
Network Common Data Form - 21.5 MB - MD5: cad7107ebcad088830c63657cc1d5488
Uploaded with pyDataverse 2025-09-01 14:07
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.