Studying the geological conditions and processes on land, by the coast and offshore to monitor natural resources and climate. Programme areas include studying the Greenland ice sheet, land and sea, climate change adaptation, earthquakes and seismology and palaeoclimate.

The Nature and climate programme includes contributions from the following departments at GEUS:
  • Geochemistry
  • Geophysics
  • Glaciology and Climate
  • Groundwater and Quaternary Geology Mapping
  • Hydrology
  • Marine Geology
  • Reservoir Geology
  • Stratigraphy

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281 to 290 of 24,469 Results
Network Common Data Form - 4.7 MB - MD5: d94285d08591bf933d862cea2ccd10cb
Uploaded with pyDataverse 2025-02-07 00:10
Comma Separated Values - 12.2 KB - MD5: 94d9dd35510406e0b434aad13df461b4
Uploaded with pyDataverse 2025-02-07 00:10
Network Common Data Form - 359.2 KB - MD5: 14a553b74824e6b12e99e88d0a7249ca
Uploaded with pyDataverse 2025-02-07 00:11
Feb 3, 2025 - Ice velocity
Solgaard, Anne Munck; Kusk, Anders, 2024, "Greenland Ice Velocity from Sentinel-1 Edition 4", https://doi.org/10.22008/FK2/LFZLZN, GEUS Dataverse, V26
Greenland Ice Velocity from Sentinel-1 The PROMICE Ice Velocity product is a timeseries of Greenland Ice Sheet velocity mosaics based on ESA Sentinel-1 SAR offset tracking. The product spans the period January 2016 to present. Spatial resolution: 200 m Temporal resolution: A new...
Network Common Data Form - 722.0 MB - MD5: 0861430ea82b7e5eb51e86a7b4a96c17
Data
PNG Image - 2.2 MB - MD5: 13b5363b0d0fe285a50bc243e4b223c0
Image
Feb 2, 2025 - Aurelien Mordret Dataverse
Mordret, Aurelien; Grushin, Adolfo G., 2025, "Aperiodic-Seismic-Arrays", https://doi.org/10.22008/FK2/G06YCK, GEUS Dataverse, V2
Jupyter Notebooks to compute, plot and save as figures, text files or KML files several aperiodic tilings and layouts for seismic arrays Dependencies: numpy scipy matplotlib pandas scienceplots geopandas shapely pykml utm # UTM for converting between latitude/longitude and UTM co...
Python Source Code - 5.2 KB - MD5: f4a145889531ba8fb9c0ca24c2871c01
Unknown - 3.8 KB - MD5: 719b36691b0654797b3362dfd48a078a
Unknown - 8.7 KB - MD5: d574aed3f42e814e62488265f151594b
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