The Cryosphere
The Cryosphere
TC
Articles | Volume 17, issue 9
Articles | Volume 17, issue 9
https://doi.org/10.5194/tc-17-3915-2023
© Author(s) 2023. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/tc-17-3915-2023
© Author(s) 2023. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 17, issue 9
Research article
 | 
12 Sep 2023
Research article |  | 12 Sep 2023

Evaluating the utility of active microwave observations as a snow mission concept using observing system simulation experiments

Eunsang Cho, Carrie M. Vuyovich, Sujay V. Kumar, Melissa L. Wrzesien, and Rhae Sung Kim

Supplement

https://doi.org/10.5194/tc-17-3915-2023-supplement

Data sets

Data for "Evaluating the utility of active microwave observations as a snow mission concept using observing system simulation experiments" E. Cho, C. M. Vuyovich, S. V. Kumar, M. L. Wrzesien, and R. S. Kim http://www.hydroshare.org/resource/1ad0d4b62c4440e9bb9267a7470d7b81

Global Seasonal-Snow Classification, Version 1 G. E. Liston and M. Sturm https://doi.org/10.5067/99FTCYYYLAQ0

Shuttle Radar Topography Mission (SRTM) 1 Arc-Second Global USGS Earth Resources Observation and Science (EROS) Center https://doi.org/10.5066/F7PR7TFT

Download
Short summary
As a future snow mission concept, active microwave sensors have the potential to measure snow water equivalent (SWE) in deep snowpack and forested environments. We used a modeling and data assimilation approach (a so-called observing system simulation experiment) to quantify the usefulness of active microwave-based SWE retrievals over western Colorado. We found that active microwave sensors with a mature retrieval algorithm can improve SWE simulations by about 20 % in the mountainous domain.
Read more