地球科学进展 ›› 2015, Vol. 30 ›› Issue (4): 505 -516. doi: 10.1167/j.issn.1001-8166.2015.04.0505

上一篇    

云分析预报方法研究进展
韩成鸣 1, 2( ), 李耀东 2, 史小康 2   
  1. 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
  • 收稿日期:2014-12-03 修回日期:2015-04-02 出版日期:2015-04-20
  • 基金资助:
    国家自然科学基金项目“东亚热带季风与副热带季风降水特征比较分析研究”(编号:41175046)和“FY-3微波亮温资料同化在区域陆气耦合模拟土壤湿度中的应用”(编号:41205009)资助

Overview of Researches on Cloud Analysis and Prediction Methods

Chengming Han 1, 2( ), Yaodong Li 2, Xiaokang Shi 2   

  1. 1. Institute of Meteorology and Oceanography, PLA University of Science and Technology, Nanjing 211101, China
    2. Institute of Aviational Meteorology of Beijing, Equipment Academy of Air Force, Beijing 100085, China
  • Received:2014-12-03 Revised:2015-04-02 Online:2015-04-20 Published:2015-04-20

云作为地球大气系统的重要组成部分,不仅影响着气候变化和天气系统的发展演变,还与航空活动密切相关,一直以来是空军和民航部门非常关注的气象要素之一。在云探测、资料同化和反演方法发展的基础上,从实际业务保障和数值模式发展需求出发,综述国内外云分析、预报方法和云分析预报系统开发的研究成果,分析各类方法的优势和不足,明确国内外研究的主要差距,并探讨国内未来研究的方向。云分析方法中,探空对云廓线识别较好,卫星可见光和红外资料在云顶信息反演方面优势明显,多普勒雷达能够获取对流层中层和底层的云信息,而毫米波雷达能够很好地反映云三维结构信息,发展潜力巨大。云预报方法中,传统的统计和诊断方法发展较为成熟,而考虑了大气温湿和云微物理状况的大气辐射传输模式正演模拟云顶亮温的方法是未来的发展趋势。加强云探测技术,综合利用云分析预报方法,借鉴国外先进云分析预报系统的设计理念,积极开发我国自主的云分析预报系统,推动天气预报、航空气象保障和数值预报模式的发展将会是我国云研究的重要方面。

As an important role of the EarthAtmosphere system, cloud not only affects the evolution of climate and weather system, but also is closely related to aviation activities. It has been regarded as one of the meteorological elements highly concerned by air force and civil aviation departments all the time. Based on the development of cloud detection, data assimilation and retrieval methods, from actual service assurance and development of numerical models, we made an overview of the study of cloud analysis methods, cloud prediction methods and system development of cloud analysis and prediction, analyzed the advantages and disadvantages of each method, determined the main differences at home and abroad, and discussed domestic research direction in the future. In cloud analysis methods, sounding is skilled in identification of cloud profile. Visible and infrared satellite data have obvious advantages on cloud-top retrieval. Doppler radar can get cloud information on middle and lower troposphere, and millimeter-wave radar well reflects three-dimensional structure of cloud with huge development potential. In cloud prediction methods, the development of traditional statistical and diagnostic method is relatively mature, while cloud-top brightness temperature simulated by atmosphere radiative transfer model, which considers moisture and temperature of atmosphere and cloud microphysics, will be the development tendency in the future. The enhancement of the cloud detection techniques, comprehensive utilization of cloud analysis and prediction methods, learning from foreign advanced concepts of cloud analysis and prediction system, active development of China’s own system, promotion of the development of weather forecast, aviation meteorological support and numerical prediction models are all areas of domestic cloud research in the future.

中图分类号: 

图1 LAPS云分析框架 [ 90 ]
Fig. 1 The frame of LAPS cloud analysis [ 90 ]
图2 LAPS三维云量导出分析 [ 90 ]
Fig. 2 Flow diagram of fields derived primarily from the LAPS three-dimensional cloud cover analysis [ 90 ]
[1] Sheng Peixuan, Mao Jietai, Li Jianguo, et al.Atmospheric Physics[M]. Beijing: Peking University Press, 2009:290-307.
[盛裴轩,毛节泰,李建国,等. 大气物理学[M]. 北京:北京大学出版社,2009:290-307.]
[2] Yang Jun, Chen Baojun, Yin Yan, et al.Physics of Clouds and Precipitation[M]. Beijing: China Meteorological Press, 2011:1-15.
