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

391 to 400 of 4,225 Results
Mar 27, 2025 - pypromice v1.5.1
Python Source Code - 4.5 KB - MD5: bc5a7836386399b270d9cb5148f12e6c
Uploaded with GitHub Action from GEUS-Glaciology-and-Climate/pypromice.
Mar 27, 2025 - pypromice v1.5.1
Windows Executable - 800 B - MD5: 1287f8ee8e0a1673829dc905d5db4256
Uploaded with GitHub Action from GEUS-Glaciology-and-Climate/pypromice.
Mar 27, 2025 - pypromice v1.5.1
Makefile Script - 634 B - MD5: ef4f00c423089323edef1d3cff31a4a2
Uploaded with GitHub Action from GEUS-Glaciology-and-Climate/pypromice.
Mar 27, 2025 - pypromice v1.5.1
Python Source Code - 9.5 KB - MD5: d1a6afd8da191ea806c50221e2379598
Uploaded with GitHub Action from GEUS-Glaciology-and-Climate/pypromice.
Mar 27, 2025 - pypromice v1.5.1
Plain Text - 63 B - MD5: e83277a19bc1a4bdd570473649cae049
Uploaded with GitHub Action from GEUS-Glaciology-and-Climate/pypromice.
Mar 27, 2025 - pypromice v1.5.1
Unknown - 985 B - MD5: 6bac2a9769ad14fc0d6b7916345c593e
Uploaded with GitHub Action from GEUS-Glaciology-and-Climate/pypromice.
Mar 27, 2025 - pypromice v1.5.1
Python Source Code - 3.3 KB - MD5: 64733cc440fc45f021f0cdda69aa4446
Uploaded with GitHub Action from GEUS-Glaciology-and-Climate/pypromice.
Mar 27, 2025 - pypromice v1.5.1
Unknown - 9.7 KB - MD5: 0c7b6bfc01ae8a0aadeba59086a43ff7
Uploaded with GitHub Action from GEUS-Glaciology-and-Climate/pypromice.
Mar 27, 2025 - pypromice v1.5.1
Markdown Text - 7.9 KB - MD5: d6ee10686df0da41910336e5dc6db54c
Uploaded with GitHub Action from GEUS-Glaciology-and-Climate/pypromice.
Mar 27, 2025 - pypromice v1.5.1
Comma Separated Values - 7.7 KB - MD5: a9dd13b484e5aaebddaa3946697ab6e3
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.