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

2,331 to 2,340 of 4,124 Results
Network Common Data Form - 66.3 MB - MD5: 9f396738f066a022d551eee76151b72c
Data
RACMO_2015.nc
Network Common Data Form - 49.6 MB - MD5: 2264510e96428d20bd8c180f5f30af87
Data
RACMO_2015.nc
Network Common Data Form - 49.8 MB - MD5: 2878b1535fd9596702d365a357336f90
Data
RACMO_2016.nc
Network Common Data Form - 67.4 MB - MD5: 7e12329d990be41eaf3842364c4a6ffd
Data
RACMO_2016.nc
Network Common Data Form - 68.2 MB - MD5: 53990a5b06f71a607ec826dab64fb88c
Data
RACMO_2017.nc
Network Common Data Form - 49.4 MB - MD5: f871c7ab75719d67c701030cc8d4b801
Data
RACMO_2017.nc
Network Common Data Form - 49.2 MB - MD5: b92a04515b2319cea6e5e18b7831e045
Data
RACMO_2018.nc
Network Common Data Form - 67.2 MB - MD5: ba69b4384d892de1584081a33249bb9c
Data
RACMO_2018.nc
Network Common Data Form - 66.8 MB - MD5: 325386177db575677af9c82433f67a3c
Data
RACMO_2019.nc
Network Common Data Form - 50.2 MB - MD5: d75791f61985add91a24d55e3f47fe2f
Data
RACMO_2019.nc
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.