[杨军,陈宝君,银燕,等. 云降水物理学[M]. 北京:气象出版社,2011:1-15.]
[3] Lu Yajun, Chen Gangyi, Gong Kejian, et al.Overview of researches on cloud sounding methods[J]. Meteorological Science and Technology, 2012,(5):689-697.
[陆雅君,陈刚毅,龚克坚,等. 测云方法研究进展[J]. 气象科技,2012,(5):689-697.]
[4] Essenwanger O, Haggard G.Frequency of clouds in height layers for Berlin(Tempelhof)[J]. Journal of Applied Meteorology, 1962, 1(4):560-569.
[5] Poore K D, Wang J H, Rossow W B.Cloud layer thicknesses from a combination of surface and upper-air observations[J]. Journal of Climate, 1995, 8(3):550-568.
[6] Wang J H, Rossow W B.Determination of cloud vertical structure from upper-air observations[J]. Journal of Applied Meteorology, 1995, 34(10): 2 243-2 258.
[7] Chernykh I V, Eskridge R E.Determination of cloud amount and level from radiosondesoundings[J]. Journal of Applied Meteorology, 1996, 35(8): 1 362-1 369.
[8] Minnis P, Yi Y H, Huang J P, et al.Relationships between radiosonde and RUC-2 meteorological conditions and cloud occurrence determined from ARM data[J]. Journal of Geophysical Research: Atmospheres(1984-2012),2005,110(D23),doi:10.1029/2005JD006005.
[9] Zhang Ling, Zhang Xiaoping, Ge Fan.The analysis of using radiosonde data to proofread cloud height[J]. Science & Technology Information, 2009,(1): 42-43.
[张玲,张小平,葛凡. 借用探空数据校对云高的分析[J]. 科技资讯,2009,(1):42-43.]
[10] Zhao Shiwei, Zhao Zengliang, Shi Huiyan, et al.A study on the application of WR95 rawinsonde observations in a mesoscale numerical model[C]//Proceedings of 26th Chinese Meteorological Society Annual Conference. Beijing: Chinese Meteorological Society, 2009.
[赵仕伟, 赵增亮, 史荟燕,等. WR95探空分析算法在中尺度数值模式中的应用研究[C]//第26届中国气象学会年会论文集, 北京:中国气象学会,2009.]
[11] Zhou Yuquan, Ou Jianjun.The method of cloud vertical structure analysis using rawinsonde observation and its applied research[J]. Meteorological Monthly, 2010,36(11):50-58.
[周毓荃, 欧建军. 利用探空数据分析云垂直结构的方法及其应用研究[J]. 气象, 2010, 36(11):50-58.]
[12] Ou Jianjun.The Method of Cloud Vertical Structure Analysis Using Upper-air Observation and Its Studying of Application[D]. Nanjing: Nanjing University of Information Science and Technology, 2011.
[欧建军. 利用探空数据分析云垂直结构的方法及其应用研究[D]. 南京:南京信息工程大学, 2011.]
[13] Zhang J Q, Chen H B, Li Z Q, et al.Analysis of cloud layer structure in Shouxian, China using RS92 radiosonde aided by 95 GHz cloud radar[J]. Journal of Geophysical Research: Atmospheres(1984-2012), 2010,115(D7),doi:10.1029/2010JD014030.
[14] Fang Zongyi, Tan Danyu.A review of satellite observed heavy rainfall cloud clusters[J]. Journal of Applied Meteorological Science, 2006, (5):583-593.
[方宗义, 覃丹宇. 暴雨云团的卫星监测和研究进展[J]. 应用气象学报, 2006, (5):583-593.]
[15] Daniel R, Garik G.Retrieving microphysical properties near the tops of potential rain clouds by multispectral analysis of AVHRR data[J]. Atmosphere Research, 1994, 34(1): 259-283.
[16] Liu Jian, Xu Jianmin, Fang Zongyi.Analysis of cloud properties using NOAA/AVHRR data[J]. Journal of Applied Meteorological Science, 1998, 9(4):449-455.
[刘健,许健民,方宗义. 利用NOAA卫星 AVHRR 资料分析云的性质[J]. 应用气象学报,1998, 9(4):449-455.]
[17] Liu Jian, Xu Jianmin, Fang Zongyi.Analysis of particle sizes at the top of cloud and fog with NOAA/AVHRR data[J]. Journal of Applied Meteorological Science, 1999, 10(1):28-33.
