A two-way coupled wave–current high resolution hindcast for the South China Sea

In the present study, we performed a 53-year wave hindcast (1970–2022) for a significant portion of the South China Sea (SCS) with an unstructured mesh that reaches a resolution of 0.008 ° along the coasts of the Guangdong province (China). The adopted modeling approach is based on the fully two-way coupled SCHISM-WWMIII numerical suite. The model was forced with ERA5 wind velocities that were compared to IFREMER altimeter wind velocities and then bias corrected for a more accurate treatment of the wind component. Eight major tidal harmonics extracted from FES2014 were imposed at the open boundaries. After a preliminary mesh independence analysis, the model results have been validated against satellite altimeter observations retrieved from the European Space Agency database spanning the period from 1992 to 2019. Moreover, 28 year in-situ measurements from two coastal wave buoys and data from four tidal gauge stations (approximately 20 years) were used to test the nearshore skills of the model. Several statistical indicators have been used to evaluate the offshore and nearshore performance of the model results in terms of the main wave parameters (significant wave height, peak wave period, mean wave direction) and water levels. All statistical metrics suggest that the present hindcast improved the predictions of waves and water levels compared to previous datasets, especially in the coastal regions. The high spatial resolution together with a full coupling allowed the model to capture and simulate processes that are induced by the non-linear interactions between waves and currents, especially nearshore.

Authors

Publication Details

Journal
Applied Ocean Research
Published
2025-06-27
DOI
https://doi.org/10.1016/j.apor.2025.104672
Citations
1
Primary Topic
Ocean Waves and Remote Sensing
Type
article
Field-Weighted Citation Impact
1.79

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

A two-way coupled wave–current high resolution hindcast for the South China Sea

Alessandro Stocchino, Michalis Vousdoukas, Jinghua Wang, Tiziano Bagnasco
1 citations
Applied Ocean Research
Ocean Waves and Remote Sensing
1.79
article

A two-way coupled wave–current high resolution hindcast for the South China Sea

Alessandro Stocchino, Michalis Vousdoukas, Jinghua Wang, Tiziano Bagnasco
article en
1 citations

Abstract

In the present study, we performed a 53-year wave hindcast (1970–2022) for a significant portion of the South China Sea (SCS) with an unstructured mesh that reaches a resolution of 0.008 ° along the coasts of the Guangdong province (China). The adopted modeling approach is based on the fully two-way coupled SCHISM-WWMIII numerical suite. The model was forced with ERA5 wind velocities that were compared to IFREMER altimeter wind velocities and then bias corrected for a more accurate treatment of the wind component. Eight major tidal harmonics extracted from FES2014 were imposed at the open boundaries. After a preliminary mesh independence analysis, the model results have been validated against satellite altimeter observations retrieved from the European Space Agency database spanning the period from 1992 to 2019. Moreover, 28 year in-situ measurements from two coastal wave buoys and data from four tidal gauge stations (approximately 20 years) were used to test the nearshore skills of the model. Several statistical indicators have been used to evaluate the offshore and nearshore performance of the model results in terms of the main wave parameters (significant wave height, peak wave period, mean wave direction) and water levels. All statistical metrics suggest that the present hindcast improved the predictions of waves and water levels compared to previous datasets, especially in the coastal regions. The high spatial resolution together with a full coupling allowed the model to capture and simulate processes that are induced by the non-linear interactions between waves and currents, especially nearshore.

Applied Ocean ResearchVol. 161
Research Grants Council, University Grants Committee
Life below water
Openalex Percentile: Top 16%
Ocean Waves and Remote Sensing
1.79
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.