利用高分辨率大气模式WRF(Weather Research Forecast)耦合了简单的海洋混合层模式,设计了不同海洋初始混合层厚度条件下的数值试验,研究了不同混合层厚度对热带气旋(TC)结构和强度的影响。结果表明,当TC经过海洋混合层厚度较浅海域时,T...利用高分辨率大气模式WRF(Weather Research Forecast)耦合了简单的海洋混合层模式,设计了不同海洋初始混合层厚度条件下的数值试验,研究了不同混合层厚度对热带气旋(TC)结构和强度的影响。结果表明,当TC经过海洋混合层厚度较浅海域时,TC对应的海洋底层的冷水更易上翻,最冷中心区出现在TC大风中心右后方160～240km处,海表面温度最大降温值可达-7℃,使其右后方的总表面热量通量交换显著减少,导致TC强度显著变弱;海洋冷却作用还会增强TC结构的非对称性,这与海洋冷却作用的非对称造成TC在边界层附近的涡度和散度平流分布不均密切相关。展开更多
An adaptive variational data assimilation method is proposed by Zhu and Kamachi[1]. This method can adaptively adjust the model state without knowing explicitly the model error covariance matrix. The method enables ve...An adaptive variational data assimilation method is proposed by Zhu and Kamachi[1]. This method can adaptively adjust the model state without knowing explicitly the model error covariance matrix. The method enables very flexible ways to form some reduced order problems. A proper reduced order problem not only reduces computational burden but also leads to corrections that are more consistent with the model dynamics that trends to produce better forecast. These features make the adaptive variational method a good candidate for SST data assimilation because the model error of an ocean model is usually difficult to estimate. We applied this method to an SST data assimilation problem using the LOTUS data sets and an ocean mixed layer model (Mellor-Yamada level 2.5). Results of assimilation experiments showed good skill of improvement subsurface temperatures by assimilating surface observation alone.展开更多
The persistence barrier of sea surface temperature anomalies （SSTAs） in the North Pacific was investigated and compared with the ENSO spring persistence barrier. The results show that SSTAs in the central western No...The persistence barrier of sea surface temperature anomalies （SSTAs） in the North Pacific was investigated and compared with the ENSO spring persistence barrier. The results show that SSTAs in the central western North Pacific （CWNP） have a persistence barrier in summer： the persistence of SSTAs in the CWNP shows a significant decline in summer regardless of the starting month. Mechanisms of the summer persistence barrier in the CWNP are different from those of the spring persistence barrier of SSTAs in the central and eastern equatorial Pacific. The phase locking of SSTAs to the annual cycle does not explain the CWNP summer persistence barrier. Remote ENSO forcing has little linear influence on the CWNP summer persistence barrier, compared with local upper-ocean process and atmospheric forcing in the North Pacific. Starting in wintertime, SSTAs extend down to the deep winter mixed layer then become sequestered beneath the shallow summer mixed layer, which is decoupled from the surface layer. Thus, wintertime SSTAs do not persist through the following summer. Starting in summertime, persistence of summer SSTAs until autumn can be explained by the atmospheric forcing through a positive SSTAs-cloud/radiation feedback mechanism because the shallow summertime mixed layer is decoupled from the temperature anomalies at depth, then the following autumnwinter-spring, SSTAs persist. Thus, summer SSTAs in the CWNP have a long persistence, showing a significant decline in the following summer. In this way, SSTAs in the CWNP show a persistence barrier in summer regardless of the starting month.展开更多
基于NOAA和NCEP再分析资料以及CMIP5(coupled model intercomparison project phase5)模式历史试验输出结果,首先评估模式对控制台风强度的大尺度环境因子空间分布的模拟能力,然后在台风主要发展区域,评估模式对环境因子的空间分布和时...基于NOAA和NCEP再分析资料以及CMIP5(coupled model intercomparison project phase5)模式历史试验输出结果,首先评估模式对控制台风强度的大尺度环境因子空间分布的模拟能力,然后在台风主要发展区域,评估模式对环境因子的空间分布和时间变化特征的模拟能力。结果表明:CESM1-BGC,CESM1-CAM5和CNRM-CM5能模拟出观测的海表面温度气候分布和上升特征;CCSM4,CESM1-BGC和CESM1-CAM5能模拟出观测的混合层厚度气候分布和增厚特征;ACCESS1-0,ACCESS1-3,CanESM2和GFDL-ESM2M能模拟出观测流出层温度气候分布和下降特征,但模拟的下降率小。ACCESS1-0,CESM1-CAM5,CNRM-CM5,MPI-ESM-MR和GFDL-ESM2G能模拟出观测垂直风切变的气候分布和趋势特征。综合评估表明CESM1-BGC和CESM1-CAM5可用来研究西北太平洋台风强度的气候变化问题。展开更多
文摘利用高分辨率大气模式WRF(Weather Research Forecast)耦合了简单的海洋混合层模式,设计了不同海洋初始混合层厚度条件下的数值试验,研究了不同混合层厚度对热带气旋(TC)结构和强度的影响。结果表明,当TC经过海洋混合层厚度较浅海域时,TC对应的海洋底层的冷水更易上翻,最冷中心区出现在TC大风中心右后方160～240km处,海表面温度最大降温值可达-7℃,使其右后方的总表面热量通量交换显著减少,导致TC强度显著变弱;海洋冷却作用还会增强TC结构的非对称性,这与海洋冷却作用的非对称造成TC在边界层附近的涡度和散度平流分布不均密切相关。
基金This work was supported by the National Key Basic Research Development Programme (Grant No. G1998040901-5)the National Natural Science Foundation of China (Grant No. 40176009) the Hundred Talents Project of the Chinese Academy of Sciences.
