首页期刊介绍通知公告编 委 会投稿须知电子期刊广告合作联系我们在线留言
 
微波温湿遥感资料在台风路径模拟中的同化试验
作者:王业桂  张斌  蔡其发  黄勇  兰伟仁 
单位:中国人民解放军 61741部队, 北京 100029
关键词:台风路径 数值模拟 同化 AMSU-A MHS 增量场 
分类号:P444
出版年·卷·期(页码):2018·35·第一期(1-11)
摘要:
基于WRF模式及其3DVar同化系统,针对1513号超强台风“苏迪罗”,对NOAA卫星中探测大气温度的AMSU-A资料和探测大气湿度的MHS资料进行同化,考察同化不同类型微波遥感资料对台风路径模拟的影响,结果表明:同化AMSU-A资料对台风路径模拟的改善要大于MHS资料,相对于控制试验,同化AMSU-A资料在预报时间段内将台风平均路径误差最多降低了49 km,而同化MHS资料则最多降低了29 km;组合同化AMSU-A和MHS资料并没有进一步提高台风路径模拟结果,这说明同化更多的资料量不一定能进一步改善台风路径的预报;同化AMSU-A资料对初始场的调整强度和范围大于MHS资料,但经过模式一段时间的积分,同化两类资料对物理场的调整强度接近;同化两类资料对物理场的调整与其对台风路径模拟的调整有着较好的对应。
Based on the WRF model and 3DVar assimilation method, the AMSU-A data for atmospheric temperature detection and MHS data for atmospheric temperature humidity of NOAA satellites were assimilated in the event of the super typhoon "soudelor"(Number 13, 2015), which aims to investigate the effects of assimilating different remote sensing data on typhoon track's simulation. The results demonstrated, the improvement of typhoon track simulation accuracy after assimilating AMSU-A data is larger than that after assimilating MHS data. Under different control experiments, the average track error of typhoon is decreased by 49km at most by assimilating AMSU-A data, while the average track error of typhoon is decreased by 29km at most by assimilating MHS data. the effectiveness of assimilating a combined data set include AMSU-A and MHS data on the improvement of the typhoon track was not better than that of assimilating separate data.. The intensity and range of adjustment on the initial field by assimilating AMSU-A data is larger than that by assimilating MHS data. After the model's integration for a period of time, the adjustment intensity on the physical field by assimilating two types of data became closer. The adjustment of the physical field by assimilating microwave remote sensing data well correspond to the adjustment on the typhoon track's simulation.
参考文献:
[1] 张晓慧, 张立凤, 熊春晖, 等. 基于集合变分混合同化方法的双台风数值模拟[J]. 热带气象学报, 2015, 31(4):505-516.
[2] 张斌, 张立凤, 熊春晖. ATOVS资料同化方案对暴雨模拟效果的影响[J]. 大气科学, 2014, 38(5):1017-1026.
[3] 刘松涛, 严卫, 王举. 利用AMSR-E对台风"泰利" 的初步分析[J]. 热带海洋学报, 2006, 25(5):26-30.
[4] 刘贝, 卢绍宗, 钱钰坤, 等. ATOVS亮温资料同化在台风数值模拟中的应用[J]. 热带海洋学报, 2014, 33(1):44-53.
[5] 董佩明, 薛纪善, 黄兵, 等. 数值天气预报中卫星资料同化应用现状和发展[J]. 气象科技, 2008, 36(1):1-7.
[6] 薛纪善. 气象卫星资料同化的科学问题与前景[J]. 气象学报, 2009, 67(6):903-911.
[7] English S J, Renshaw R J, Dibben P C, et al. A Comparison of the Impact of TOVS arid ATOVS Satellite Sounding Data on the Accuracy of Numerical Weather Forecasts[J]. Quarterly Journal of the Royal Meteorological Society, 2000, 126(569):2911-2931.
