2021IOP Conference Series Earth and Environmental ScienceOpen access

Analysis Wave Characteristics in the Southeastern Bengal Bay Based on Different Data Sources

Yanan Xu, Hanbao Chen, Guofan Zhang, Rong Wang, Ran Tao

Open full text 2 citations

Abstract

Abstract The research uses the wave parameters of OWI and ECMWF including wave height, period and direction, and analysis the wave characteristics of the sea area throughout the year and the wave characteristics of the NW wave. For the analysis of wave characteristics of waves biased to NW, OWI analysis biased towards NW waves in which wind and waves accounted for 62.6% and swells accounted for 37.4%, showing mixed wave characteristics dominated by wind and waves; while ECMWF analysis was biased towards NW waves. Wind and waves accounted for 24.5%, and swells accounted for 75.4%. There are big differences between the two data sources in the wave pattern analysis of NW direction. The research further uses the model to calculate and analyze the wave conditions of the Bay of Bengal waters affected by the monsoon (without considering the introduction of ocean waves). The results also show that the NW wave is characterized by a mixed wave feature dominated by wind and waves. The proportion of wind and waves is 76.1%, the proportion of swell is 23.6%, the average period is about 4.7s, and the maximum average period is less than 9s. From the analysis of the calculated directional spectrum, the biased NW wave caused by the monsoon also shows the characteristics of a bimodal spectrum, in which the wave energy is mainly reflected in the average period of about 5s. The research results show that the NW wave is a mixed wave feature dominated by wind and waves. There are long peak wave swells in the wave train, and the wave height and periodic characteristic values are relatively small.

Open-access reader

About this research paper

What this paper is about

Abstract The research uses the wave parameters of OWI and ECMWF including wave height, period and direction, and analysis the wave characteristics of the sea area throughout the year and the wave characteristics of the NW wave. For the analysis of wave characteristics of waves biased to NW, OWI analysis biased towards NW waves in which wind and waves accounted for 62.6% and swells accounted for 37.4%, showing mixed wave characteristics dominated by wind and waves; while ECMWF analysis was biased towards NW waves. Wind and waves accounted for 24.5%, and swells accounted for 75.4%. There are big differences between the two data sources in the wave pattern analysis of NW direction. The research further uses the model to calculate and analyze the wave conditions of the Bay of Bengal waters affected by the monsoon (without considering the introduction of ocean waves). The results also show that the NW wave is characterized by a mixed wave feature dominated by wind and waves. The proportion of wind and waves is 76.1%, the proportion of swell is 23.6%, the average period is about 4.7s, and the maximum average period is less than 9s. From the analysis of the calculated directional spectrum, the biased NW wave caused by the monsoon also shows the characteristics of a bimodal spectrum, in which the wave energy is mainly reflected in the average period of about 5s. The research results show that the NW wave is a mixed wave feature dominated by wind and waves. There are long peak wave swells in the wave train, and the wave height and periodic characteristic values are relatively small.

Why it matters

OpenAlex reports 2 citations for this work. Citation counts describe recorded attention and do not establish research quality.

Key contribution

A contribution statement is not available in the OpenAlex record.

Method / approach

Method details are not available in the OpenAlex metadata.

Main findings

Findings are not separately available in the OpenAlex metadata.

Limitations

Limitations are not available in the OpenAlex metadata.

Applications

Application details are not available in the OpenAlex metadata.

Available abstract

Abstract The research uses the wave parameters of OWI and ECMWF including wave height, period and direction, and analysis the wave characteristics of the sea area throughout the year and the wave characteristics of the NW wave. For the analysis of wave characteristics of waves biased to NW, OWI analysis biased towards NW waves in which wind and waves accounted for 62.6% and swells accounted for 37.4%, showing mixed wave characteristics dominated by wind and waves; while ECMWF analysis was biased towards NW waves. Wind and waves accounted for 24.5%, and swells accounted for 75.4%. There are big differences between the two data sources in the wave pattern analysis of NW direction. The research further uses the model to calculate and analyze the wave conditions of the Bay of Bengal waters affected by the monsoon (without considering the introduction of ocean waves). The results also show that the NW wave is characterized by a mixed wave feature dominated by wind and waves. The proportion of wind and waves is 76.1%, the proportion of swell is 23.6%, the average period is about 4.7s, and the maximum average period is less than 9s. From the analysis of the calculated directional spectrum, the biased NW wave caused by the monsoon also shows the characteristics of a bimodal spectrum, in which the wave energy is mainly reflected in the average period of about 5s. The research results show that the NW wave is a mixed wave feature dominated by wind and waves. There are long peak wave swells in the wave train, and the wave height and periodic characteristic values are relatively small.

Key concepts: Swell, Wind wave, Significant wave height, Wind wave model, Wave height, Surface wave, Infragravity wave, Geology

Related papers

Back to paper searchBrowse research topicsOriginal source
Analysis Wave Characteristics in the Southeastern Bengal Bay Based on Different Data Sources — Research Paper | ScholarLens