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

231 to 240 of 4,183 Results
Comma Separated Values - 1.5 KB - MD5: 7388184545fe26ebe8e4ca6135dd3455
Comma Separated Values - 1.4 KB - MD5: faa7ef1628871be5818b9e74c74e96d5
Comma Separated Values - 1.3 KB - MD5: f03b25c997823a09af3c14195c32686b
Comma Separated Values - 1.3 KB - MD5: 02b6b70a19f81e5c26fecc381113d41b
Comma Separated Values - 1.3 KB - MD5: 5878046c29d054a1ce70e51def437a32
Comma Separated Values - 1.6 KB - MD5: c3cd2099650371d1e3d69db3470da7ba
Comma Separated Values - 2.0 KB - MD5: b42f6d5a756f53cba92e07522bd5916e
Comma Separated Values - 1.6 KB - MD5: e1deece69ab672d4dbe914db26822b2b
Comma Separated Values - 1.3 KB - MD5: bed176662166a6920d27d3200f49998f
Comma Separated Values - 1.4 KB - MD5: ce10bc02b4680828527625b4d5e81997
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.