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

2,411 to 2,420 of 4,137 Results
dBASE Table for ESRI Shapefile - 77 B - MD5: ba8c8debae0c3b680c4e1659edc38e0a
ESRI Shapefile - 402 B - MD5: b3bae3719e61aac0b27f0cc562fe4640
ESRI Spatial Index - 132 B - MD5: efc87cefb64e47e349a69cfbe92b6887
ESRI Spatial Index - 116 B - MD5: a307570d6294f59f6a650ec85d35cfbc
Shape - 1.1 MB - MD5: 639c90bec95e00fa4bf5f8061891b9a8
XML - 8.0 KB - MD5: 1e337e8c1e3a8b1d5efac0fb0bf894d5
Shape - 108 B - MD5: 4a546dc4de88c249092881d643de8bb5
Unknown - 5 B - MD5: ae3b3df9970b49b6523e608759bc957d
dBASE Table for ESRI Shapefile - 77 B - MD5: ba8c8debae0c3b680c4e1659edc38e0a
ESRI Shapefile - 402 B - MD5: b3bae3719e61aac0b27f0cc562fe4640
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.