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

91 to 100 of 4,508 Results
Comma Separated Values - 1.7 KB - MD5: 0dd3a553a5718717a5d5bcda13a0b140
Comma Separated Values - 1.9 KB - MD5: 912cc1eb1c4cef8be954512fe24e82a1
Comma Separated Values - 1.5 KB - MD5: d9ff3e149170eac685102a2a50a58e9d
Comma Separated Values - 1.9 KB - MD5: 642f6ff7fabee2096a109889e6ef9354
Comma Separated Values - 1.6 KB - MD5: acbd99a9e5199e592df6aa5fa83001d7
Comma Separated Values - 2.0 KB - MD5: c514e72952fce0eba27522b934460adc
Comma Separated Values - 1.9 KB - MD5: 1efb3936dd3538f94a68e38603b6d0bb
MS Excel Spreadsheet - 141.0 KB - MD5: b5a186925d9ffc0efc89d34ee4cf95ae
Comma Separated Values - 1.3 KB - MD5: c7ba0c2b66a3f59c24f8fe7a0eef2ce8
Comma Separated Values - 1.4 KB - MD5: 2950fe01ca8aa842e8d750a313f33c3b
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.