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    Cellular Statistical Models of Broken Cloud Fields. Part III: Markovian Properties 

    Source: Journal of the Atmospheric Sciences:;2017:;Volume( 074 ):;issue: 009:;page 2921
    Author(s): Alexandrov, Mikhail D.;Marshak, Alexander
    Publisher: American Meteorological Society
    Abstract: AbstractIn the third part of the ?Cellular Statistical Models of Broken Cloud Fields? series the cloud statistics formalism developed in the first two parts is interpreted in terms of the theory of Markov processes. The ...
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    Cellular Statistical Models of Broken Cloud Fields. Part IV: Effects of Pixel Size on Idealized Satellite Observations 

    Source: Journal of the Atmospheric Sciences:;2019:;volume 076:;issue 005:;page 1329
    Author(s): Alexandrov, Mikhail D.; Marshak, Alexander
    Publisher: American Meteorological Society
    Abstract: AbstractIn the fourth part of our ?Cellular Statistical Models of Broken Cloud Fields? series we use the binary Markov processes framework for quantitative investigation of the effects of low resolution of idealized satellite ...
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    Cellular Statistical Models of Broken Cloud Fields. Part II: Comparison with a Dynamical Model and Statistics of Diverse Ensembles 

    Source: Journal of the Atmospheric Sciences:;2010:;Volume( 067 ):;issue: 007:;page 2152
    Author(s): Alexandrov, Mikhail D.; Ackerman, Andrew S.; Marshak, Alexander
    Publisher: American Meteorological Society
    Abstract: Cellular statistical models are designed to provide a simple two-parameter characterization of the structure of broken cloud fields described through distributions of cloud fraction and of chord lengths for clouds and clear ...
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    Cellular Statistical Models of Broken Cloud Fields. Part I: Theory 

    Source: Journal of the Atmospheric Sciences:;2010:;Volume( 067 ):;issue: 007:;page 2125
    Author(s): Alexandrov, Mikhail D.; Marshak, Alexander; Ackerman, Andrew S.
    Publisher: American Meteorological Society
    Abstract: A new analytical statistical model describing the structure of broken cloud fields is presented. It depends on two parameters (cell size and occupancy probability) and provides chord distributions of clouds and gaps between ...
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    Remote Sensing of Atmospheric Aerosols and Trace Gases by Means of Multifilter Rotating Shadowband Radiometer. Part II: Climatological Applications 

    Source: Journal of the Atmospheric Sciences:;2002:;Volume( 059 ):;issue: 003:;page 544
    Author(s): Alexandrov, Mikhail D.; Lacis, Andrew A.; Carlson, Barbara E.; Cairns, Brian
    Publisher: American Meteorological Society
    Abstract: Measurements from ground-based sun photometer networks can be used both to provide ground-truth validation of satellite aerosol retrievals and to produce a land-based aerosol climatology that is complementary to satellite ...
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    Remote Sensing of Atmospheric Aerosols and Trace Gases by Means of Multifilter Rotating Shadowband Radiometer. Part I: Retrieval Algorithm 

    Source: Journal of the Atmospheric Sciences:;2002:;Volume( 059 ):;issue: 003:;page 524
    Author(s): Alexandrov, Mikhail D.; Lacis, Andrew A.; Carlson, Barbara E.; Cairns, Brian
    Publisher: American Meteorological Society
    Abstract: A retrieval algorithm for processing multifilter rotating shadowband radiometer (MFRSR) data from clear and partially cloudy days is described and validated. This method, while complementary to the Langley approach, uses ...
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    New Statistical Model for Variability of Aerosol Optical Thickness: Theory and Application to MODIS Data over Ocean 

    Source: Journal of the Atmospheric Sciences:;2015:;Volume( 073 ):;issue: 002:;page 821
    Author(s): Alexandrov, Mikhail D.; Geogdzhayev, Igor V.; Tsigaridis, Kostas; Marshak, Alexander; Levy, Robert; Cairns, Brian
    Publisher: American Meteorological Society
    Abstract: novel model for the variability in aerosol optical thickness (AOT) is presented. This model is based on the consideration of AOT fields as realizations of a stochastic process that is the exponent of an underlying Gaussian ...
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    Scaling Properties of Aerosol Optical Thickness Retrieved from Ground-Based Measurements 

    Source: Journal of the Atmospheric Sciences:;2004:;Volume( 061 ):;issue: 009:;page 1024
    Author(s): Alexandrov, Mikhail D.; Marshak, Alexander; Cairns, Brian; Lacis, Andrew A.; Carlson, Barbara E.
    Publisher: American Meteorological Society
    Abstract: Statistical scale-by-scale analysis, for the first time, has been applied to the aerosol optical thickness (AOT) retrieved from the Multi-Filter Rotating Shadowband Radiometer (MFRSR) network. The MFRSR data were collected ...
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    DSpace software copyright © 2002-2015  DuraSpace
    نرم افزار کتابخانه دیجیتال "دی اسپیس" فارسی شده توسط یابش برای کتابخانه های ایرانی | تماس با یابش
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    DSpace software copyright © 2002-2015  DuraSpace
    نرم افزار کتابخانه دیجیتال "دی اسپیس" فارسی شده توسط یابش برای کتابخانه های ایرانی | تماس با یابش
    yabeshDSpacePersian