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전지구 예보모델의 대기-해양 약한 결합자료동화 활용성에 대한 연구

Application of Weakly Coupled Data Assimilation in Global NWP System

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참고문헌

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주제분류대기과학

초록

Generally, the weather forecast system has been run using prescribed ocean condition. As it is widely known that coupling between atmosphere and ocean process produces consistent initial condition at all-time scales to improve forecast skill, there are many trials on the application of data assimilation of coupled model. In this study, we implemented a weakly coupled data assimilation (short for WCDA) system in global NWP model with low horizontal resolution for coupled forecast with uncoupled initialization, following WCDA system at the Met Office. The experiment is carried out for a typhoon evolution forecast in 2017. Air-sea exchange process provides SST cooling and gives a substantial impact on tendency of central pressure changes in the decaying phase of the typhoon, except the underestimated central pressure. Coupled data assimilation is a challenging new area, requiring further work, but it would offer the potential for improving air-sea feedback process on NWP timescales and finally contributing forecast accuracy.

Abstract

Generally, the weather forecast system has been run using prescribed ocean condition. As it is widely known that coupling between atmosphere and ocean process produces consistent initial condition at all-time scales to improve forecast skill, there are many trials on the application of data assimilation of coupled model. In this study, we implemented a weakly coupled data assimilation (short for WCDA) system in global NWP model with low horizontal resolution for coupled forecast with uncoupled initialization, following WCDA system at the Met Office. The experiment is carried out for a typhoon evolution forecast in 2017. Air-sea exchange process provides SST cooling and gives a substantial impact on tendency of central pressure changes in the decaying phase of the typhoon, except the underestimated central pressure. Coupled data assimilation is a challenging new area, requiring further work, but it would offer the potential for improving air-sea feedback process on NWP timescales and finally contributing forecast accuracy.

참고문헌 (11)

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  7. Lea, D. J., "Assessing a new coupled data assimilation system based on the Met Office coupled atmosphere-land-ocean-sea ice model", Mon. Wea. Rev, 143, pp.4678~4694 (2015)[DOI]
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  10. J. Murphy, "Towards Prediction of Decadal Climate Variability and Change", Procedia Environmental Sciences, 1, pp.287~304 (2010), Elsevier BV[DOI]
  11. Polly J. Smith, "Exploring strategies for coupled 4D-Var data assimilation using an idealised atmosphere–ocean model", Tellus A: Dynamic Meteorology and Oceanography, 67(1), pp.27025~ (2015), Informa UK Limited[DOI]

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