Articles | Volume 27, issue 21
https://doi.org/10.5194/hess-27-4039-2023
https://doi.org/10.5194/hess-27-4039-2023
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: 1,511 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
1,108 339 64 1,511 38 51
  • HTML: 1,108
  • PDF: 339
  • XML: 64
  • Total: 1,511
  • BibTeX: 38
  • EndNote: 51
Views and downloads (calculated since 10 Oct 2022)
Cumulative views and downloads (calculated since 10 Oct 2022)

Viewed (geographical distribution)

Total article views: 1,511 (including HTML, PDF, and XML) Thereof 1,418 with geography defined and 93 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 

Cited

Latest update: 13 Dec 2024
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.