[8] English S J. Issues in the Assimilation of Cloud and Precipitation Affected Radiances and Prospects for Future Instruments[C]. Proceeding of ECMWF Seminar on Recent Developments in of Satellite Observations in Numerical Weather Prediction. 2007:151-158.
[9] Okamoto K, Kazumori M, Owada H. The Assimilation of ATOVS Radiances in the JMA Global Analysis System[J]. Journal of the Meteorological Society of Japan, 2005, 83(2):201-217.
[10] Eyre J R. Progress Achieved on Assimilation of Satellite Data in Numerical Weather Prediction over the Last 30 Years[C]. ECMWF Seminar on Recent Developments in Use of Satellite Observations in NWP. 2007:1-27.
[11] Zhu G F, Xue J S, Zhang H, et al. Direct Assimilation of Satellite Radiance Data in GRAPES Variational Assimilation System[J]. Chinese Science Bulletin, 2008, 53(22):3465-3469.
[12] 希爽, 马刚, 张鹏. ATOVS微波观测对2008年台风预报影响的初步评估[J]. 热带气象学报, 2014, 30(4):700-706.
[13] Zhang H, Xue J, Zhu G, et al. Application of Direct Assimilation of ATOVS Microwave Radiances to Typhoon Track Prediction[J]. Advances in Atmospheric Sciences, 2004, 21(2):283-290.
[14] Zhao Y, Wang B, Ji Z, et al. Improved Track Forecasting of a Typhoon Reaching landfall from Fou-Dimensional Variational Data Assimilation of AMSU-A Retrieved Data[J]. Journal of Geophysical Research:Atmospheres, 2005, 110(D14):D14101.
[15] 魏应植, 许健民, 周学鸣. 台风"杜鹃"的AMSU卫星微波探测资料分析[J]. 热带气象学报, 2005, 21(4):359-367.
[16] 杨引明, 杜明斌, 张洁. FY-3A微波资料在"莫拉克"台风预报中的同化试验[J]. 热带气象学报, 2012, 28(1):23-30.
[17] 杨春, 闵锦忠, 刘志权. AMSR2辐射率资料同化对台风"山神" 分析和预报的影响研究[J]. 大气科学, 2017, 41(2):372-384.
[18] 齐琳琳, 孙建华, 张小玲, 等. ATOVS资料在长江流域一次暴雨过程模拟中的应用[J]. 大气科学, 2005, 29(5):780-794.
[19] 闵爱荣, 廖移山, 王晓芳, 等. ATOVS资料的变分同化对一次暴雨过程预报的影响分析[J]. 热带气象报, 2009, 25(3):314-320.
[20] 安成, 王云峰, 袁金南, 等. 一种分析台风路径预报误差的新方法[J]. 海洋学报, 2014, 36(5):46-53.
[21] 王业桂, 张斌, 蔡其发, 等. 不同卫星微波遥感资料同化对台风路径模拟的影响[J]. 大气科学, 2018, doi:10.3878/j.issn.1006-9895.1709.17150.
[22] 吴俞, 麻素红, 肖天贵, 等. T213L31模式热带气旋路径数值预报误差分析[J]. 应用气象学报, 2011, 22(2):182-193.
[23] 汤杰. 西北太平洋台风路径业务预报误差初步分析[J]. 大气科学研究与应用, 2009, 17(2):21-31.
[24] 马雷鸣, 李佳, 黄伟, 等. 2007年国内台风模式路径预报效果评估[J]. 气象, 2008, 34(10):74-80.
[25] Goerss J S, Sampson C R, Gross J M. A History of Western North Pacific Tropical Cyclone Track Forecast Skill[J]. Weather and Forecasting, 2004, 19(3):633-638.
服务与反馈:
文章下载】【发表评论】【查看评论】【加入收藏
 
 海洋预报编辑部 地址:北京海淀大慧寺路8号
电话:010-62105776
投稿网址:http://www.hyyb.org.cn
邮箱:bjb@nmefc.cn