Evaluation of different wind resources in simulating wave height for the Bohai, Yellow, and East China Seas (BYES) with SWAN model

Wu, Wenfan; Li, Peiliang; Zhai, Fangguo; Gu, Yu; Liu, Zizhou

doi:10.1016/j.csr.2020.104217

Cited by 25 publications

(9 citation statements)

References 52 publications

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“…Previous studies stated that the ERA5 data set agreed with buoy observations (Li et al., 2021) and performed better than other available atmospheric products in hindcasting hydrodynamic conditions in the eastern China seas (Wu, Li, et al., 2020). During Bavi's passage, however, we noted that sea surface winds in ERA5 slightly underestimated the maximum wind speeds observed by buoys (Figures S1a–S1c in Supporting Information ).…”

Section: Data and Model Configurationmentioning

confidence: 76%

Three‐Dimensional Temperature Responses to Northward‐Moving Typhoons in the Shallow Stratified Yellow Sea in Summer

et al. 2022

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Typhoons are the most severe synoptic events on Earth. They can cause intense vertical mixing and anomalous three-dimensional circulations in the ocean, both of which result in dramatic variations in water temperature (Liu et al., 2022). In the open ocean, the intense vertical mixing generated by typhoons' strong winds leads to significant sea surface cooling and subsurface warming, which are usually biased to the right/left side of the typhoon tracks in the Northern/Southern Hemisphere (

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Section: Data and Model Configurationmentioning

confidence: 76%

Three‐Dimensional Temperature Responses to Northward‐Moving Typhoons in the Shallow Stratified Yellow Sea in Summer

et al. 2022

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“…Therefore, in shallow water areas, wave simulation using the unstructured multiscale grid can improve the description of complex shorelines and topography and enhance wave simulation precision. Furthermore, we see that wave simulation results are underestimated (e.g., Wu et al, 2020), especially in the passing of tropical cyclones (e.g., Chen et al, 2018;Jiang et al, 2022). This indicates that the wind intensity from the ERA5 dataset needs to be corrected to obtain accurate wave states when typhoons occur.…”

Section: Evaluation Of Influences Of Complex Topographymentioning

confidence: 91%

Design and Evaluation of an Efficient High-Precision Ocean Surface Wave Model with a Multiscale Grid System (MSG_Wav1.0)

Zhang

Liu

et al. 2023

Preprint

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Abstract. Ocean surface waves induced by wind forcing and topographic effects are a crucial physical process at the air-sea interface, which significantly affect typhoon development, ocean mixing, etc. Higher-resolution wave modeling can simulate more accurate wave states, but requires huge computational resources, making it difficult for Earth system models to include ocean waves as a fast-response physical process. Given that high-resolution Earth system models are in demand, efficient high-precision wave simulation is necessary and urgent. Based on the wave dispersion relation, we design a new wave modeling framework using a multiscale grid system. It has the fewest number of fine grids and reasonable grid spacing in deep water areas. We compare the performance of wave simulation using different spatial propagation schemes, reveal the different reasons for wave simulation differences in the westerly zone and the active tropical cyclone region, and quantify the matching of spatial resolutions between wave models and wind forcing. A series of numerical experiments show that this new modeling framework can more precisely simulate wave states in shallow water areas without losing accuracy in the deep ocean while costing a small fraction of traditional simulations with uniform fine-gridding space. With affordable computational expenses, the new ocean surface wave modeling can be implemented into high-resolution Earth system models, which may significantly improve the simulation of the atmospheric planetary boundary layer and upper-ocean mixing.

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“…Precipitation and sea surface wind (SSW) data were from the fifthgeneration European center for medium-range weather forecast atmospheric reanalysis data of the global climate (ERA5) with a horizontal spatial resolution of approximately 27,830 m per day (https://developer s.google.com/earth-engine/datasets/catalog/ECMWF_ERA5_DAILY). The SSW data provided by ERA5 had the best performance for simulating the wave height of the Yellow Sea coastal areas (Wu et al, 2020). The observations from surface weather stations in China's major land areas in 2018, the error of ERA5 precipitation was 5.4 mm (Wang et al, 2020).…”

Section: Data Source and Data Preprocessingmentioning

confidence: 96%

Research on the dissipation of green tide and its influencing factors in the Yellow Sea based on Google Earth Engine

Gao

2021

Marine Pollution Bulletin

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Evaluation of different wind resources in simulating wave height for the Bohai, Yellow, and East China Seas (BYES) with SWAN model

Cited by 25 publications

References 52 publications

Three‐Dimensional Temperature Responses to Northward‐Moving Typhoons in the Shallow Stratified Yellow Sea in Summer

Three‐Dimensional Temperature Responses to Northward‐Moving Typhoons in the Shallow Stratified Yellow Sea in Summer

Design and Evaluation of an Efficient High-Precision Ocean Surface Wave Model with a Multiscale Grid System (MSG_Wav1.0)

Research on the dissipation of green tide and its influencing factors in the Yellow Sea based on Google Earth Engine

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