[刘健,许健民,方宗义. 利用NOAA卫星的AVHRR资料试分析云和雾顶部粒子的尺度特征[J]. 应用气象学报, 1999, 10(1):28-33.]
[18] Sheng Xia, Sun Longxiang, Zheng Qingmei.Cloud detection using MODIS data[J]. Journal of PLA University of Science and Technology, 2004, 5(4):98-102.
[盛夏,孙龙祥,郑庆梅. 利用MODIS数据进行云检测[J]. 解放军理工大学学报:自然科学版,2004, 5(4):98-102.]
[19] Tang Qi, Mao Jietai, Li Chengcai.Cloud detection over western China using MODIS data[J]. Plateau Meteorology, 2006, 25(6):990-1 000.
[汤琦,毛节泰,李成才.利用MODIS资料对中国西部地区的云检测[J]. 高原气象,2006, 25(6):990-1 000.]
[20] Wang Yongliang.The thin and transparent cloud detection of MODIS image[J]. Scientia Meteorological Sinica, 2007, 27(1):76-81.
[王永亮. MODIS图像的薄云透明云检测[J]. 气象科学,2007, 27(1):76-81.]
[21] Wang Hongqiang, Chen Yonghang, Peng Kuanjun, et al.Study on cloud water resources of mountain ranges in Xinjiang based on Aqua Satellite data[J]. Journal of Natural Resources, 2011, 26(1):89-95.
[王洪强,陈勇航,彭宽军,等. 基于Aqua卫星总云量资料分析山区云水资源[J]. 自然资源学报,2011, 26(1):89-95.]
[22] Lu Xu, Yan Wei, He Xiyu.Objective identification of AIRS cloud mask with MODIS cloud product[J].Meteorological Science and Technology, 2007, 35(5):740-744.
[卢姁,严卫,何锡玉. 利用MODIS云检测产品客观确定AIRS云检测[J]. 气象科技,2007, 35(5):740-744.]
[23] Liu Yujie, Yang Zhongdong, Liu Jian, et al.The Principle and Algorithm for Processing the Remote Sensing Information from MODIS[M]. Beijing: Science Press, 2001.
[刘玉洁,杨忠东,刘健,等. MODIS遥感信息处理原理与算法[M]. 北京:科学出版社,2001.]
[24] Liu Guihua, Yu Xing, Shi Chunxiang, et al.Comparisons of microphysical property of cloud retrieved from FY-3A/VIRR and TERRA/MODIS[J]. Plateau Meteorology, 2011, 30(2):461-470.
[刘贵华,余兴,师春香,等. FY-3A/VIRR反演云微物理特征及与TERRA/MODIS反演结果的比较[J]. 高原气象,2011, 30(2):461-470.]
[25] Hamada A, Nishi N, Iwasaki S, et al.Cloud type and top height estimation for tropical upper-tropospheric clouds using GMS-5 split-window measurements combined with cloud radar measurements[J]. SOLA, 2008, 4:57-60.
[26] Hamada A, Nishi N.Development of a cloud-top height estimation method by geostationary satellite-split-window measurements trained with CloudSat data[J]. Journal of Applied Meteorology and Climatology, 2010, 49(9):2 035-2 049.
[27] Li J, Menzel W P, Schreiner A J.Variational retrieval of cloud parameters from GOES sounder longwave cloudy radiance measurements[J]. Journal of Applied Meteorology, 2001, 40(3):312-330.
[28] Bankert R L, Mitrescu C, Miller S D, et al.Comparison of GOES cloud classification algorithms employing explicit and implicit physics[J]. Journal of Applied Meteorology and Climatology, 2009, 48(7):1 411-1 421.
[29] Chen Yingying.Experimental Research of the Retrieval of Cloud Microphysical Parameters by FY-2C Geostationary Satellite Data[D]. Nanjing: Nanjing University of Information Science and Technology, 2007.
[陈英英. 利用FY-2C静止卫星资料反演云微物理参数的试验研究[D].南京:南京信息工程大学,2007.]
[30] Zhou Yuquan, Chen Yingying, Li Juan, et al.Retrieval and preliminary test of cloud physical parameters from combination of FY-2C/D geostationary satellite data and other observation data[J]. Meteorological Monthly, 2008,34(12):27-35.
[周毓荃,陈英英,李娟,等. 用FY-2C/D卫星等综合观测资料反演云物理特性产品及检验[J]. 气象, 2008,34(12):27-35.]
