Advances in Statistical Climatology, Meteorology and Oceanography
Advances in Statistical Climatology, Meteorology and Oceanography
ASCMO
Articles | Volume 4, issue 1/2
Articles | Volume 4, issue 1/2
https://doi.org/10.5194/ascmo-4-53-2018
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/ascmo-4-53-2018
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 4, issue 1/2
06 Dec 2018
 | 06 Dec 2018

An integration and assessment of multiple covariates of nonstationary storm surge statistical behavior by Bayesian model averaging

Tony E. Wong

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Latest update: 20 Nov 2024
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Short summary
Millions of people worldwide are at a risk of coastal flooding, and this number will increase as the climate continues to change. This study analyzes how climate change affects future flood hazards. A new model that uses multiple climate variables for flood hazard is developed. For the case study of Norfolk, Virginia, the model predicts 23 cm higher flood levels relative to previous work. This work shows the importance of accounting for climate change in effectively managing coastal risks.
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