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

381 to 390 of 5,287 Results
Apr 29, 2026 - pypromice v1.11.0
Python Source Code - 0 B - MD5: d41d8cd98f00b204e9800998ecf8427e
Uploaded with GitHub Action from GEUS-Glaciology-and-Climate/pypromice.
Apr 29, 2026 - pypromice v1.11.0
Python Source Code - 162 B - MD5: c940541167b9939e8e4d75db5b44809a
Uploaded with GitHub Action from GEUS-Glaciology-and-Climate/pypromice.
Apr 29, 2026 - pypromice v1.11.0
Python Source Code - 0 B - MD5: d41d8cd98f00b204e9800998ecf8427e
Uploaded with GitHub Action from GEUS-Glaciology-and-Climate/pypromice.
Apr 29, 2026 - pypromice v1.11.0
text/prs.fallenstein.rst - 1.8 KB - MD5: 6874e023c6471f0928f0a192d4899d65
Uploaded with GitHub Action from GEUS-Glaciology-and-Climate/pypromice.
Apr 29, 2026 - pypromice v1.11.0
Python Source Code - 4.5 KB - MD5: b86cb61c96e41659c2dbbc07cd07b869
Uploaded with GitHub Action from GEUS-Glaciology-and-Climate/pypromice.
Apr 29, 2026 - pypromice v1.11.0
Python Source Code - 21.1 KB - MD5: b2828c2c2220796150412ee31366b5cd
Uploaded with GitHub Action from GEUS-Glaciology-and-Climate/pypromice.
Apr 29, 2026 - pypromice v1.11.0
Python Source Code - 8.8 KB - MD5: c072bc3c715d18eaddc06ce8b91bd6e6
Uploaded with GitHub Action from GEUS-Glaciology-and-Climate/pypromice.
Apr 29, 2026 - pypromice v1.11.0
Python Source Code - 3.5 KB - MD5: 23fd594eb74703b3c5c4563e22bf99dc
Uploaded with GitHub Action from GEUS-Glaciology-and-Climate/pypromice.
Apr 29, 2026 - pypromice v1.11.0
Python Source Code - 13.8 KB - MD5: fd1df873ac8ee9d9388b94a944810b87
Uploaded with GitHub Action from GEUS-Glaciology-and-Climate/pypromice.
Apr 29, 2026 - pypromice v1.11.0
Python Source Code - 10.0 KB - MD5: bd356f0dfbdcd37d1c9f81a345e47e86
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.