The Cryosphere
The Cryosphere
TC
Articles | Volume 17, issue 5
Articles | Volume 17, issue 5
https://doi.org/10.5194/tc-17-1997-2023
© Author(s) 2023. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/tc-17-1997-2023
© Author(s) 2023. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 17, issue 5
Research article
 | 
12 May 2023
Research article |  | 12 May 2023

Estimating snow accumulation and ablation with L-band interferometric synthetic aperture radar (InSAR)

Jack Tarricone, Ryan W. Webb, Hans-Peter Marshall, Anne W. Nolin, and Franz J. Meyer

Supplement

https://doi.org/10.5194/tc-17-1997-2023-supplement

Data sets

Estimating snow accumulation and ablation with L-band InSAR: Code and data for analysis and figure creation (0.0.4) Jack Tarricone https://doi.org/10.5281/zenodo.7754560

UAVSAR Data Search NASA/JPL-Caltech https://uavsar.jpl.nasa.gov/cgi-bin/data.pl

Collection-1 Landsat Level-3 Fractional Snow Covered Area (FSCA) Science Product E. R. O. U.S. Geological Survey and S. Center https://doi.org/10.5066/F7XK8DS5

Valles Caldera National Preserve Climate Stations Western Regional Climate Center (WRCC) https://wrcc.dri.edu/vallescaldera/

SnowEx20 Jemez UNM 800 MHz MALA GPR, Version 1 R. Webb https://doi.org/10.5067/H38Q5FTBPZ8K

Jemez River Basin Snow-off LiDAR Survey OpenTopography https://doi.org/10.5069/G9RB72JV

Model code and software

Estimating snow accumulation and ablation with L-band InSAR: Code and data for analysis and figure creation (0.0.4) Jack Tarricone https://doi.org/10.5281/zenodo.7754560

SnowEx/uavsar_pytools: Slant Range Image Conversion (v0.7.0) Z. Keskinen, J. Tarricone, N. Adebisi, and H. P. Marshall https://doi.org/10.5281/zenodo.6578192

SnowEx/snowex_db: SnowEx Hackweek 2022 release (Version hackweek2022) Micah Johnson and Micah Sandusky https://doi.org/10.5281/zenodo.7618107

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Short summary
Mountain snowmelt provides water for billions of people across the globe. Despite its importance, we cannot currently measure the amount of water in mountain snowpacks from satellites. In this research, we test the ability of an experimental snow remote sensing technique from an airplane in preparation for the same sensor being launched on a future NASA satellite. We found that the method worked better than expected for estimating important snowpack properties.
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