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 to 10 of 5,312 Results
Jun 26, 2026 - Ice velocity
Solgaard, Anne Munck; Kusk, Anders, 2026, "Greenland Ice Velocity from Sentinel-1 Edition 5", https://doi.org/10.22008/FK2/K70OPK, GEUS Dataverse, V11
Greenland Ice Velocity from Sentinel-1 The PROMICE Ice Velocity product is a timeseries of Greenland Ice Sheet velocity mosaics based on ESA Sentinel-1 SAR offset tracking. The product spans the period January 2016 to present. Spatial resolution: 200 m Temporal resolution: A new...
Network Common Data Form - 356.2 MB - MD5: e6dac4a0a1f70aa9e11a5d4626b2a0d9
Data
PNG Image - 2.5 MB - MD5: 9b80a12e037cbd3a4d2e781940f108c0
Image
Network Common Data Form - 331.2 MB - MD5: b1b4320f5c3346c2595ced916255757a
Data
PNG Image - 2.4 MB - MD5: a4fcfad8097de770163f1ba570ae4f9e
Image
Jun 9, 2026 - Automatic weather stations
How, P.; Lund, M.C.; Nielsen, R.B.; Ahlstrøm, A.P.; Fausto, R.S.; Larsen, S.H.; Mankoff, K.D.; Vandecrux, B.; Wright, P.J., 2023, "pypromice v1.12.0", https://doi.org/10.22008/FK2/3TSBF0, GEUS Dataverse, V40
The pypromice toolbox is for retrieving, processing and handling PROMICE (Programme for Monitoring of the Greenland Ice Sheet) and GC-Net (Greenland Climate Network) automated weather station (AWS) data. The content here reflects pypromice releases for processing and handling the...
Jun 9, 2026 - pypromice v1.12.0
Python Source Code - 2.0 KB - MD5: 539b4397b1585188ff9199593e1913a0
Uploaded with GitHub Action from GEUS-Glaciology-and-Climate/pypromice.
Jun 9, 2026 - pypromice v1.12.0
Python Source Code - 6.0 KB - MD5: c9b94fd1d54f364806f4bc904d8bd585
Uploaded with GitHub Action from GEUS-Glaciology-and-Climate/pypromice.
Jun 9, 2026 - pypromice v1.12.0
Python Source Code - 1.4 KB - MD5: 5b6e1ede0413c426b8d1b2e75ebf1b6b
Uploaded with GitHub Action from GEUS-Glaciology-and-Climate/pypromice.
Jun 9, 2026 - pypromice v1.12.0
Python Source Code - 503 B - MD5: b99cfb70d6e8fcd2183993ded5741d5c
Uploaded with GitHub Action from GEUS-Glaciology-and-Climate/pypromice.
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.