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Wu Xiao, You Ran, Wang Minyan, et al. Cloud type identification based on macro and micro properties of clouds from MODIS. J Appl Meteor Sci, 2016, 27(2): 201-208. DOI: 10.11898/1001-7313.20160208.
Citation: Wu Xiao, You Ran, Wang Minyan, et al. Cloud type identification based on macro and micro properties of clouds from MODIS. J Appl Meteor Sci, 2016, 27(2): 201-208. DOI: 10.11898/1001-7313.20160208.
shu

Cloud Type Identification Based on Macro and Micro Properties of Clouds from MODIS

  • 1.

    Key Laboratory of Radiometric Calibration and Validation for Environmental Satellites, CMA, Beijing 100081

  • 2.

    National Satellite Meteorological Center, Beijing 100081

  • 3.

    National Meteorological Information Center, Beijing 100081

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    Abstract
  • Satellite cloud type product has been operationally processed in China National Satellite Meteorological Center (NSMC) for many years. But due to causes of instruments on board and methods used for cloud type identification, this product still needs improving. In 2011, American scientists proposed a new method to classify cloud types in NPOESS (national polar-orbiting operational environmental satellite system) cloud products algorithm theoretical basis documents. This method uses the satellite derived cloud optical thickness product, cloud effective radius product, cloud top height product, cloud phase product, a set of characteristic values of cloud optical thickness, cloud effective radius, cloud top height, and cloud phase for 6 cloud types to calculate distances between satellite data and characteristic parameters of 6 cloud types. Finally, a minimum distance is obtained, and the corresponding cloud type is derived.Using MODIS data, the minimum distance cloud type identification method is combined with multiple-threshold method, and cloud type identification experiments are carried out. By incorporating methods into software, and using cloud optical thickness product, cloud effective radius product, cloud top height product, cloud phase product, cloud top temperature product, and brightness temperature product of MODIS as inputs of the software, cloud type identification results are outputted for years of 2008 and 2013. Results are compared with ground cloud type observations, and two series are more than 60% consistent. Also, pictures combining satellite derived cloud types and ground hourly precipitation amount observations reflect that analyzed cumulonimbus and nimbostratus are reasonably in the zone of raining. Because the cloud optical thickness can largely reveal the water content in clouds and the vertical thickness of clouds, this cloud type identification method captures raining clouds effectively.
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  • Fig  1.   Sketch map of cloud type identification

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    Fig  2.   Classified cloud types of typhoon Qiangwei at 0505 UTC 29 Dec 2014

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    Fig  3.   MODIS optical thickness data of typhoon Qiangwei at 0505 UTC 29 Dec 2014

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    Fig  4.   Classified cloud types of Meiyu front for 0515-0520 UTC 27 Jun 2014

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    Fig  5.   The grayscale image of brightness temperature of MODIS channel 32 for 0450-0635 UTC 3 Jan 2013

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    Fig  6.   Classified cloud types for 0450-0635 UTC 3 Jan 2013

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    Fig  7.   Chart combined cloud types with 2 h precipitation (number, unit:mm) for 0455-0505 UTC 3 Aug 2012

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    Table  1   Macro and micro properties of 6 cloud types

    云类 云顶高度/km 云粒子有效半径/μm 云光学厚度 云相态
    平均 范围 平均 范围 平均 范围
    层积云/层云 1.3 0~2.5 13.5 2~25 5.5 1~10 水
    高层云/高积云 3.5 1.5~5.5 17 4~30 17 2~32 水/冰
    积云 3.3 0.2~6.5 27.5 5~50 26.5 3~50 水/冰
    积雨云 12 6~20 27.5 5~72 50 25~100 冰
    雨层云 8 4~11 17 5~50 50 25~100 水/冰
    卷云 9.5 6.5~15 65 10~120 3.5 0.01~8 冰
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    • Received : 2015-04-12
    • Accepted : 2015-10-19
    • Published : 2016-03-30
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