高级检索

留言板

尊敬的读者、作者、审稿人, 关于本刊的投稿、审稿、编辑和出版的任何问题, 您可以本页添加留言。我们将尽快给您答复。谢谢您的支持!

姓名
邮箱
手机号码
标题
留言内容
验证码

ATOVS资料同化方案对暴雨模拟效果的影响

张斌 张立凤 熊春晖

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): 1017-1027. doi: 10.3878/j.issn.1006-9895.1401.13215
引用本文: 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): 1017-1027. doi: 10.3878/j.issn.1006-9895.1401.13215
ZHANG Bin, ZHANG Lifeng, XIONG Chunhui. Effects of ATOVS Data Assimilation Schemes on the Simulation of Heavy Rain[J]. Chinese Journal of Atmospheric Sciences, 2014, 38(5): 1017-1027. doi: 10.3878/j.issn.1006-9895.1401.13215
Citation: ZHANG Bin, ZHANG Lifeng, XIONG Chunhui. Effects of ATOVS Data Assimilation Schemes on the Simulation of Heavy Rain[J]. Chinese Journal of Atmospheric Sciences, 2014, 38(5): 1017-1027. doi: 10.3878/j.issn.1006-9895.1401.13215

ATOVS资料同化方案对暴雨模拟效果的影响

doi: 10.3878/j.issn.1006-9895.1401.13215
基金项目: 国家自然科学基金项目41375063、41205074

Effects of ATOVS Data Assimilation Schemes on the Simulation of Heavy Rain

  • 摘要: 本文利用WRF 模式及其3DVar 同化系统,以2009 年6 月29 日00 时到30 日00 时的湖北鹤峰暴雨为研究个例,对ATOVS 探测器的AMSU-A、AMSU-B 和HIRS 三类资料进行了不同的同化方案试验。结果表明:同化ATOVS 三类资料对暴雨模拟的影响不同,HIRS 资料对暴雨模拟效果改进最大,AMSU-B 次之,AMSU-A 最小。同时同化ATOVS 三类资料时,AMSU-A 资料起主要作用,其同化效果与同时同化ATOVS 三类资料相近,优化组合同化AMSU-B 和HIRS 资料的效果最好。同化ATOVS 不同资料对初始要素场的影响不同,AMSU-A 资料主要影响大气温度场,AMSU-B 资料对中高空要素场的影响较大,HIRS 资料对低空湿度场及风场的协同改变最有利于降水模拟的改善。同时ATOVS 资料的稀疏分辨率也是影响同化效果的一个因子,在模式分辨率不变时,同化资料稀疏分辨率可能存在最佳选择。
  • [1] Bouttier F, Kelly G. 2001. Observing-system experiments in the ECMWF 4D-Var data assimilation system [J]. Quart. J. Royal Meteor. Soc., 127(574): 1469-1488.
    [2] English S J, Renshaw R J, Dibben P C, et al. 2000. A comparison of the impact of TOVS arid ATOVS satellite sounding data on the accuracy of numerical weather forecasts [J]. Quart. J. Roy. Meteor. Soc., 126 (569): 2911-2931.
    [3] 郭锐, 张国平, 李泽椿. 2010. 对于一次川渝暴雨的ATOVS 资料同化数值模拟 [J]. 大气科学学报, 33 (5): 615-623. Guo Rui, Zhang Guoping, Li Zechun. 2010. Assimilation and numerical simulation of ATOVS data of the heavy rain over Eastern Sichuan Province and Chongqing [J]. Trans. Atmos. Sci. (in Chinese), 33 (5): 615-623.
    [4] Lee M S, Lee D-K. 2003. An application of a weakly constrained 4DVAR to satellite data assimilation and heavy rainfall simulation [J]. Mon. Wea.Rev., 131 (9): 2151-2176.
    [5] Liu Z Q, Rabier F. 2002. The interaction between model resolution, observation resolution and observation density in data assimilation: A one-dimensional study [J]. Quart. J. Roy. Meteor. Soc., 128 (582): 1367-1386.
    [6] 刘志权, 张凤英, 吴雪宝, 等. 2007. 区域极轨卫星ATOVS 辐射偏差订正方法研究 [J]. 气象学报, 65 (1): 113-123. Liu Zhiquan, Zhang Fengying, Wu Xuebao, et al. 2007. A regional ATOVS radiance-bias correction scheme for radiance assimilation [J]. Acta Meteor. Sinica, 65(1): 113-123.
