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

Viewed

Total article views: 1,632 (including HTML, PDF, and XML)
HTML PDF XML Total Supplement BibTeX EndNote
1,049 524 59 1,632 121 43 52
  • HTML: 1,049
  • PDF: 524
  • XML: 59
  • Total: 1,632
  • Supplement: 121
  • BibTeX: 43
  • EndNote: 52
Views and downloads (calculated since 09 Nov 2022)
Cumulative views and downloads (calculated since 09 Nov 2022)

Viewed (geographical distribution)

Total article views: 1,632 (including HTML, PDF, and XML) Thereof 1,573 with geography defined and 59 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 

Cited

Latest update: 13 Dec 2024
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