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作 者:王天驹[1,2] 齐琳琳[2] 朱江[3] 王举[1] 宋攀[1,2] 王晓丹[2] Wang Tianju Qi Linlin Zhu Jiang Wang Ju Song Pan Wang Xiaodan(College of Meteorology and Oceanography, PLA University of Science and Technology , Nanjing 211101, China Institute of Aeronautical Meteorology, Equipment Academy of Air Force, Beijing 100085, China International Center for Climate and Enzdronrnent Science, Institute of Atmosphere Physics, Chinese Academy of Sciences, Beijing 100029, China)
机构地区:[1]解放军理工大学气象海洋学院,江苏南京211101 [2]空军装备研究院航空气象防化研究所,北京100085 [3]中国科学院大气物理研究所国际气候与环境科学中心,北京100029
出 处:《海洋学报》2017年第2期29-38,共10页
基 金:中国科学院战略性先导科技专项(XDA10010405);国家高技术研究发展计划(863计划)资助项目(2012AA091801);国家自然科学基金资助项目(41205044)
摘 要:基于海浪模式SWAN(Simulating Waves Nearshore),以台风"Lipee"为例,开展了集合最优插值(EnOI)同化HY-2卫星高度计有效波高(SWH)资料的台风浪数值预报影响研究。结果表明,利用HY-2卫星高度计波高资料结合EnOI方法进行同化,可有效改善海浪初始场质量,同化对绝对误差的改进可达15%,均方根误差改进14%。同化对预报误差、均方根误差都有一定程度的改进,其中在0~24h预报时效内的改进最为明显,绝对误差可改进12%,均方根误差改进13%。研究结果不仅可为海洋预报、同化提供参考,而且可为进一步加强HY-2卫星高度计资料的应用提供技术支持。Ensemble Optimal Interpolation (EnOI) assimilation of HY-2 satellite altimetry data into SWAN (Simulating Waves Nearshore) model was applied into wave simulating and forecasting of typhoon "Lipee". The results showed that the assimilation of EnOI combined with HY-2 satellite altimeter wave data could improve the accuracy of initial field. The accuracy of the bias of the initial field could be improved by 15 %, and the RMSE of it could be improved by 14%. The bias and RMSE of forecasting both decreased at different levels. The accuracy of the forecasting field could be improved most in the first 24 hours, and the values of bias and RMSE were decreased by 12% and 13%. Conclusion of these experiments can provide information for wave forecasting and simulation, and can strength the use of HY-2 satellite altimetry data into practice.
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