Hydrology and Earth System Sciences
Hydrology and Earth System Sciences
HESS
Articles | Volume 27, issue 21
Articles | Volume 27, issue 21
https://doi.org/10.5194/hess-27-4039-2023
© Author(s) 2023. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/hess-27-4039-2023
© Author(s) 2023. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 27, issue 21
Research article
 | 
10 Nov 2023
Research article |  | 10 Nov 2023

Assimilation of airborne gamma observations provides utility for snow estimation in forested environments

Eunsang Cho, Yonghwan Kwon, Sujay V. Kumar, and Carrie M. Vuyovich

Viewed

Total article views: 2,333 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
1,738 517 78 2,333 74 113
  • HTML: 1,738
  • PDF: 517
  • XML: 78
  • Total: 2,333
  • BibTeX: 74
  • EndNote: 113
Views and downloads (calculated since 10 Oct 2022)
Cumulative views and downloads (calculated since 10 Oct 2022)

Viewed (geographical distribution)

Total article views: 2,333 (including HTML, PDF, and XML) Thereof 2,224 with geography defined and 109 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 
Latest update: 08 Nov 2025
Download
Short summary
An airborne gamma-ray remote-sensing technique provides reliable snow water equivalent (SWE) in a forested area where remote-sensing techniques (e.g., passive microwave) typically have large uncertainties. Here, we explore the utility of assimilating the gamma snow data into a land surface model to improve the modeled SWE estimates in the northeastern US. Results provide new insights into utilizing the gamma SWE data for enhanced land surface model simulations in forested environments.
Read more
Share