Articles | Volume 28, issue 2
https://doi.org/10.5194/hess-28-375-2024
https://doi.org/10.5194/hess-28-375-2024
Research article
 | 
31 Jan 2024
Research article |  | 31 Jan 2024

Predicting extreme sub-hourly precipitation intensification based on temperature shifts

Francesco Marra, Marika Koukoula, Antonio Canale, and Nadav Peleg

Viewed

Total article views: 2,178 (including HTML, PDF, and XML)
HTML PDF XML Total Supplement BibTeX EndNote
1,732 400 46 2,178 107 40 33
  • HTML: 1,732
  • PDF: 400
  • XML: 46
  • Total: 2,178
  • Supplement: 107
  • BibTeX: 40
  • EndNote: 33
Views and downloads (calculated since 20 Sep 2023)
Cumulative views and downloads (calculated since 20 Sep 2023)

Viewed (geographical distribution)

Total article views: 2,178 (including HTML, PDF, and XML) Thereof 2,154 with geography defined and 24 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 

Cited

Latest update: 17 Jul 2024
Download
Short summary
We present a new physical-based method for estimating extreme sub-hourly precipitation return levels (i.e., intensity–duration–frequency, IDF, curves), which are critical for the estimation of future floods. The proposed model, named TENAX, incorporates temperature as a covariate in a physically consistent manner. It has only a few parameters and can be easily set for any climate station given sub-hourly precipitation and temperature data are available.