    [7] 闵爱荣, 廖移山, 王晓芳, 等. 2009. 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, 25 (3): 314-320. Min Airong,Liao Yishang, Wang Xiaofang, et al. 2009. Analyzing the effect of variational data assimilation of satellite radiance on a heavy rain [J]. J.Tropical Meteor. (in Chinese), 25 (3): 314-320.
    [8] Ochotta T, Gebhardt C, Saupe D, et al. 2005. Adaptive thinning of atmospheric observations in data assimilation with vector quantization and filtering methods [J]. Quart. J. Roy. Meteor. Soc., 131(613): 3427-3437.
    [9] Okamoto K, Kazumori M, Owada H. 2005. The assimilation of ATOVS radiances in the JMA global analysis system [J]. J. Meteor. Soc. Japan, 83(2): 201-217.
    [10] 潘宁, 董超华, 张文建. 2003. ATOVS 辐射率资料的直接变分同化试验研究 [J]. 气象学报, 61 (2): 226-236. Pan Ning, Dong Chaohua,Zhang Wenjian. 2003. The experiments on direct assimilating ATOVS radiance [J]. Acta Meteorological Since (in Chinese), 61 (2): 226-236.
    [11] Qi Linlin, Sun Jianhua. 2006. Application of ATOVS microwave radiance assimilation to rainfall prediction in Summer 2004 [J]. Adv. Atmos. Sci.,23 (5): 815-830.
    [12] 齐琳琳, 孙建华, 张小玲, 等. 2005. 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, 29 (5): 780-789. Qi Linlin, Sun Jianhua, Zhang Xiaoling, et al. 2005. The ATOVS data assimilating experiments on the heavy rain over the Yangtze River basin [J]. Chinese J.Atmos. Sci. (in Chinese), 29 (5): 780-789.
    [13] 孙建华, 赵思雄. 2002. 华南 “94.6” 特大暴雨的中尺度对流系统及其环境场研究I. 引发暴雨的中β 尺度对流系统的数值模拟研究 [J]. 大气科学, 26 (4): 541-557.
    [14] Sun Jianhua, Zhao Sixiong. 2002. A study of mesoscale convective systems and its environmental fields during the June 1994 record heavy rainfall of South China. Part I: A numerical simulation study of meso-β convective system inducing heavy rainfall [J].Chinese J. Atmos. Sci. (in Chinese), 26 (4): 541-557.
    [15] Xu J, Wan Q, Wang D. 2006. Application of ATOVS radiance data assimilation in reduction of rainstorm over the South China Sea [C].Western Pacific Geophysics Meeting.
    [16] 张斌, 张立凤, 彭军, 等. 2011. 湖北鹤峰一次特大暴雨过程的数值模拟及偏差成因分析 [J]. 暴雨灾害, 30 (4): 343-348. Zhang Bin, Zhang Lifeng, Peng Jun, et al. 2011. Numerical simulation and analysis on the origion of deviation of an excessive storm in Hefeng, Hubei Province [J].Torrential Rain and Disasters (in Chinese), 30 (4): 343-348.
    [17] Zavodsky B, Lazarus S, Li X, et al. 2008. Intelligent data thinning algorithms for satellite imagery [C]. Geoscience and Remote Sensing Symposium.
  • 加载中
计量
  • 文章访问数:  3166
  • HTML全文浏览量:  1
  • PDF下载量:  2290
  • 被引次数: 0
出版历程
  • 收稿日期:  2013-07-16
  • 修回日期:  2014-01-08

目录

    /

    返回文章
    返回