The Use of Microwave Satellite Data Affected by Cloud in Numerical Forecast of Typhoon

Ren Qiang; Dong Peiming; Xue Jishan

Vol.20, NO.2, 2009

Article Contents

Article Navigation > Journal of Applied Meteorological Science > 2009 > 20(2): 137-146

Ren Qiang, Dong Peiming, Xue Jishan. The use of microwave satellite data affected by cloud in numerical forecast of typhoon. J Appl Meteor Sci, 2009, 20(2): 137-146.

Citation:

Ren Qiang, Dong Peiming, Xue Jishan. The use of microwave satellite data affected by cloud in numerical forecast of typhoon. J Appl Meteor Sci, 2009, 20(2): 137-146.

Ren Qiang, Dong Peiming, Xue Jishan. The use of microwave satellite data affected by cloud in numerical forecast of typhoon. J Appl Meteor Sci, 2009, 20(2): 137-146.

Citation:

Ren Qiang, Dong Peiming, Xue Jishan. The use of microwave satellite data affected by cloud in numerical forecast of typhoon. J Appl Meteor Sci, 2009, 20(2): 137-146.

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The Use of Microwave Satellite Data Affected by Cloud in Numerical Forecast of Typhoon

1.
State Key Laboratory of Severe Weather, Chinese Academy of Meteorological Sciences, Beijing 100081
2.
Institute of Meteorology, PLA University of Science and Technology, Nanjing 211101
3.
Beijing Aviation Meteorological Institute, Beijing 100085

Received Date: 2008-05-27
Rev Recd Date: 2009-02-09
Publish Date: 2009-04-30

Abstract

Abstract

Satellite data is being used in numerical weather prediction and takes up the role of main data source among the observations used. The quality of initial condition and the accuracy of numerical weather forecast are greatly improved by using satellite data. It is extremely important to use the satellite data in the numerical forecast of typhoon for there are few regular observations on the sea. However, only cloud-cleared satellite data is used in most current data assimilation systems because of the complexity to cope with the radiant effect of cloud and rain particles in radiation transfer model. The cloudy and rainy reg ion is always the sensitive area.The observation in these areas implies much information to weather system and has great impacts on the numerical forecast. There is a crucial need to handle the satellite data affected by cloud and rain in numerical weather forecast, but with caution at the same time. At present, the satellite data affected by cloud is examined through the cloud examination method.The No. 0604 typhoon Bilis is taken as a research case. A set of experiments are designed to use the satellite microwave data in cloudy area based on the cloud examination scheme. Scattering index, precipitation probability and precipitation examination are taken for AMS U-A. For AMS U-B, the bias between simulated bright tempe rature and observation of AMS U-B channel 2 and Bennartz scattering index are utilized. Different satellite data affected by cloud is used in data assimilation system by different cloud examinations and channel selection schemes.The screening of satellite data affected by cloud, together with their influences on the numerical forecast of Bilis's three periods, corresponding to formation, maturation and landing, is examined respectively. The result shows that more AMSU-A data is screened by scattering index than precipitation probability and precipitation examination. The scattering index with threshold 15 is suitable for the use of AMSU-A data in regional model. For AMSU-B, the bias between simulated bright temperature and observation of AMSU-B channel 2 performs better than Bennartz scattering index.
- microwave satellite data;
- cloud examination;
- GRAPES-3Dvar;
- typhoon;
- numerical forecast

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References(17)

Figures and Tables

图 1 图 1各种云检测方法的计算值

(a) 散射因子, (b) 降水概率, (c) 小雨检测, (d) 通道2亮温模拟误差, (e) Bennartz散射因子

Fig. 1 The value of cloud examination methods

(a) scattering index, (b) precipitation probability, (c) precipitation examination, (d) bias between simulated bright temperature and observation for channel 2, (e) Bennartz scattering index

DownLoad: Full-Size Img PowerPoint

图 2 2006年7月10日18:00背景场沿台风中心18.5°N, 130.7°E的纬向垂直剖面

(a) 温度距平 (单位：K), (b) 标量风场 (单位：m·s^-1), (c) 相对湿度 (单位：%)

Fig. 2 The zonal vertical cross section of background through the typhoon center 18.5°N, 130.7°E at 18:00 10 July 2006

(a) temperature anomaly (unit:K), (b) scalar wind (unit:m·s^-1), (c) relative humidity (unit:%)

DownLoad: Full-Size Img PowerPoint

图 3 2006年7月10日18:00背景场沿台风中心18.5°N, 130.7°E的纬向垂直剖面

Fig. 3 The zonal vertical cross section of background through the typhoon center 18.5°N, 130.7°E at 18:00 10 July 2006

DownLoad: Full-Size Img PowerPoint

图 4 2006年7月10日18:00湿度增量沿台风中心18.5°N, 130.7°E的纬向垂直剖面 (单位:%)

Fig. 4 The zonal vertical cross section of humility increment through the typhoon center 18.5°N, 130.7°E at 18:00 10 July 2006(unit:%)