[31] Zhou Feifei, Zhou Yuquan, Wang Jun, et al.Relationship of cloud-top heights retrieval from combination of FY-2C/D geostationary satellite data and other observation data and radar-retrieved echo tops[J]. Meteorological Monthly, 2010, 36(4):43-50.
[周非非,周毓荃,王俊,等. FY-2卫星反演的云顶高度与多普勒雷达回波顶高的关系初探[J]. 气象,2010, 36(4):43-50.]
[32] Zhou Qing, Zhao Fengsheng, Gao Wenhua.Retrieval of cloud radiative properties from FY-2C satellite data[J].Chinese Journal of Atmospheric Sciences, 2010, 34(4):827-842.
[周青,赵凤生,高文华. 利用FY-2C卫星数据反演云辐射特性[J]. 大气科学,2010, 34(4):827-842.]
[33] Luo Y, Zhang R, Wang H.Comparing occurrences and vertical structures of hydrometeors between eastern China and the Indian monsoon region using CloudSat and CALIPSO data[J]. Journal of Climate, 2009, 22(4):1 052-1 064.
[34] Wang Shengjie, He Wenying, Chen Hongbin,et al.Statistics of cloud height over the Tibetan Plateau and its surrounding region derived from the CloudSat data[J]. Plateau Meteorology, 2010, 29(1):1-9.
[王胜杰,何文英,陈洪滨,等. 利用CloudSat资料分析青藏高原、高原南坡及南亚季风区云高度的统计特征量[J]. 高原气象, 2010, 29(1):1-9.]
[35] Wang Shuaihui, Han Zhigang, Yao Zhigang.Comparison of cloud amounts from ISCCP and CloudSat over China and its neighborhood[J]. Chinese Journal of Atmospheric Sciences, 2010, 34(4):767-779.
[王帅辉,韩志刚,姚志刚. 基于CloudSat和ISCCP资料的中国及周边地区云量分布的对比分析[J]. 大气科学, 2010, 34(4):767-779.]
[36] Wang Shuaihui, Han Zhigang, Yao Zhigang, et al.An analysis of cloud types and macroscopic characteristics over China and its neighborhood based on the CloudSat data[J]. Acta Meteorologica Sinica, 2011, 69(5):883-899.
[王帅辉,韩志刚,姚志刚,等. 基于CloudSat资料的中国及周边地区各类云的宏观特征分析[J]. 气象学报, 2011, 69(5):883-899.]
[37] Yan Wei, Ren Jianqi, Lu Wen, et al.Cloud phase discrimination technology based on spaceborne millimeter wave radar and lidar data[J]. Journal of Infrared Millimeter Waves, 2011, 30(1):68-73.
[严卫,任建奇,陆文,等. 联合星载毫米波雷达和激光雷达资料的云相态识别技术[J]. 红外与毫米波学报, 2011, 30(1):68-73.]
[38] Zhou Yuquan, Zhao Shuhui.CloudSat satellite and its application in weather and cloud observation[J]. Journal of Nanjing Institute of Meteorology, 2008, 31(5):603-614.
[周毓荃, 赵姝慧. CloudSat卫星及其在天气和云观测分析中的应用[J]. 南京气象学院学报, 2008, 31(5):603-614.]
[39] Mace G G, Wrenn F J.Evaluation of the hydrometeor layers in the east and west Pacific within ISCCP cloud-top pressure-optical depth bins using merged CloudSat and CALIPSO data[J]. Journal of Climite, 2013,26(23):9 429-9 444.
[40] Steiner M, Yuter S E.Climatological characterization of three dimensional storm structure from operational radar and rain gaugedata[J]. Journal of Applied Meteorology, 1995, 34(9):1 978-2 007.
[41] Zhong Lingzhi, Liu Liping, Gu Songshan.A algorithm identifying convective and strariform in mixed precipitation and its application to estimating precipitation[J]. Plateau Meteorology, 2007, 26(3):593-602.
[仲凌志,刘黎平,顾松山. 层状云和对流云的雷达识别及在估测雨量中的应用[J]. 高原气象,2007, 26(3):593-602.]
[42] Haper W G.Examples of cloud detection with 8.6-millimetreradar (radar resolution capability for cloud detection)[J]. Meteorology Magazine, 1966, 95:106-112.
