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

431 to 440 of 4,580 Results
Network Common Data Form - 3.9 MB - MD5: 2765ffefc39bcdb314bf268dc5b7ffcb
Uploaded with pyDataverse 2025-10-01 15:00
Comma Separated Values - 10.5 KB - MD5: 0669dec4b4b7aa6118f9e56f1f8cafae
Uploaded with pyDataverse 2025-10-01 15:01
Network Common Data Form - 247.0 KB - MD5: 2cbaed7445eeb5a5dcbf7030ef3f1511
Uploaded with pyDataverse 2025-10-01 15:00
Comma Separated Values - 420.8 KB - MD5: 93f4509aa9e12c6dd8bb51153a630f26
Uploaded with pyDataverse 2025-10-01 13:55
Network Common Data Form - 652.0 KB - MD5: db6bd5789042e2e0d4778b8d3e030da7
Uploaded with pyDataverse 2025-10-01 13:55
Comma Separated Values - 9.6 MB - MD5: b36ab9c8f970c48facb5e5c1fb0ba290
Uploaded with pyDataverse 2025-10-01 13:55
Network Common Data Form - 6.0 MB - MD5: 726c64d73c6fb73732fbc8599dc2d564
Uploaded with pyDataverse 2025-10-01 13:55
Comma Separated Values - 15.5 KB - MD5: b906b132652a8a9686d1ccdd177c0a54
Uploaded with pyDataverse 2025-10-01 13:56
Network Common Data Form - 362.2 KB - MD5: 95fe60b88f5db8c7b08be7555eb25fc9
Uploaded with pyDataverse 2025-10-01 13:56
Comma Separated Values - 323.6 KB - MD5: b91695f5cf54dbbdbf12f23441adaeee
Uploaded with pyDataverse 2025-10-01 13:48
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.