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

901 to 910 of 4,135 Results
Summit_daily.csv
Jul 17, 2024 - GC-Net Level 1 historical automated weather station data
Comma Separated Values - 2.9 MB - MD5: cc042c9b9928ec4e6528a1a05be27194
SwissCamp10m.csv
Jul 17, 2024 - GC-Net Level 1 historical automated weather station data
Comma Separated Values - 42.2 MB - MD5: 410b09726d6059535d42a81b1e7fb88b
SwissCamp10m_daily.csv
Jul 17, 2024 - GC-Net Level 1 historical automated weather station data
Comma Separated Values - 1.8 MB - MD5: 003dae4c2c5e64e58e4ea47fc6058605
SwissCamp.csv
Jul 17, 2024 - GC-Net Level 1 historical automated weather station data
Comma Separated Values - 69.8 MB - MD5: d2557c49628125861d19f0c3d272756a
SwissCamp_daily.csv
Jul 17, 2024 - GC-Net Level 1 historical automated weather station data
Comma Separated Values - 2.9 MB - MD5: fbb92eb84d555f4bd6a8759c48fbe618
Tunu-N.csv
Jul 17, 2024 - GC-Net Level 1 historical automated weather station data
Comma Separated Values - 68.1 MB - MD5: 430d95b2300cafde7082ee044e980eb9
Tunu-N_daily.csv
Jul 17, 2024 - GC-Net Level 1 historical automated weather station data
Comma Separated Values - 2.8 MB - MD5: 60af77731fcd9d6df27d2082adbc9e7e
IV_ROTR_20181101_20181125.nc
Jul 9, 2024 - Greenland Ice Velocity from Sentinel-1 Edition 4
Network Common Data Form - 898.7 MB - MD5: d4af2c212d08893de8b078fb12480fa3
Data
ice velocity
IV_ROTR_20181101_20181125.png
Jul 9, 2024 - Greenland Ice Velocity from Sentinel-1 Edition 4
PNG Image - 5.1 MB - MD5: e098ec55c0da5a601db3eb0a66cd65c6
Image
ice velocity
IV_ROTR_20181113_20181207.nc
Jul 9, 2024 - Greenland Ice Velocity from Sentinel-1 Edition 4
Network Common Data Form - 905.0 MB - MD5: 8b041fabb46b308214266b4c23d63cb1
Data
ice velocity
Add Data

Log in to create a dataverse or add a dataset.

Log In
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.