[43] Hobbs P V, Funk N T, Weiss R, et al.Evaluation of a 35-GHz radar for cloud physics research[J]. Journal of Atmospheric and Oceanic Technology, 1985, 2(1):35-48.
[44] Clothiaux E E, Miller M A, Albrecht B A, et al.An evaluation of a 94-GHz radar for remote sensing of cloud properties[J]. Journal of Atmospheric and Oceanic Technology, 1995, 12(2):201-229.
[45] Wang Z, Sassen K.Cloud type and microphysical property retrieval using multiple remote sensors[J]. Journal of Applied Meteorology, 2001, 40(10):1 665-1 682.
[46] Atlas D.The estimation of cloud parameters by radar[J]. Journal of Agricultural Meteorology, 1954, 11(4):309-317.
[47] Sauvageot H, Omar J.Radar reflectivity of cumulus clouds[J]. Journal of Atmospheric and Oceanic Technology, 1987, 4(2):264-272.
[48] Lü Daren, Wang Pucai, Qiu Jinhuan, et al.An overview of research progress of atmosphere remote sensing and meteorology in China[J]. Chinese Journal of Atmospheric Sciences, 2003, 27(4):552-566.
[吕达仁,王普才,邱金桓,等. 大气遥感与卫星气象学研究的进展与回顾[J]. 大气科学, 2003, 27(4):552-566.]
[49] Gao Taichang, Liu Lei, Zhao Shijun, et al.The actuality and progress of whole sky cloud sounding techniques[J]. Journal of Applied Meteorological Science, 2010, 21(1):101-109.
[高太长,刘磊,赵世军,等. 全天空测云技术现状及进展[J]. 应用气象学报, 2010, 21(1):101-109.]
[50] Sun Xuejin, Gao Taichang, Zhai Dongli, et al.Whole sky infrared cloud measuring system based on the uncooled infrared focal plane array[J]. Infrared and Laser Engineering, 2008, 37(5):761-764.
[孙学金, 高太长,翟东力,等. 基于非制冷红外焦平面阵列的全天空红外测云系统[J]. 红外与激光工程, 2008, 37(5):761-764.]
[51] Huang Jianping, He Min, Yan Hongru, et al.A study of liquid water path and precipitable water vapor in Lanzhou area using ground-based microwave radiometer[J]. Chinese Journal of Atmospheric Sciences, 2010,34(3):548-558.
[黄建平,何敏,阎虹如,等. 利用地基微波辐射计反演兰州地区液态云水路径和可降水量的初步研究[J]. 大气科学,2012, 34(3):548-558.]
[52] Smagorinsky J.On the dynamical prediction of large-scale condensation by numerical methods[C]//Physics of Precipitation: Proceedings of the Cloud Physics Conference, Woods Hole, Massachusetts, June 3-5, 1959. American Geophysical Union, 1960: 71-78.
[53] Sundqvist H.A parameterization scheme for non-convective condensation including prediction of cloud water content[J]. Quarterly Journal of the Royal Meteorology Society, 1978, 104(441):677-690.
[54] Slingo J M.A cloud parameterization scheme derived from GATE data for use with a numerical model[J]. Quarterly Journal of the Royal Meteorology Society, 1980, 106(450):747-770.
[55] Tiedtke M.Representation of clouds in large-scale models[J]. Monthly Weather Review, 1993, 121(11):3 040-3 061.
[56] Walcek C J.Cloud cover and its relationship to relative humidity during a springtime midlatitude cyclone[J]. Monthly Weather Review, 1994, 122(6):1 021-1 035.
[57] Norquist D C.Cloud predictions diagnosed from mesoscale weather model forecasts[J]. Monthly Weather Review, 1999, 127(10):2 465-2 480.
[58] Norquist D C.Cloud predictions diagnosed from global weather model forecasts[J]. Monthly Weather Review, 2000, 128(10):3 538-3 555.
[59] Fogt R L, Bromwich D H.Atmosphere moisture and cloud cover characteristics forecast by AMPS[J]. Monthly Weather Review, 2008, 23(5):914-930.
[60] Qian Zheng’an, Liu Ming, Yi Yuhong.Comparison test of parameterization schemes for cloud cover over Asia and the effect of cloud cover[J]. Acta Meteorologica Sinica, 1992, 50(1):50-59.
[钱正安,刘明,衣育红. 亚洲地区云量参数化的对比试验及云的影响[J]. 气象学报, 1992, 50(1):50-59.]