文摘An adaptive variational data assimilation method is proposed by Zhu and Kamachi[1]. This method can adaptively adjust the model state without knowing explicitly the model error covariance matrix. The method enables very flexible ways to form some reduced order problems. A proper reduced order problem not only reduces computational burden but also leads to corrections that are more consistent with the model dynamics that trends to produce better forecast. These features make the adaptive variational method a good candidate for SST data assimilation because the model error of an ocean model is usually difficult to estimate. We applied this method to an SST data assimilation problem using the LOTUS data sets and an ocean mixed layer model (Mellor-Yamada level 2.5). Results of assimilation experiments showed good skill of improvement subsurface temperatures by assimilating surface observation alone.
基金supported by the 973 program(Grant No.2010CB950400)the Innovation Key Program(Grant No.KZCX2-YWQ11-02) of the Chinese Academy of Sciences+2 种基金the NSFC project(Grant Nos.41030961,41005042,and 41005049)the Fund of State Key Laboratory of Tropical Oceanography(South China Sea Institute of Oceanology,Chinese Academy of Sciences(LTO1101)the 973 program (Grant No.2012CB956000)
文摘The persistence barrier of sea surface temperature anomalies （SSTAs） in the North Pacific was investigated and compared with the ENSO spring persistence barrier. The results show that SSTAs in the central western North Pacific （CWNP） have a persistence barrier in summer： the persistence of SSTAs in the CWNP shows a significant decline in summer regardless of the starting month. Mechanisms of the summer persistence barrier in the CWNP are different from those of the spring persistence barrier of SSTAs in the central and eastern equatorial Pacific. The phase locking of SSTAs to the annual cycle does not explain the CWNP summer persistence barrier. Remote ENSO forcing has little linear influence on the CWNP summer persistence barrier, compared with local upper-ocean process and atmospheric forcing in the North Pacific. Starting in wintertime, SSTAs extend down to the deep winter mixed layer then become sequestered beneath the shallow summer mixed layer, which is decoupled from the surface layer. Thus, wintertime SSTAs do not persist through the following summer. Starting in summertime, persistence of summer SSTAs until autumn can be explained by the atmospheric forcing through a positive SSTAs-cloud/radiation feedback mechanism because the shallow summertime mixed layer is decoupled from the temperature anomalies at depth, then the following autumnwinter-spring, SSTAs persist. Thus, summer SSTAs in the CWNP have a long persistence, showing a significant decline in the following summer. In this way, SSTAs in the CWNP show a persistence barrier in summer regardless of the starting month.
文摘基于NOAA和NCEP再分析资料以及CMIP5(coupled model intercomparison project phase5)模式历史试验输出结果,首先评估模式对控制台风强度的大尺度环境因子空间分布的模拟能力,然后在台风主要发展区域,评估模式对环境因子的空间分布和时间变化特征的模拟能力。结果表明:CESM1-BGC,CESM1-CAM5和CNRM-CM5能模拟出观测的海表面温度气候分布和上升特征;CCSM4,CESM1-BGC和CESM1-CAM5能模拟出观测的混合层厚度气候分布和增厚特征;ACCESS1-0,ACCESS1-3,CanESM2和GFDL-ESM2M能模拟出观测流出层温度气候分布和下降特征,但模拟的下降率小。ACCESS1-0,CESM1-CAM5,CNRM-CM5,MPI-ESM-MR和GFDL-ESM2G能模拟出观测垂直风切变的气候分布和趋势特征。综合评估表明CESM1-BGC和CESM1-CAM5可用来研究西北太平洋台风强度的气候变化问题。
