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

371 to 380 of 5,365 Results
PNG Image - 3.2 MB - MD5: eb71e8ad27efe4c413c2a3f0f8af689d
Image
Network Common Data Form - 295.0 MB - MD5: e50073ac658dcb10093ec79c5d8569ea
Data
Network Common Data Form - 358.9 MB - MD5: 28742343121fd0467f5cd50a9612f6af
Data
PNG Image - 3.7 MB - MD5: 74f4762aefaa92f798933ed25c443d15
Image
Network Common Data Form - 349.1 MB - MD5: 94006312d228d98a6421e7e180cd7be1
Data
PNG Image - 3.6 MB - MD5: 3fb5daa5e770d03e02ab1ce104045b44
Image
Oct 20, 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 v1.13.1", https://doi.org/10.22008/FK2/3TSBF0, GEUS Dataverse, V44
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...
Oct 20, 2026 - pypromice v1.13.1
Python Source Code - 2.0 KB - MD5: 539b4397b1585188ff9199593e1913a0
Uploaded with GitHub Action from GEUS-Glaciology-and-Climate/pypromice.
Oct 20, 2026 - pypromice v1.13.1
Python Source Code - 6.4 KB - MD5: 1ac27aa1b746c1be03ffc706564bc0d5
Uploaded with GitHub Action from GEUS-Glaciology-and-Climate/pypromice.
Oct 20, 2026 - pypromice v1.13.1
Python Source Code - 1.4 KB - MD5: 5b6e1ede0413c426b8d1b2e75ebf1b6b
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.