Characterizing tundra snow sub-pixel variability to improve brightness temperature estimation in satellite SWE retrievals

• Published in: The Cryosphere
• Main Authors: Meloche, Julien, Langlois, Alexandre, Rutter, Nick, Royer, Alain, King, Josh, Walker, Branden, Marsh, Philip, Wilcox, Evan
• Format: Article in Journal/Newspaper
• Language: English
• Published: Copernicus Publications 2022
• Subjects: F800 Physical and Terrestrial Geographical and Environmental Sciences; Arctic; Cambridge Bay; Trail Valley Creek; Valley Creek; The Cryosphere; Tundra
• Online Access: https://nrl.northumbria.ac.uk/id/eprint/47858/; https://doi.org/10.5194/tc-16-87-2022; https://nrl.northumbria.ac.uk/id/eprint/47858/9/tc-16-87-2022.pdf; https://nrl.northumbria.ac.uk/id/eprint/47858/1/Snow_spatialAnalysis_final_responseRound1V2_editorComments.pdf

Topography and vegetation play a major role in sub-pixel variability of Arctic snowpack properties, but are not considered in current passive microwave (PMW) satellite SWE retrievals. Simulation of sub-pixel variability of snow properties is also problematic when downscaling snow and climate models....