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Published September 10, 2023 | Version 1.1
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TEmperature-dependent Non-Asymptotic statistical model for eXtreme return levels (TENAX)

  • 1. University of Padua, Italy
  • 2. University of Lausanne, Switzerland

Description

Find the most updated version here: https://doi.org/10.5281/zenodo.8332232

 

The TEmperature-dependent Non-Asymptotic statistical model for eXtreme return levels (TENAX).

A parsimonious non-stationary and non-asymptotic theoretical framework that incorporates temperature as a covariate to estimate changes in precipitation return levels.

 

"Section" and "Figure" in the code refer to the paper by Marra et al. (2024), where the TENAX model is described:

Marra, F., Koukoula, M., Canale, A., and Peleg, N.: Predicting extreme sub-hourly precipitation intensification based on temperature shifts, Hydrol. Earth Syst. Sci., 28, 375–389, https://doi.org/10.5194/hess-28-375-2024, 2024

 

The model code is provided with an example of modeling the precipitation return levels for the Aadorf station in Switzerland, reproducing the figures presented in the manuscript.

 

Matlab codes run using Matlab 2021b and Matlab 2023a

 

The TENAX model also uses codes from:

John Bockstege (2023). Shade area between two curves (https://www.mathworks.com/matlabcentral/fileexchange/13188-shade-area-between-two-curves), MATLAB Central File Exchange.

Ebo Ewusi-Annan (2023). Weighted and unweighted linear fit (https://www.mathworks.com/matlabcentral/fileexchange/34352-weighted-and-unweighted-linear-fit), MATLAB Central File Exchange.

Aslak Grinsted (2023). quantreg(x,y,tau,order,Nboot) (https://www.mathworks.com/matlabcentral/fileexchange/32115-quantreg-x-y-tau-order-nboot), MATLAB Central File Exchange.

halleyhit (2023). generate random numbers according to pdf or cdf (https://www.mathworks.com/matlabcentral/fileexchange/68492-generate-random-numbers-according-to-pdf-or-cdf), MATLAB Central File Exchange.

Francesco Marra (2020). A Unified Framework for Extreme Sub-daily Precipitation Frequency Analyses based on Ordinary Events - data & codes (Version v1). Zenodo. https://doi.org/10.5281/zenodo.3971558

Edward Zechmann (2023). Continuous Sound and Vibration Analysis (https://www.mathworks.com/matlabcentral/fileexchange/21384-continuous-sound-and-vibration-analysis), MATLAB Central File Exchange.

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Additional details

Funding

Swiss National Science Foundation
Rainfall and floods in future cities PCEFP2_194649