Analysis of different atmospheric physical parameterizations in COAWST modeling system for the Tropical Storm Nock-ten application

Danqin Ren (), Jiantin Du, Feng Hua, Yongzeng Yang and Lei Han
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Danqin Ren: State Oceanic Administration
Jiantin Du: Technical University of Denmark
Feng Hua: State Oceanic Administration
Yongzeng Yang: State Oceanic Administration
Lei Han: State Oceanic Administration

Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, 2016, vol. 82, issue 2, No 9, 903-920

Abstract: Abstract A coupled ocean–atmosphere–wave–sediment transport modeling system was applied to study the atmosphere and ocean dynamics during Tropical Storm Nock-ten. Different atmospheric physical parameterizations in WRF model were investigated through ten groups of numerical experiments. Results of atmosphere, ocean wave and current features were compared with storm observations, ERA-Interim data, NOAA sea surface temperature data, AVISO current data and HYCOM data, respectively. It was found that the storm track and intensity are sensitive to the cumulus and radiation schemes in WRF, especially around the storm center area. As a result, using Kain–Fritsch cumulus scheme, Goddard shortwave radiation scheme and RRTM longwave radiation scheme in WRF may lead to much larger wind intensity, significant wave height, current intensity, as well as lower SST and sea surface pressure. Thus, they are not recommended for this study. Ocean parameters such as significant wave height, SST and current speed are more sensitive to Single-Moment 6-class microphysics scheme than to Eta microphysics scheme at the storm center. By analyzing modeled data with JASON-2 altimeter data, ERA-Interim data and HYCOM data in terms of fitting coefficient, root-mean-square error, correlation coefficient and model performance, the recommended atmospheric physical parameterization in this coupled system, have been obtained.

Keywords: COAWST modeling system; Tropical storm; Atmospheric physical parameterization; Storm center (search for similar items in EconPapers)
Date: 2016
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DOI: 10.1007/s11069-016-2225-0

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