[61] Qian Yun,Qian Yongfu. Study of cloudiness parameterization scheme in regional climate model[J]. Journal of Tropical Meteorology, 1994, 10(4):342-348.
[钱云,钱永甫. 区域气候模式中云量参数化方案的研究[J]. 热带气象学报, 1994, 10(4):342-348.]
[62] Wang Bizheng.Remarks about the prognostic schemes for non-convective clouds in general circulation model[J].Chinese Journal of Atmospheric Sciences,1999,23(2):205-213.
[王必正. 大气环流模式中非对流云的预报方法[J]. 大气科学, 1999, 23(2):205-213.]
[63] Tian Guangyuan, Tian Pengbo, Chen Gang, et al.Static analysis of discrimination on clouds in Shenyang area with depression of dew point[J]. Journal of Anhui Agriculture Science, 2009, 37(33): 16 459-16 461.
[田广元,田鹏波,陈刚,等. 利用温度露点差判别沈阳地区云体的统计分析[J]. 安徽农业科学, 2009, 37(33): 16 459-16 461.]
[64] Wu Jianxun, Yang Hailong, Li Zhenfeng.Research on cloud cover diagnosis methods based on WRF model[C]//Proceedings of 29th Chinese Meteorological Society Annual lonference. Beijing: Chinese Meteorological Society,2012.
[仵建勋,杨海龙,李振峰. 基于WRF模式的云量诊断方法研究[C]//第29届中国气象学会年会论文集.北京:中国气象学会,2012.]
[65] Cai Miao.Cloud Water Resources and Precipitation Efficiency Evaluation over China[D]. Beijing: Chinese Academy of Meteorological Sciences,2013.
[蔡淼. 中国空中云水资源和降水效率的评估研究[D].北京:中国气象科学研究院, 2013.]
[66] Xiong Qiufen, Hu Jianglin, Chen Yongyi.The study on forecast of cloud amount with SVM and ANN methods[J]. Journal of Tropical Meteorology, 2007, (3):255-260.
[熊秋芬,胡江林,陈永义. 天空云量预报及支持向量机和神经网络方法比较研究[J]. 热带气象学报, 2007, (3):255-260.]
[67] Weng F,Han Y, van Delst P, et al. JCSDA Community Radiative Transfer Model (CRTM)[C]//Proceedings of 14th International ATOVS Study Conference. 2005: 217-222.
[68] Saunders R W, English S, Rayer P, et al.RTTOV-7: A atellite radiance simulator for the new millennium[C]//Proceedings of ITSC-XII. Lorne, Australia, 2002: 28.
[69] Saunders R, Francis P, Hilton F, et al.Status of RTTOV-7 and plans for RTTOV-8[C]//Proceedings of the XIIIth International TOVS Stidy Conference. St. Adele, Canada,2003: 29.
[70] Saunders R, English S, Francis P, et al.RTTOV-8 the latest update to the RTTOV model[C]//Proceedings of XIV th International TOVS Study Conference. Beijing, 2005: 25-31.
[71] Xu Jianmin, Liu Jian, et al.Application of Multi-Source Satellite Remote Sensing Data to Heavy Rainfall Monitoring[M]. Beijing: China Meteorological Press, 2013:129-146.
[许健民,刘健,等. 多源卫星资料在中国暴雨监测中的应用[M].北京:气象出版社,2013:129-146.]
[72] Saunders R, Brunel P.RTTOV-7-Technical Report[R]. NWP-SAF Document, 2002.
[73] Hocking J, Saunders R, Rayer P, et al.RTTOV development status[C]//18th International TOVS Study Conference. Toulouse, France, 2012.
[74] Ma Gang,Fang Zongyi, Zhang Fengying. The impact of cloud parameters on the simulated errors in RTTOV5[J]. Journal of Applied Meteorological Science, 2001, 12(4):385-392.
[马刚,方宗义,张凤英. 云参数对RTTOV5模式模拟误差的影响分析[J]. 应用气象学报,2001, 12(4):385-392.]
[75] Qi Chengli, Dong Chaohua, Zhang Wenjian, et al.Experiments with atmospheric temperature profile retrieval from FY-3A IRAS soundings[J]. Journal of Applied Meteorological Science, 2005,16(5):576-582.
[漆成莉,董超华,张文健,等. FY-3A气象卫星红外分光计温度廓线模拟反演试验[J]. 应用气象学报,2005,16(5):576-582.]
