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    The Prospect for Remote Sensing of Cirrus Clouds with a Submillimeter-Wave Spectrometer

    Source: Journal of Applied Meteorology:;1999:;volume( 038 ):;issue: 005::page 514
    Author:
    Evans, K. Franklin
    ,
    Evans, Aaron H.
    ,
    Nolt, Ira G.
    ,
    Marshall, B. Thomas
    DOI: 10.1175/1520-0450(1999)038<0514:TPFRSO>2.0.CO;2
    Publisher: American Meteorological Society
    Abstract: Given the substantial radiative effects of cirrus clouds and the need to validate cirrus cloud mass in climate models, it is important to measure the global distribution of cirrus properties with satellite remote sensing. Existing cirrus remote sensing techniques, such as solar reflectance methods, measure cirrus ice water path (IWP) rather indirectly and with limited accuracy. Submillimeter-wave radiometry is an independent method of cirrus remote sensing based on ice particles scattering the upwelling radiance emitted by the lower atmosphere. A new aircraft instrument, the Far Infrared Sensor for Cirrus (FIRSC), is described. The FIRSC employs a Fourier Transform Spectrometer (FTS), which measures the upwelling radiance across the whole submillimeter region (0.1?1.0-mm wavelength). This wide spectral coverage gives high sensitivity to most cirrus particle sizes and allows accurate determination of the characteristic particle size. Radiative transfer modeling is performed to analyze the capabilities of the submillimeter FTS technique. A linear inversion analysis is done to show that cirrus IWP, particle size, and upper-tropospheric temperature and water vapor may be accurately measured. A nonlinear statistical algorithm is developed using a database of 20?000 spectra simulated by randomly varying most relevant cirrus and atmospheric parameters. An empirical orthogonal function analysis reduces the 500-point spectrum (20?70 cm?1) to 15 ?pseudo-channels? that are then input to a neural network to retrieve cirrus IWP and median particle diameter. A Monte Carlo accuracy study is performed with simulated spectra having realistic noise. The retrieval errors are low for IWP (rms less than a factor of 1.5) and for particle sizes (rms less than 30%) for IWP greater than 5 g m?2 and a wide range of median particle sizes. This detailed modeling indicates that there is good potential to accurately measure cirrus properties with a submillimeter FTS.
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      The Prospect for Remote Sensing of Cirrus Clouds with a Submillimeter-Wave Spectrometer

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    https://yetl.yabesh.ir/yetl1/handle/yetl/4148074
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    contributor authorEvans, K. Franklin
    contributor authorEvans, Aaron H.
    contributor authorNolt, Ira G.
    contributor authorMarshall, B. Thomas
    date accessioned2017-06-09T14:06:56Z
    date available2017-06-09T14:06:56Z
    date copyright1999/05/01
    date issued1999
    identifier issn0894-8763
    identifier otherams-12705.pdf
    identifier urihttp://onlinelibrary.yabesh.ir/handle/yetl/4148074
    description abstractGiven the substantial radiative effects of cirrus clouds and the need to validate cirrus cloud mass in climate models, it is important to measure the global distribution of cirrus properties with satellite remote sensing. Existing cirrus remote sensing techniques, such as solar reflectance methods, measure cirrus ice water path (IWP) rather indirectly and with limited accuracy. Submillimeter-wave radiometry is an independent method of cirrus remote sensing based on ice particles scattering the upwelling radiance emitted by the lower atmosphere. A new aircraft instrument, the Far Infrared Sensor for Cirrus (FIRSC), is described. The FIRSC employs a Fourier Transform Spectrometer (FTS), which measures the upwelling radiance across the whole submillimeter region (0.1?1.0-mm wavelength). This wide spectral coverage gives high sensitivity to most cirrus particle sizes and allows accurate determination of the characteristic particle size. Radiative transfer modeling is performed to analyze the capabilities of the submillimeter FTS technique. A linear inversion analysis is done to show that cirrus IWP, particle size, and upper-tropospheric temperature and water vapor may be accurately measured. A nonlinear statistical algorithm is developed using a database of 20?000 spectra simulated by randomly varying most relevant cirrus and atmospheric parameters. An empirical orthogonal function analysis reduces the 500-point spectrum (20?70 cm?1) to 15 ?pseudo-channels? that are then input to a neural network to retrieve cirrus IWP and median particle diameter. A Monte Carlo accuracy study is performed with simulated spectra having realistic noise. The retrieval errors are low for IWP (rms less than a factor of 1.5) and for particle sizes (rms less than 30%) for IWP greater than 5 g m?2 and a wide range of median particle sizes. This detailed modeling indicates that there is good potential to accurately measure cirrus properties with a submillimeter FTS.
    publisherAmerican Meteorological Society
    titleThe Prospect for Remote Sensing of Cirrus Clouds with a Submillimeter-Wave Spectrometer
    typeJournal Paper
    journal volume38
    journal issue5
    journal titleJournal of Applied Meteorology
    identifier doi10.1175/1520-0450(1999)038<0514:TPFRSO>2.0.CO;2
    journal fristpage514
    journal lastpage525
    treeJournal of Applied Meteorology:;1999:;volume( 038 ):;issue: 005
    contenttypeFulltext
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    DSpace software copyright © 2002-2015  DuraSpace
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