DownLoad: Full-Size Img PowerPoint

表 1 同化试验方案列表

Table 1 List of assimilation experiment design

表 2 AMSU-A云检测方案检测出受云影响扫描点数目和模拟亮温与观测偏差的均方根误差 (单位: K)

Table 2 The number of cloudy satellite observation point and the root mean square error of the bias between simulated bright temperature and observation for AMSU-A (unit: K)

表 3 AMSU-B云检测方案检测出受云影响扫描点数目和模拟亮温与观测偏差的均方根误差 (单位: K)

Table 3 The number of cloudy satellite observation point and the root mean square error of the bias between simulated bright temperature and observation for AMSU-B (unit : K)

表 4 台风Bilis3个阶段60h模拟与真实路径的误差 (单位: km)

Table 4 The error between simulated and observation trace for Bilis of three stages (unit: km)

References

[1]	Andersson E, Pailleux J, Thepaut J N, et al.Use of cloudcleared radiances in three/ four-dimen sional variational data assimilation.Q J R Meteorol Soc, 1993, 119:627-653. http://d.wanfangdata.com.cn/NSTLQK_10.1002-qj.49712051707.aspx
[2]	Derber J C, Wu W S. The use of TOVS cloud-cleared radiances in the NCEP SSI analysis system. Mon Wea Rev, 1998, 126:2287-2299. doi: 10.1175/1520-0493(1998)126<2287:TUOTCC>2.0.CO;2
[3]	董佩明, 薛纪善, 黄兵, 等.数值天气预报中卫星资料同化应用的现状和发展.气象科技, 2008, 36(1):1-5. http://www.cnki.com.cn/Article/CJFDTOTAL-CAIZ201334240.htm
[4]	翁永辉, 徐祥德.应用TOVS资料变分分析技术增加青藏高原地区模式初始场信息.气象学报, 2000, 58(6): 679-691. http://www.cnki.com.cn/Article/CJFDTOTAL-QXXB200006003.htm
[5]	潘宁, 董超华, 张文建.ATOVS辐射率资料的直接变分同化试验研究.气象学报, 2003, 61(2):226-235. http://www.cnki.com.cn/Article/CJFDTOTAL-QXXB200302007.htm
[6]	张华, 丑纪范, 邱崇践.西北太平洋威马逊台风结构的卫星观测同化分析.科学通报, 2004, 49(5): 493-498. http://www.cnki.com.cn/Article/CJFDTOTAL-KXTB200405018.htm
[7]	Zhang Hua, Xue Jishan, Zhu Guofu, et al. Application of direct assimilation of ATOVS microwave radiance to typhoon track prediction. Adv Atmos Sci, 2004, 21(2):283-290. doi: 10.1007/BF02915715
[8]	Gérard É, Rabier F, Lacroix D, et al. Use of ATOVS Raw Radiances in the Operational Assimilation System at MétéoFrance∥Proceedings of 13rd International TOVS Study Conference. Ste Adèle, Canada, 2003.
[9]	Bennartz R, Thoss A, Dybbroe A, et al. Precipitation analysisusing the advanced microwave sounding unit in support of nowcasting applications. Meteorological Applications, 2002, 9: 177-189. doi: 10.1017/S1350482702002037
[10]	Chouinard C, Hallé J.The Assim ilation of AMSU-B Radiances in the CMC Global Data Assimilation System : Difficulties and Impact relative to AMSU-A Radiances∥Proceedings of 13rd International TOVS Study Conference.Ste Adèle, Canada, 2003.
[11]	English S J, Renshaw R J, Dibben P C, et al.The AAPP Module for Identifying Precipitation, Ice Cloud, Liquid Cloud and Surface Type on the AMSU-A Grid∥Proceedings of the 9th International TOVS Study Conference. Igls, Austria, 1997.
[12]	Candy B, English S, Renshaw R, et al. Use of AMSU Data in the MetOffice UK Mesoscale Model∥Proceedings of the 13rd International TOVS Study Conference. Ste Adèle, Canada, 2003.
[13]	Tiphaine L, Nigel A, Pascal B. AAPP Documentation Software Description Document. NWPSAF-MF-UD-002, 2006: 1-142.
[14]	Weng F, Han Y, Van Delst P, et al. JCSDA Community Radiative Transfer Model (CRTM)∥ Proceedings of the 14th International TOVS Study Conference. Beijing, China, 2005. http://cimss.ssec.wisc.edu/itwg/itsc/itsc14/proceedings/6_8_Weng.pdf
[15]	薛纪善.新世纪初我国数值天气预报的科技创新研究.应用气象学报, 2006, 17(5):602-609. http://qk.cams.cma.gov.cn/jams/ch/reader/view_abstract.aspx?file_no=200605103&flag=1
[16]	Dong Peiming, Liu Zhiquan, Xue Jishan, et al. The Use of ATOVS Microwave Data in the GRAPES-3Dvar System ∥ Proceedings of the 14th International TOVS Study Conference. Beijing, China, 2005.
[17]	刘春霞, 王静, 齐义泉, 等.基于WRF模式同化QuickSCAT风场资料的初步试验.热带海洋学报, 2004, 23(6):69-74. http://www.cnki.com.cn/Article/CJFDTOTAL-RDHY200406006.htm