[76] Ma Gang, Qiu Chongjian, Li Guangqing, et al.Study of simulation on radiance from infrared and water vapor channel of FY-2B by a fast forward model-RTTOV7[J]. Journal of Infrared Millimeter Waves, 2005,24(5):37-40.
[马刚,邱崇践,黎光清,等. 利用RTTOV7快速辐射传输模式模拟风云二号红外和水汽成像通道辐射率的研究[J]. 红外与毫米波学报,2005,24(5):37-40.]
[77] Zhang Xinghai, Duan Yihong.Simulation of brightness temperature in infrared channel of FY-2F and bias analysis[J]. Meteorological Monthly, 2014, 40(9):1 066-1 075.
[张兴海,端义宏. FY-2F红外亮温资料模拟与偏差分析[J]. 气象,2014,40(9):1 066-1 075.]
[78] Ding Weiyu.Simulation of FY-2 satellite TBB brightness temperature base on grapes mesoscale model[C]//Proceedings of 28th Chinese Meteorological Society Annual Conference. Beijing: Chinese Meteorological Society, 2011.
[丁伟钰. 基于Grapes 中尺度模式的 FY-2卫星TBB亮温数值模拟[C]//中国气象学会. 第 28 届中国气象学会年会论文集.北京:中国气象学会, 2011.]
[79] Hamill T M, Nehrkorn T.A short-term cloud forecast scheme using cross correlations[J]. Weather and Forecasting, 1993,8(4):401-411.
[80] Yin Jinfang, Wang Donghai, Zhai Guoqing.A study of characteristics of the cloud microphysical parameterization schemes in mesoscale models and its applicability to China[J]. Advances in Earth Science, 2014,29(2):238-249.
[尹金方,王东海,翟国庆. 区域中尺度模式云微物理参数化方案特征及其在中国的适用[J]. 地球科学进展,2014,29(2):238-249.]
[81] Zapotocny J.USAF Data Assimilation Activities[R]. Halethorpe, Maryland: JCSDA 7th Workshop on Satellite Data Assimilation, 2009.
[82] Golding B.Nimrod: A system for generating automated very short range forecasts[J]. Meteorological Application, 1998, 5(1):1-16.
[83] Xue M, Wang D H, Gao J D, et al.The Advanced Regional Prediction System (ARPS), storm-scale numerical weather prediction and data assimilation[J]. Meteorology and Atmosphere Physics, 2003, 82(1):139-170.
[84] Mc Ginley J A. The Local Analysis and Prediction System[R].12th Conference on Weather Analysis and Forecasting, Monterey, CA, American Meteorological Society, 1989: 15-20.
[85] Benjamin S G, Dévényi D, Weygandt S S, et al.An hourly assimilation-forecast cycle: The RUC[J]. Monthly Weather Review, 2004, 132(2): 495-518.
[86] VanWijingaarden F, Kaufmann M, Ronn A, et al. Support of the air force weather agency’s Global Theater Weather Analysis and Prediction System (GTWAPS) and Cloud Depiction Forecast System-II (CDFS-II): A current status report[C]//20th Conference on Weather Analysis and Forecasting/16th Conference on Numerical Weather Prediction, 2004.
[87] Auligne T, Lorenc A, Michel Y, et al.Toward a new cloud analysis and prediction system[J]. Bulletin of the American Meteorological Society, 2011,92(2):207-210.
[88] McGinley J A, Albers S C, Stamus P A. Validation of a composite convective index as defined by a real-time local analysis system[J]. Weather and Forecasting, 1991, 6(3): 337-356.
[89] Albers S C.The LAPS wind analysis[J]. Weather and Forecasting, 1995, 10(2):342-352.
[90] Albers S C, McGinley J A, Birkenheuer D L, et al. The Local Analysis and Prediction System (LAPS): Analyses of clouds, precipitation, and temperature[J]. Weather and Forecasting, 1996, 11(3): 273-287.
[91] Birkenheuer D.The effect of using digital satellite imagery in the LAPS moisture analysis[J]. Weather and Forecasting, 1999, 14(5):782-788.
[92] Xie Y, Koch S, McGinley J, et al. A space-time multiscale analysis system: A sequential variational analysis approach[J]. Monthly Weather Review, 2011, 139(4):1 224-1 240.
[93] Liu Ruixia, Chen Hongbin, Shi Chunxiang, et al.The application of multi-source data to three-dimensional cloud amount analysis in LAPS[J]. Journal of Applied Meteorological Science, 2011,22(1):123-128.
