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

3,101 to 3,110 of 4,137 Results
TIFF Image - 58.7 KB - MD5: dcb9360b1734d18c9dc38e0c3c13db67
Hierarchical Data Format - 89.0 KB - MD5: d98b0ccdb45762b40936349ee088fac0
TIFF Image - 4.3 KB - MD5: cb1e53e00b00da837f21b3a22147d63d
Comma Separated Values - 942.0 KB - MD5: b38f940fe30cdefc0c03360942c09b9f
TIFF Image - 61.5 KB - MD5: ce896f0a9d43b49adb282ad560a3732a
TIFF Image - 436.6 KB - MD5: 67b8dd8ff51d02a31a6fc2317aad22e9
PNG Image - 47.5 KB - MD5: 01f69d8b217d739176601a12547579b2
Jupyter Notebook - 5.9 MB - MD5: 05f3d32a5d61693916b18b4a55af9ef1
TIFF Image - 132.4 KB - MD5: 01a9e7a90e22ba3e42d343b77c5983b5
TIFF Image - 4.3 KB - MD5: 8fa59bb12134c8e509aec28c8369809a
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.