Abstract
Cold regions, characterized by the presence of permafrost and extensive snow and ice cover, are significantly affected by changing climate [...]
Highlights
Theoretical modeling—For improving the current understanding of L-band microwave emissions from snow-covered soil, the Wave Approach for LOw-frequency MIcrowave emission in Snow (WALOMIS) model, initially developed for semi-infinite snow-firn conditions, was adapted and parameterized for seasonal snow
Remote sensing allows for measurement of environmental variables at multiple spatial and temporal scales, providing key support for monitoring and interpreting the environmental changes occurring in cold regions
Ice—Satellite-based sea ice concentration (SIC) products have been widely used in monitoring global warming and navigating ships but are difficult to validate over the remote Arctic regions
Summary
Theoretical modeling—For improving the current understanding of L-band microwave emissions from snow-covered soil, the Wave Approach for LOw-frequency MIcrowave emission in Snow (WALOMIS) model, initially developed for semi-infinite snow-firn conditions, was adapted and parameterized for seasonal snow. Cold regions, characterized by the presence of permafrost and extensive snow and ice cover, are significantly affected by changing climate.
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