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 5,212 Results
Comma Separated Values - 87.6 KB - MD5: 871d5b1f0b2e51f3d817869603ad6713
Uploaded with pyDataverse 2026-03-03 15:40
Network Common Data Form - 442.0 KB - MD5: aca2e5f81fe987251fb453e16b198e30
Uploaded with pyDataverse 2026-03-03 15:41
Comma Separated Values - 278.9 KB - MD5: ef4ead74c4c00f62046eb11804d5ec1c
Uploaded with pyDataverse 2026-03-03 15:21
Network Common Data Form - 525.8 KB - MD5: c1fda1cd8be5f69e996cd3147fd89565
Uploaded with pyDataverse 2026-03-03 15:22
Comma Separated Values - 6.8 MB - MD5: 790b040d8e9d20f4c15bf20ebe878dc3
Uploaded with pyDataverse 2026-03-03 15:22
Network Common Data Form - 4.0 MB - MD5: 8d9e00e29add997f290dc2a243be0833
Uploaded with pyDataverse 2026-03-03 15:22
Comma Separated Values - 9.5 KB - MD5: 73ad47305b29357f4faa3898c155e95f
Uploaded with pyDataverse 2026-03-03 15:21
Network Common Data Form - 338.3 KB - MD5: 919d16dbf7b5c99c4b9cad4d7532caab
Uploaded with pyDataverse 2026-03-03 15:21
Comma Separated Values - 2.6 MB - MD5: 29d794fa0b7768897101f92a5b3e6fa0
Uploaded with pyDataverse 2026-03-03 14:54
Network Common Data Form - 2.3 MB - MD5: 383b54124e716815f89b4cca11f5df0a
Uploaded with pyDataverse 2026-03-03 14:54
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.