Articles | Volume 4, issue 1/2
https://doi.org/10.5194/ascmo-4-53-2018
https://doi.org/10.5194/ascmo-4-53-2018
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

Related authors

Analysis of the evolution of parametric drivers of high-end sea-level hazards
Alana Hough and Tony E. Wong
Adv. Stat. Clim. Meteorol. Oceanogr., 8, 117–134, https://doi.org/10.5194/ascmo-8-117-2022,https://doi.org/10.5194/ascmo-8-117-2022, 2022
Short summary
BRICK v0.2, a simple, accessible, and transparent model framework for climate and regional sea-level projections
Tony E. Wong, Alexander M. R. Bakker, Kelsey Ruckert, Patrick Applegate, Aimée B. A. Slangen, and Klaus Keller
Geosci. Model Dev., 10, 2741–2760, https://doi.org/10.5194/gmd-10-2741-2017,https://doi.org/10.5194/gmd-10-2741-2017, 2017
Short summary

Related subject area

Statistics
Modeling general circulation model bias via a combination of localized regression and quantile mapping methods
Benjamin James Washington, Lynne Seymour, and Thomas L. Mote
Adv. Stat. Clim. Meteorol. Oceanogr., 9, 1–28, https://doi.org/10.5194/ascmo-9-1-2023,https://doi.org/10.5194/ascmo-9-1-2023, 2023
Short summary
Evaluation of simulated responses to climate forcings: a flexible statistical framework using confirmatory factor analysis and structural equation modelling – Part 1: Theory
Katarina Lashgari, Gudrun Brattström, Anders Moberg, and Rolf Sundberg
Adv. Stat. Clim. Meteorol. Oceanogr., 8, 225–248, https://doi.org/10.5194/ascmo-8-225-2022,https://doi.org/10.5194/ascmo-8-225-2022, 2022
Short summary
Evaluation of simulated responses to climate forcings: a flexible statistical framework using confirmatory factor analysis and structural equation modelling – Part 2: Numerical experiment
Katarina Lashgari, Anders Moberg, and Gudrun Brattström
Adv. Stat. Clim. Meteorol. Oceanogr., 8, 249–271, https://doi.org/10.5194/ascmo-8-249-2022,https://doi.org/10.5194/ascmo-8-249-2022, 2022
Short summary
A conditional approach for joint estimation of wind speed and direction under future climates
Qiuyi Wu, Julie Bessac, Whitney Huang, Jiali Wang, and Rao Kotamarthi
Adv. Stat. Clim. Meteorol. Oceanogr., 8, 205–224, https://doi.org/10.5194/ascmo-8-205-2022,https://doi.org/10.5194/ascmo-8-205-2022, 2022
Short summary
Comparing climate time series – Part 2: A multivariate test
Timothy DelSole and Michael K. Tippett
Adv. Stat. Clim. Meteorol. Oceanogr., 7, 73–85, https://doi.org/10.5194/ascmo-7-73-2021,https://doi.org/10.5194/ascmo-7-73-2021, 2021
Short summary

Cited articles

Arns, A., Wahl, T., Haigh, I. D., Jensen, J., and Pattiaratchi, C.: Estimating extreme water level probabilities: A comparison of the direct methods and recommendations for best practise, Coast. Eng., 81, 51–66, https://doi.org/10.1016/j.coastaleng.2013.07.003, 2013. 
Buchanan, M. K., Oppenheimer, M., and Kopp, R. E.: Amplification of flood frequencies with local sea level rise and emerging flood regimes, Environ. Res. Lett., 12, 064009, https://doi.org/10.1088/1748-9326/aa6cb3, 2017. 
Bulteau, T., Idier, D., Lambert, J., and Garcin, M.: How historical information can improve estimation and prediction of extreme coastal water levels: application to the Xynthia event at La Rochelle (France), Nat. Hazards Earth Syst. Sci., 15, 1135–1147, https://doi.org/10.5194/nhess-15-1135-2015, 2015. 
Caldwell, P. C., Merrfield, M. A., and Thompson, P. R.: Sea level measured by tide gauges from global oceans – the Joint Archive for Sea Level holdings (NCEI Accession 0019568), Version 5.5, NOAA Natl. Centers Environ. Information, Dataset, https://doi.org/10.7289/V5V40S7W, 2015. 
Ceres, R., Forest, C. E., and Keller, K.: Understanding the detectability of potential changes to the 100-year peak storm surge, Clim. Change, 145, 221–235, https://doi.org/10.1007/s10584-017-2075-0, 2017. 
Download
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.