Arctic Solifluction Morphology and Climate Data from Norway

25 sites across Norway provide LiDAR-derived digital elevation models characterizing solifluction lobe morphology and spatial patterns, accompanied by long-term climate data for each site. The dataset, produced by SCIOPS as part of the NGEE Arctic project, also includes global soil velocity profiles and viscosity estimates compiled from literature. Data supports research into controls on solifluction pattern formation and its analogy to fluid instabilities.

Use Cases

• Analyze relationships between solifluction lobe morphology from LiDAR DEMs and site-specific climate variables.
• Model soil rheology by correlating global soil velocity profiles with estimates of effective viscosity.
• Test geomorphic theories by comparing spatial patterns in GIS shapefiles with climate data trends.

Strengths

• Data from 25 distinct field sites across Norway provides comparative analysis potential.
• Includes long-term climate records paired with geospatial data for each site.
• Combines original LiDAR-derived elevation models with a global compilation of soil velocity data.

Limitations

• Sample size for the global soil velocity and viscosity compilation is unspecified and may be small.
• Geographic focus is heavily biased towards Norway, with limited data from other Arctic regions.
• Some data files required unit corrections, indicating potential for initial quality issues.

Provenance

Source

NGEE Arctic project, Department of Energy’s Office of Biological and Environmental Research.

Collection Method

LiDAR-derived digital elevation models from pre-existing surveys, climate data collection, and literature compilation for global soil parameters.

Time Range

Associated with the 10-year NGEE Arctic research effort (2012-2022).

Freshness

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Geography

Primary data from 25 sites across Norway; supplementary global soil data.