Jing Gao

Dr. Jing Gao


Research Focus & Metrics

Academic Career Length

2Years (2025-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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14 June 2025 in Remote Sensing
Verified
Journal Article
Open access
PDF file
LJLiqun Jiao
Liqun Jiao
YWYouqi Wang
Youqi Wang
DJDong Jiang
Dong Jiang
QLQingrong Liu
Qingrong Liu
JGJing Gao
Jing Gao
XLXianqing Lv
Xianqing Lv
This study applied an adjoint data assimilation model capable of integrating wind fields to investigate a temperate storm surge event in the Bohai Sea region during October 18 to 21, 2024. Based on in situ water level measurements from five tide gauge stations, the model simulated the spatial distributions of water levels under different wind stress drag coefficients (CD) schemes driven by reanalysis wind fields and interpolated wind fields. The results demonstrated that the scheme without the adjoint data assimilation exhibited relatively low accuracy. Upon integrating the adjoint data assimlation method, the errors of the reanalysis wind fields were reduced by 44%, while those of the interpolated wind fields experienced a 74% decrease in error magnitude. Overall, this study provides a reference for enhancing the accuracy of water level predictions during storm surge events.