2022
DOI: 10.3389/fmars.2022.834151
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The Skill Assessment of Weather and Research Forecasting and WAVEWATCH-III Models During Recent Meteotsunami Event in the Persian Gulf

Abstract: This study aims to use a fully realistic high-resolution mesoscale atmospheric and wave model to reproduce met-ocean conditions during a meteotsunami in the Persian Gulf. The atmospheric simulations were performed with the Weather and Research Forecasting (WRF) model by varying planetary boundary layer, microphysics, cumulus, and radiations parameterizations. The atmospheric results were compared to the meteorological observations (e.g., air pressure and wind speed) from the coastal and island synoptic and buo… Show more

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Cited by 7 publications
(1 citation statement)
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“…In the last decade, numerical modelling and forecast of meteotsunami events has been a pressing issue for the development of meteotsunami early warning systems (Vilibicé t al., 2016). Despite the many challenges posed by accurately simulating both the localized mesoscale atmospheric processes and the nearshore amplifications driving the meteotsunami events, more and more early warning systems and high-resolution modelling suites are nowadays capable to capture these processes (e.g., Renault et al, 2011;Anderson and Mann, 2021;Angove et al, 2021;Sun and Niu, 2021;Tojcǐćet al, 2021;Kim et al, 2022;Rahimian et al, 2022). Historically, three complementary avenues have been explored: (1) synoptic indices, (2) high-resolution numerical models and (3) ensemble or stochastic approaches.…”
Section: Introductionmentioning
confidence: 99%
“…In the last decade, numerical modelling and forecast of meteotsunami events has been a pressing issue for the development of meteotsunami early warning systems (Vilibicé t al., 2016). Despite the many challenges posed by accurately simulating both the localized mesoscale atmospheric processes and the nearshore amplifications driving the meteotsunami events, more and more early warning systems and high-resolution modelling suites are nowadays capable to capture these processes (e.g., Renault et al, 2011;Anderson and Mann, 2021;Angove et al, 2021;Sun and Niu, 2021;Tojcǐćet al, 2021;Kim et al, 2022;Rahimian et al, 2022). Historically, three complementary avenues have been explored: (1) synoptic indices, (2) high-resolution numerical models and (3) ensemble or stochastic approaches.…”
Section: Introductionmentioning
confidence: 99%