Articles | Volume 17, issue 7
https://doi.org/10.5194/tc-17-2629-2023
© Author(s) 2023. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/tc-17-2629-2023
© Author(s) 2023. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
06 Jul 2023
Research article |
| 06 Jul 2023
| 06 Jul 2023
How do tradeoffs in satellite spatial and temporal resolution impact snow water equivalent reconstruction?
Civil Group, Leidos, Inc., Reston, VA 20190, USA
Earth Research Institute, University of California, Santa Barbara, CA
93106, USA
Jeff Dozier
Bren School of Environmental Science and Management, University of
California, Santa Barbara, CA 93106, USA
Karl Rittger
Institute of Arctic and Alpine Research, University of Colorado,
Boulder, CO 80309, USA
Timbo Stillinger
Earth Research Institute, University of California, Santa Barbara, CA
93106, USA
William Kleiber
Department of Applied Mathematics, University of Colorado, Boulder, CO
80309, USA
Robert E. Davis
Cold Regions Research and Engineering Laboratory, Hanover, NH
03755, USA
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Short summary
To test the title question, three snow cover products were used in a snow model. Contrary to previous work, higher-spatial-resolution snow cover products only improved the model accuracy marginally. Conclusions are as follows: (1) snow cover and albedo from moderate-resolution sensors continue to provide accurate forcings and (2) finer spatial and temporal resolutions are the future for Earth observations, but existing moderate-resolution sensors still offer value.
To test the title question, three snow cover products were used in a snow model. Contrary to...
