ENGLISH

STUDY ON CLOUD CLASSIFICATIONS BY USING AVHRR，GMS-5 AND TERRA/MODIS SATELLITE DATA

Source:

     SHI Chunxiang（师春香），ZHANG Wenjian（张文建），ZHANG Liyang（张里阳）and GUO Wei(郭伟)

        National Satellite Meteorological Center, Beijing 100081

        Received March 15, 2002; revised May 21, 2002

        ABSTRACT

        This paper presents the automated pixel scale neural network classification methods being developed at National Satellite Meteorological Center (NSMC) of China to classify clouds by using NOAA/AVHRR and GMS-5 satellite imageries. By using Terra satellite MODIS imageries, an automated pixel-scale threshold technique has been developed to detect and classify clouds. The study focuses on applications of these cloud classification techniques tothe Huaihe River and the Changjiang (Yangtze) River drainage basin. The different types of clouds show more clearly on this cloud classification image than single band image. The results of the cloud classifications are the basis of studying cloud amount, cloud top height and cloud top pressure. Cloud mask methods are widely used in SST, LST, and TPW retrieval schemes. Some case studies about cloud mask and cloud classification in satellite imageries, which are related with the study of Global Energy and Water Cycle Experiment (GEWEX) in the Huaihe River and the Changjiang River drainage basin are illustrated.

        Key words: cloud mask and classification, neural network, satellite imagery, MODIS data SIMU

        Editor-in-Chief: Zhou Xiuji (周秀骥)

        EDITORIAL COMMITTEE OF AMS

        Chairman

        Zhou Xiuji (周秀骥): CAMS

        ViceChairmen

        Ding Yihui (丁一汇): National Climate Center, Beijing 100081, China

        Ji Liren (纪立人)： IAP CAS

        Wang Shaowu (王绍武): DG PU Standing Members et al. 31 altogather.

        此外还聘请了一些国际知名的大气科学家为国外编委。

        Foreign Members

        Anthes, Richard A.: UCAR, Boulder, CO 80307 3000, USA

        Chameides, William L.: School of Earth and Atmospheric Sciences, Georgia Institute of Technology, Atlanta, GA 30332 0340, USA

        Lau, William K. M.: NASA, Goddard Space Flight Center, Mail Code 913, Greenbelt, MD 20771, USA

        Liu Shaw C.: Aeronomy Laboratory NOAA/ERL, 325 Broadway, Boulder, CO 80303 3328, USA

        Longhetto, A.: Consiglio Nazionale delle Ricerche Istituto di Cosmo Geofisica, 10133 Torino, Italy

        Serafin, Robert J.: NCAR, Boulder, CO80307-3000, USA

        Tanaka, M.: Upper NCAR,　Boulder, CO 803073000, USA Atmosphere Research Laboratory, Faculty of Science Tohoku University, Sendai, Japan

        Wang Bin: Department of Meteorology, University of Hawaii at Manoa, Honolulu, HI 96822 USA

        Wang Wei-Chyung: Atmospheric Sciences Research Center, State University of New York at Albany, 100 Fuller Road, Albany, NY 12205, USA

        Yasunari T.: Institute of Geoscience, University of Tsukuba, Ibaraki 305, Japan

        Zhang Da-Lin: Dept. of Meteorology 2423 computer& Space Science Bldg Univ. of Maryland College Park, Maryland, 20742-2425, USA

        According to the statistics of nearly thousand of articles published in the past volumes, the percentage of every division of atmospheric sciences can be listed as follows:

        Synoptic Meteorology， 27%

        Analysis of Weather systems，Atmospheric circulation, monsoon and LFO， Tropical meteorology， Typhoon ， Tibetan plateau & polar meteorology， Satellite & Radar meteorology

        Climatology，22%

        Climatological statistics， ENSO & Air-Sea Interation and Climatic Teleconnection， Physical climatology & climate modeling ， Climate change & historical climatology，

        Dynamics & Thermodynamics of the Atmosphere， 18%

        Thermodynamics of the Atmosphere，Dynamics of the Atmosphere，Atmospheric nonlinear dynamics， Atmospheric waves

        Atmospheric Physics，15%

        Atmospheric probing & Equipment， Boundary layer meteorology，Cloud & precipitation physics，Radiation，Atmospheric electricity

        Weather Forecasting & Modification，10%

        Atmospheric modeling，General method & application of NWP，Atmospheric experiment， Weather forecasting using synoptic method, & statistical forecasting， Weather modification

        Atmospheric Chemistry，5%

        Applied Meteorology，3%

        Agricultural meteorology， Marine meteorology

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