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.
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801 to 810 of 4,141 Results
Nov 27, 2024 - pypromice v1.5.0
Python Source Code - 1.7 KB - MD5: 38de6d0eda60f8b4b693493abec5ef50
Nov 27, 2024 - pypromice v1.5.0
Python Source Code - 1.5 KB - MD5: b6f3fb44502570b901b53ca0a4f687b0
Nov 27, 2024 - pypromice v1.5.0
Comma Separated Values - 993 B - MD5: ddf28afc9e593bf6df52c471843e6e2f
Nov 27, 2024 - pypromice v1.5.0
Comma Separated Values - 13.0 KB - MD5: d742fa54d5da181bce42b5eb104a8235
Nov 27, 2024 - pypromice v1.5.0
Unknown - 231 B - MD5: 83d450a466c6b478b791dd751e2b243c
Nov 27, 2024 - pypromice v1.5.0
Python Source Code - 15.4 KB - MD5: eef7c83370b0990bf38b50bd92008d4a
Network Common Data Form - 833.2 MB - MD5: 6b5e251535c90bb807cf954a73fc44c6
Data
PNG Image - 5.1 MB - MD5: e8eaa0f886cf0dc05dfb938d2427ff25
Image
Network Common Data Form - 621.0 MB - MD5: a0dbf159f48d4df5d2de680e1a2d9840
Data
PNG Image - 4.4 MB - MD5: 4f68dd0e229b0e199e2bac2c4ac2fbc9
Image
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