Predicting ocean waves along the US east coast during energetic winter storms: sensitivity to whitecapping parameterizations

Allahdadi, Mohammad Nabi; He, Ruoying; Neary, Vincent S.

doi:https://doi.org/10.5194/os-15-691-2019

Articles | Volume 15, issue 3

https://doi.org/10.5194/os-15-691-2019

© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.

https://doi.org/10.5194/os-15-691-2019

© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.

Articles | Volume 15, issue 3

Research article

|

06 Jun 2019

Research article |

| 06 Jun 2019

Predicting ocean waves along the US east coast during energetic winter storms: sensitivity to whitecapping parameterizations

Mohammad Nabi Allahdadi, Ruoying He, and Vincent S. Neary

Data sets

NCEP Climate Forecast System Reanalysis (CFSR) Selected Hourly Time-Series Products Saha et al., 2010 https://rda.ucar.edu/datasets/ds093.1/index.html/\#cgi-bin/datasets/getWebList?dsnum=093.1&action=customize&disp=

ETOPO1 1 Arc-Minute Global Relief Model: Procedures, Data Sources and Analysis, NOAA Technical Memorandum NESDIS NGDC-24 Amante and Eakins, 2019 https://www.ngdc.noaa.gov/mgg/global/global.html

U.S. Coastal Relief Model NOAA, 2009 https://www.ngdc.noaa.gov/mgg/coastal/crm.html

Short summary

Dissipation of ocean waves due to whitecapping is one of the most important processes that affect generation of gravity waves by wind. Different behavior of traditional approaches used for quantifying whitecapping dissipation under different wave conditions has always been a challenge to choose the most appropriate approach for a given area. The present paper examines the performance of two popular whitecapping approaches incorporated in SWAN during the winter storms along the US east coast.