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

461 to 470 of 4,611 Results
Network Common Data Form - 14.1 MB - MD5: df0f1dcec1bda86c201838c10e0997ce
Uploaded with pyDataverse 2026-01-01 15:27
Comma Separated Values - 39.2 KB - MD5: 6ba6aa56650255dca37824de063a45da
Uploaded with pyDataverse 2026-01-01 15:28
Network Common Data Form - 382.4 KB - MD5: c5480ebee05b1394c277f2a66a283429
Uploaded with pyDataverse 2026-01-01 15:29
Dec 16, 2025 - Watson River Discharge
Plain Text - 3.3 KB - MD5: 3023bd6a0477ee16d7bd7a84dc1497b4
Dec 15, 2025 - Watson River Discharge
Adobe PDF - 64.5 KB - MD5: 50298f41863f2c931b126a1556a8b777
Dec 15, 2025 - Watson River Discharge
Plain Text - 2.8 KB - MD5: 080a34e1e91543ee9a6b2f162ef324c5
Yearly Watson River Discharge data from 1949 to 2025
Dec 15, 2025 - Watson River Discharge
Plain Text - 561.9 KB - MD5: db24ab80d1cc8d69a6838e57f2c9c4f7
Daily Watson River Discharge data from 2006 to 2025
Dec 15, 2025 - Watson River Discharge
Adobe PDF - 475.6 KB - MD5: 1f7f78d3ee0d1056fb655a0a0aabaa2d
Dec 15, 2025 - Watson River Discharge
Plain Text - 13.5 MB - MD5: 90f1e894e5e214d79fe912a020c9ab51
Hourly Watson River Discharge data from 2006 to 2025
Dec 15, 2025 - Watson River Discharge
Adobe PDF - 3.6 MB - MD5: 3b3467a5b95157dbc5973db0f813bf42
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.