Taiwan is surrounded by sea; therefore, coastal hazards might become severe due to climate change. The analysis of wave climate characteristics at different time scales (long-term historical period, seasonal prediction, and future prediction) can be used as a reference for the impact of climate change on coastal environments. This model associates the significant wave height with the atmospheric predictor defined by the sea level pressure (SLP) field. We applied SLP based on the outputs of a global climate model (GCM) under two possible future scenarios (RCP4.5 and RCP8.5) in the Fifth Assessment Report, AR5 (IPCC, 2014), then used the historical data of the predictor (sea level pressure) and predictand (sea-state parameters) from reanalysis databases to calibrate the model. The recent historical atmospheric conditions responsible for the swell wave component at the target site are included in the predictor definition. The 18 days sea level pressure fields are used as a predictor by utilizing the evaluation of source and travel-time of wave energy reaching a local area (ESTELA) method. The verification proves the model’s skill to reproduce the seasonal and interannual variability of monthly sea state parameters and can be used to further evaluate the wave climate change around Taiwan under different climate change scenarios. The prediction of wave climate on weather types provides a physical explanation for the relationship between the multivariate wave climate characterization and atmospheric forces. Through the analysis of the similarity and consistency between GCM data and reanalysis data, we can evaluate the suitability of GCM for wave climates in the Taiwan sea area. It shows how the weather type statistical method can be used to quantify the wave climate prediction results of each GCMs and to evaluate their differences and uncertainties, which will improve the estimation of the impact of wave climate change on Taiwan’s coast.
Coastal erosion along Liaolo Bay which is a semi-circular beach and locates at the south coast of Kinmen Island was observed during past years. Field and numerical experiments were conducted to discuss the hydrodynamics inside the bay. CMS-WAVE and CMS-FLOW models were setup and validated according to the collected field data. Then, the models were applied to simulate the hydrodynamics inside the study site during typhoon events. Longshore current pattern along the semi-cicular beach is sensitive to the incident wave. For wave approaching from east direction, the most affected region inside the bay by the wave locates on the west of the beach. However, widespread impact on the whole beach was found when the wave incident from south direction. Wave (1~2 m) travels from E~ESE direction at the bay mouth usually occurs in winter and induces to consistently westward lognshore current along the beach with speed 0.2~0.4 m/s. High wave approached from SE~S direction during the studied typhoon events which induced to strong transiently and complex current patterns inside the bay beach with maximum speed up to more than 1.0 m/s. A rip circulation cell constantly found near the outcrop, which enhanced the strength of the rip circulation. Besides, rip circulation cells occasionally found at some spots along the beach respectively which depends on the incident wave energy and direction.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.
hi@scite.ai
10624 S. Eastern Ave., Ste. A-614
Henderson, NV 89052, USA
Copyright © 2024 scite LLC. All rights reserved.
Made with 💙 for researchers
Part of the Research Solutions Family.