HyTCWaves: A Hybrid model for downscaling Tropical Cyclone induced extreme Waves climate

Autor: Sara O. van Vloten, Laura Cagigal, Ana Rueda, Nicolás Ripoll, Fernando J. Méndez
Přispěvatelé: Universidad de Cantabria
Rok vydání: 2022
Předmět:
Zdroj: Ocean Modelling, 2022, 178, 102100
UCrea Repositorio Abierto de la Universidad de Cantabria
Universidad de Cantabria (UC)
ISSN: 1463-5003
Popis: Populated coastlines influenced by tropical cyclone (TC) prone areas call for flood risk hazard assessments, including knowledge on the probability of occurrence of major TC-induced significant wave heights. Due to the scarcity of TC historical records, extreme value analyses often rely on fitting generalized extreme value distribution functions to extrapolate longer return periods. This paper describes a methodology that allows to obtain deterministic estimations of the tail probability distribution using long collections of high-fidelity tracks that reproduce similar historical diversity and frequency trends. Given the large dimensionality of the problem (spatiotemporal variability of track geometry and intensity), we implement a track parameterization to easily identify storms in a parametric space. A hybrid approach significantly reduces computational resources by enabling to narrow the number of non-stationary numerically simulated cases forced with vortex-type wind fields parameterized using the Holland Dynamic Model. The proposed surrogate model, HyTCWaves, is trained with a selected subset of maximum significant wave height (MSWH) spatial fields to which a Principal Component Analysis and interpolation functions are performed. Results show a useful approximation of spatialbased regional extreme value distribution of MSWH induced by TCs. The proposed model is applied to the target location of Majuro atoll. This work has been partially funded by the Beach4Cast PID2019-107053RB-I00 project, granted by the Spanish Ministry of Science and Innovation. AR acknowledge the funding from Juan de la Cierva-Incorporación IJC2020-043907-I/ MCIN/AEI/10.13039/501100011033 and “NextGenerationEU”/PRTR .
Databáze: OpenAIRE
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