Hydrology and Earth System Sciences
Hydrology and Earth System Sciences
HESS
Articles | Volume 26, issue 20
Articles | Volume 26, issue 20
https://doi.org/10.5194/hess-26-5241-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/hess-26-5241-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 26, issue 20
Research article
 | 
20 Oct 2022
Research article |  | 20 Oct 2022

A storm-centered multivariate modeling of extreme precipitation frequency based on atmospheric water balance

Yuan Liu and Daniel B. Wright

Viewed

Total article views: 1,827 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
1,435 343 49 1,827 33 41
  • HTML: 1,435
  • PDF: 343
  • XML: 49
  • Total: 1,827
  • BibTeX: 33
  • EndNote: 41
Views and downloads (calculated since 13 Jun 2022)
Cumulative views and downloads (calculated since 13 Jun 2022)

Viewed (geographical distribution)

Total article views: 1,827 (including HTML, PDF, and XML) Thereof 1,660 with geography defined and 167 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 
Latest update: 13 Dec 2024
Download
Short summary
We present a new approach to estimate extreme rainfall probability and severity using the atmospheric water balance, where precipitation is the sum of water vapor components moving in and out of a storm. We apply our method to the Mississippi Basin and its five major subbasins. Our approach achieves a good fit to reference precipitation, indicating that the rainfall probability estimation can benefit from additional information from physical processes that control rainfall.
Read more