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

Author

Listed:
  • 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)

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.

Suggested Citation

  • Danqin Ren & Jiantin Du & Feng Hua & Yongzeng Yang & Lei Han, 2016. "Analysis of different atmospheric physical parameterizations in COAWST modeling system for the Tropical Storm Nock-ten application," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 82(2), pages 903-920, June.
    • Handle: RePEc:spr:nathaz:v:82:y:2016:i:2:d:10.1007_s11069-016-2225-0
    DOI: 10.1007/s11069-016-2225-0
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    References listed on IDEAS

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    1. Desamsetti Srinivas & Dodla Bhaskar Rao, 2014. "Implications of vortex initialization and model spin-up in tropical cyclone prediction using Advanced Research Weather Research and Forecasting Model," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 73(2), pages 1043-1062, September.
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    Cited by:

    1. Mohsen Soltanpour & Zahra Ranji & Tomoya Shibayama & Sarmad Ghader, 2021. "Tropical Cyclones in the Arabian Sea: overview and simulation of winds and storm-induced waves," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 108(1), pages 711-732, August.

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