[刘瑞霞,陈洪滨,师春香,等.多源观测数据在LAPS三维云量场分析中的应用[J].应用气象学报,2011,22(1):123-128.]
[94] Qu Youming, Lu Weisong, Cai Ronghui, et al.Design and experiment of GRAPES-Meso cloud analysis system[J]. Meteorological Monthly, 2012,36(10):37-45.
[屈右铭,陆维松,蔡荣辉,等. GRAPES-Meso云分析系统的设计与试验[J]. 气象,2012,36(10):37-45.]
[95] Pan Liujie, Zhang Hongfang, Wang Jianpeng.Progress on verification methods of numerical weather prediction[J]. Advances in Earth Science, 2014,29(3):327-335.
[潘留杰,张宏芳,王建鹏. 数值天气预报检验方法研究进展[J]. 地球科学进展,2014,29(3):327-335.]
[1] 刘磊,翁陈思,李书磊,胡帅,叶进,窦芳丽,商建. 太赫兹波被动遥感冰云研究现状及进展[J]. 地球科学进展, 2020, 35(12): 1211-1221.
[2] WangJingfeng,刘元波,张珂. 最大熵增地表蒸散模型:原理及应用综述[J]. 地球科学进展, 2019, 34(6): 596-605.
[3] 范峥,李宏,刘向文,徐芳华. 基于局地集合变换卡尔曼滤波的全球海洋资料同化系统设计及算法加速[J]. 地球科学进展, 2019, 34(5): 531-539.
[4] 孙小荣,张书毕,吴继忠,郑南山. 基于 SNRGPS-IR技术机理分析[J]. 地球科学进展, 2019, 34(2): 156-163.
[5] 窦芳丽,陆其峰,郭杨. 全天候卫星微波观测资料变分同化研究进展[J]. 地球科学进展, 2019, 34(11): 1120-1130.
[6] 郭恺. 基于局部层析的 TTI各向异性参数初始建模方法研究[J]. 地球科学进展, 2019, 34(10): 1060-1068.
[7] 冯旭亮. 空间域密度界面反演方法及其进展[J]. 地球科学进展, 2019, 34(1): 57-71.
[8] 王世红, 赵一丁, 尹训强, 乔方利. 全球海洋再分析产品的研究现状[J]. 地球科学进展, 2018, 33(8): 794-807.
[9] 李爱农, 边金虎, 尹高飞, 靳华安, 赵伟, 张正健, 南希, 雷光斌. 山地典型生态参量遥感反演建模及其时空表征能力研究[J]. 地球科学进展, 2018, 33(2): 141-151.
[10] 居为民, 方红亮, 田向军, 江飞, 占文凤, 刘洋, 王正兴, 何剑锋, 王绍强, 彭书时, 张永光, 周艳莲, 贾炳浩, 杨东旭, 符瑜, 李荣, 柳竟先, 王海鲲, 李贵才, 陈卓奇. 基于多源卫星遥感的高分辨率全球碳同化系统研究[J]. 地球科学进展, 2016, 31(11): 1105-1110.
[11] 于文涛, 李静, 柳钦火, 曾也鲁, 尹高飞, 赵静, 徐保东. 中国地表覆盖异质性参数提取与分析[J]. 地球科学进展, 2016, 31(10): 1067-1077.
[12] 王辉, 万莉颖, 秦英豪, 王毅, 杨学联, 刘洋, 邢建勇, 陈莉, 王彰贵, 仉天宇, 刘桂梅, 杨清华, 吴湘玉, 刘钦燕, 王东晓. 中国全球业务化海洋学预报系统的发展和应用[J]. 地球科学进展, 2016, 31(10): 1090-1104.
[13] 郭瑞芳, 刘元波. 多传感器联合反演高分辨率降水方法综述[J]. 地球科学进展, 2015, 30(8): 891-903.
[14] 尹剑, 占车生, 顾洪亮, 王飞宇. 基于水文模型的蒸散发数据同化实验研究[J]. 地球科学进展, 2014, 29(9): 1075-1084.
[15] 李大治, 晋锐, 车涛, 高莹, 耶楠, 王树果. 联合机载PLMR微波辐射计和MODIS产品反演黑河中游张掖绿洲土壤水分研究 *[J]. 地球科学进展, 2014, 29(2): 295-305.
阅读次数
全文


摘要