Development of a novel storm surge inundation model framework for efficient prediction

Gao, Xuanxuan; Li, Shuiqing; Mo, Dongxue; Liu, Yahao; Hu, Po

doi:https://doi.org/10.5194/gmd-17-5497-2024

Articles | Volume 17, issue 14

https://doi.org/10.5194/gmd-17-5497-2024

© Author(s) 2024. This work is distributed under
the Creative Commons Attribution 4.0 License.

https://doi.org/10.5194/gmd-17-5497-2024

© Author(s) 2024. This work is distributed under
the Creative Commons Attribution 4.0 License.

Articles | Volume 17, issue 14

Development and technical paper

|

23 Jul 2024

Development and technical paper |

| 23 Jul 2024

Development of a novel storm surge inundation model framework for efficient prediction

Xuanxuan Gao, Shuiqing Li, Dongxue Mo, Yahao Liu, and Po Hu

Supplement

https://doi.org/10.5194/gmd-17-5497-2024-supplement

Data sets

Data for HCA-FM Manuscript Submitted to GMD X. Gao et al. https://doi.org/10.5281/zenodo.10596631

NCEP Climate Forecast System Reanalysis (CFSR) Selected Hourly Time-Series Products, January 1979 to December 2010 S. Saha et al. https://doi.org/10.5065/D6513W89

Climate Forecast System Version 2 (CFSv2) Selected Hourly Time-Series Products S. Saha et al. https://doi.org/10.5065/D6N877VB

Model code and software

HCA-FM code and instruction X. Gao https://doi.org/10.5281/zenodo.10596826

Short summary

Storm surges generate coastal inundation and expose populations and properties to danger. We developed a novel storm surge inundation model for efficient prediction. Estimates compare well with in situ measurements and results from a numerical model. The new model is a significant improvement on existing numerical models, with much higher computational efficiency and stability, which allows timely disaster prevention and mitigation.