Characterizing tundra snow sub-pixel variability to improve brightness temperature estimation in satellite SWE retrievals
<p>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...
Main Authors: | J. Meloche, A. Langlois, N. Rutter, A. Royer, J. King, B. Walker, P. Marsh, E. J. Wilcox |
---|---|
Format: | Article |
Language: | English |
Published: |
Copernicus Publications
2022-01-01
|
Series: | The Cryosphere |
Online Access: | https://tc.copernicus.org/articles/16/87/2022/tc-16-87-2022.pdf |
Similar Items
-
Review article: Performance assessment of radiation-based field sensors for monitoring the water equivalent of snow cover (SWE)
by: A. Royer, et al.
Published: (2021-11-01) -
Snow mechanical property variability at the slope scale – implication for snow mechanical modelling
by: F. Meloche, et al.
Published: (2024-03-01) -
Improvement of microwave emissivity parameterization of frozen Arctic soils using roughness measurements derived from photogrammetry
by: J. Meloche, et al.
Published: (2021-10-01) -
Effect of snow microstructure variability on Ku-band radar snow water equivalent retrievals
by: N. Rutter, et al.
Published: (2019-11-01) -
Linking tundra vegetation, snow, soil temperature, and permafrost
by: I. Grünberg, et al.
Published: (2020-08-01)