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

1 to 10 of 4,593 Results
Sep 9, 2025 - Ice Discharge
Mankoff, Ken; Solgaard, Anne; Larsen, Signe, 2020, "Greenland Ice Sheet solid ice discharge from 1986 through last month: Discharge", https://doi.org/10.22008/promice/data/ice_discharge/d/v02, GEUS Dataverse, V116
Greenland Ice Sheet solid ice discharge from 1986 through last month Recent update includes PROMICE Ice Velocity (200m resolution), and baseline thickness has been updated to the 2020 DEM from Winstrup et al in review see github issue: #44 and related datasets. Before using the d...
Comma Separated Values - 4.7 MB - MD5: 3bb43034cc388c163a25ff29d7341f7e
Gate coverage. Git hash: d5645a3
Comma Separated Values - 14.4 MB - MD5: 4f530203de3f306d5e90f6ca2ecf8f68
Gate discharge. Git hash: d5645a3
Comma Separated Values - 15.0 MB - MD5: 56f01d0126ba93002370831e56be7434
Gate errors. Git hash: d5645a3
Plain Text - 4.4 MB - MD5: e94acc35a394f861c3e062091fcb95d8
Gate discharge, coverage, error, and metadata. Git hash: d5645a3
Comma Separated Values - 48.6 KB - MD5: 57367bcd8caa3c2245f2b64a114f50f5
Greenland coverage. Git hash: d5645a3
Comma Separated Values - 54.3 KB - MD5: a70eee8b6a87dc1def4c45d71c855bb2
Greenland discharge. Git hash: d5645a3
Comma Separated Values - 51.4 KB - MD5: 202e697d1dd4a08ad6e0119d3c5b3372
Greenland error. Git hash: d5645a3
Plain Text - 103.3 KB - MD5: 0b4fa0da633c85407b6c61e0d55b3c01
Greenland discharge, coverage, and error. Git hash: d5645a3
Comma Separated Values - 240.2 KB - MD5: 445ab1b397d3c918f5d43a8734d34845
Regional coverage. Git hash: d5645a3
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.