Elevation dependent spatial interpolation of hourly rainfall for accurate flood inundation modelling

Nguyen, Chi; Vaze, Jai; Mateo, Cherry May R.; Hutchinson, Michael F.; Teng, Jin

doi:10.5194/hess-30-45-2026

Articles | Volume 30, issue 1

https://doi.org/10.5194/hess-30-45-2026

© Author(s) 2026. This work is distributed under
the Creative Commons Attribution 4.0 License.

https://doi.org/10.5194/hess-30-45-2026

© Author(s) 2026. This work is distributed under
the Creative Commons Attribution 4.0 License.

Articles | Volume 30, issue 1

Research article

|

09 Jan 2026

Research article |

| 09 Jan 2026

Elevation dependent spatial interpolation of hourly rainfall for accurate flood inundation modelling

Chi Nguyen, Jai Vaze, Cherry May R. Mateo, Michael F. Hutchinson, and Jin Teng

Model code and software

CHRain Python scripts Chi Nguyen https://doi.org/10.5281/zenodo.17686121

Short summary

The availability of high-resolution rainfall data is limited. This study presents a method to generate hourly and 1 km gridded rainfall data for detailed hydrodynamic flood modelling purposes, using point measurements and thin-plate spline interpolation. The analysis shows that the proposed dataset outperforms other gridded datasets in representing spatial distributions and daily and hourly variations of rainfall. The data is suitable for any study where high-resolution rainfall data is needed.