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

2,891 to 2,900 of 4,124 Results
Plain Text - 13.2 KB - MD5: c6805d361290765e654fc2c35564476d
Plain Text - 1.3 MB - MD5: e4a47fe6a9012b877837ec4bdd825acf
Plain Text - 32.4 MB - MD5: 7423e2bb6d1d53b34a09942b07b9b4c0
Plain Text - 24.5 KB - MD5: 945c08525def776fb291724553e06801
Plain Text - 1.6 MB - MD5: 80a52ee85a3d67572e90876a9565449b
Plain Text - 40.2 MB - MD5: 55a5567321885dc68cb7b5cdc5bd43f2
Plain Text - 30.2 KB - MD5: f497e312659899cac25709fad80314e7
Plain Text - 1.6 MB - MD5: 3b66ccdf752778524ee475877a69ff6d
Plain Text - 40.2 MB - MD5: fe3ff60face687f95bb834d185e768a5
Plain Text - 30.2 KB - MD5: aedc7de4bcf967f42edf682358f192c8
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.