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Goodrich, L. The influence of snow cover on the ground thermal regime.
Differences in ground thermal conditions, for example, plus presence or absence of ground ice or permafrost all influence extreme weather.
Whereas the ground thermal regime has commonly been examined using mechanistic transient models34, an approach based on statistical associations between dependent and predictor variables was used here22,23.
In the ensemble forecasting, the observations of ground thermal regime were related to physically relevant environmental variables using four statistical techniques at 30 arc-second resolution.
However, a conservative threshold is justified considering the use of statistically based methodology in modelling of the ground thermal regime (Methods).
The forthcoming infrastructure risk assessments would significantly benefit from applicable process-based transient models of ground thermal regime and high-resolution climate and ground-ice data.
To account for the effect of organic material on the ground thermal regime37, soil organic carbon (SOC; g kg−1) content information was included from global SoilGrids1km data41.
These study areas differ in their geologic history, permafrost-ice content, and ground thermal regime.
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Zhang, T. Influence of the seasonal snow cover on the ground thermal regime: an overview.
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