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

151 to 160 of 4,674 Results
Jan 23, 2026 - pypromice v1.9.3
Comma Separated Values - 116 B - MD5: ff6e310fa4da557aef026f458c0c3bfa
Uploaded with GitHub Action from GEUS-Glaciology-and-Climate/pypromice.
Jan 23, 2026 - pypromice v1.9.3
Comma Separated Values - 13.9 KB - MD5: 7fb0a9cb4ec3469add48484503dab76d
Uploaded with GitHub Action from GEUS-Glaciology-and-Climate/pypromice.
Jan 23, 2026 - pypromice v1.9.3
Unknown - 231 B - MD5: 83d450a466c6b478b791dd751e2b243c
Uploaded with GitHub Action from GEUS-Glaciology-and-Climate/pypromice.
Jan 23, 2026 - pypromice v1.9.3
Python Source Code - 1.7 KB - MD5: 7bd8bda04e9284075dfb2044e20cc87d
Uploaded with GitHub Action from GEUS-Glaciology-and-Climate/pypromice.
Jan 23, 2026 - pypromice v1.9.3
Python Source Code - 15.5 KB - MD5: 80c2228d4c4cd86d2b638bd2090cba1c
Uploaded with GitHub Action from GEUS-Glaciology-and-Climate/pypromice.
Jan 12, 2026 - Automatic weather stations
How, P.; Lund, M.C.; Ahlstrøm, A.P.; Andersen, S.B.; Box, J.E.; Citterio, M.; Colgan, W.T.; Fausto, R.S.; Karlsson, N.B.; Jakobsen, J.; Jakobsgaard, H.T.; Larsen, S.H.; Mankoff, K.D.; Nielsen, R.B.; Rutishauser, A.; Shield, C.L.; Solgaard, A.M.; Stevens, I.T.; van As, D.; Vandecrux, B.; Abermann, J.; Bjørk, A.A.; Langley, K.; Lea, J.; Messerli, A.; Prinz, R., 2022, "PROMICE and GC-Net automated weather station data in Greenland", https://doi.org/10.22008/FK2/IW73UU, GEUS Dataverse, V33
PROMICE and GC-Net automated weather station (AWS) data in Greenland. The data is available either as csv or netcdf files. Station locations, installation (if necessary, decommission) date, location type (tundra, ice sheet, local glacier), station type (one or two levels of measu...
Adobe PDF - 101.6 KB - MD5: 71015ed8dce6541fb94cb31df280943d
Uploaded with pyDataverse 2026-01-01 15:40
Comma Separated Values - 222 B - MD5: 72b3ab8744db9ae92e78c6b5ba1d0149
Uploaded with pyDataverse 2026-01-01 15:39
Comma Separated Values - 6.0 KB - MD5: ea7f478d0ee1bc0610f0ca32791d3548
Uploaded with pyDataverse 2026-01-01 15:39
Comma Separated Values - 2.8 MB - MD5: 6092f63847064c11479ad761960dd895
Uploaded with pyDataverse 2026-01-01 15:07
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.