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

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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.
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