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    Using Synthetic Brightness Temperatures to Address Uncertainties in Cloud-Top-Height Verification

    Source: Journal of Applied Meteorology and Climatology:;2016:;volume( 056 ):;issue: 002::page 283
    Author:
    Nachamkin, Jason E.
    ,
    Jin, Yi
    ,
    Grasso, Lewis D.
    ,
    Richardson, Kim
    DOI: 10.1175/JAMC-D-16-0240.1
    Publisher: American Meteorological Society
    Abstract: loud-top verification is inherently difficult because of large uncertainties in the estimates of observed cloud-top height. Misplacement of cloud top associated with transmittance through optically thin cirrus is one of the most common problems. Forward radiative models permit a direct comparison of predicted and observed radiance, but uncertainties in the vertical position of clouds remain. In this work, synthetic brightness temperatures are compared with forecast cloud-top heights so as to investigate potential errors and develop filters to remove optically thin ice clouds. Results from a statistical analysis reveal that up to 50% of the clouds with brightness temperatures as high as 280 K are actually optically thin cirrus. The filters successfully removed most of the thin ice clouds, allowing for the diagnosis of very specific errors. The results indicate a strong negative bias in midtropospheric cloud cover in the model, as well as a lack of land-based convective cumuliform clouds. The model also predicted an area of persistent stratus over the North Atlantic Ocean that was not apparent in the observations. In contrast, high cloud tops associated with deep convection were well simulated, as were mesoscale areas of enhanced trade cumulus coverage in the Sargasso Sea.
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      Using Synthetic Brightness Temperatures to Address Uncertainties in Cloud-Top-Height Verification

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    http://yetl.yabesh.ir/yetl1/handle/yetl/4217753
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    • Journal of Applied Meteorology and Climatology

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    contributor authorNachamkin, Jason E.
    contributor authorJin, Yi
    contributor authorGrasso, Lewis D.
    contributor authorRichardson, Kim
    date accessioned2017-06-09T16:51:36Z
    date available2017-06-09T16:51:36Z
    date copyright2017/02/01
    date issued2016
    identifier issn1558-8424
    identifier otherams-75419.pdf
    identifier urihttp://onlinelibrary.yabesh.ir/handle/yetl/4217753
    description abstractloud-top verification is inherently difficult because of large uncertainties in the estimates of observed cloud-top height. Misplacement of cloud top associated with transmittance through optically thin cirrus is one of the most common problems. Forward radiative models permit a direct comparison of predicted and observed radiance, but uncertainties in the vertical position of clouds remain. In this work, synthetic brightness temperatures are compared with forecast cloud-top heights so as to investigate potential errors and develop filters to remove optically thin ice clouds. Results from a statistical analysis reveal that up to 50% of the clouds with brightness temperatures as high as 280 K are actually optically thin cirrus. The filters successfully removed most of the thin ice clouds, allowing for the diagnosis of very specific errors. The results indicate a strong negative bias in midtropospheric cloud cover in the model, as well as a lack of land-based convective cumuliform clouds. The model also predicted an area of persistent stratus over the North Atlantic Ocean that was not apparent in the observations. In contrast, high cloud tops associated with deep convection were well simulated, as were mesoscale areas of enhanced trade cumulus coverage in the Sargasso Sea.
    publisherAmerican Meteorological Society
    titleUsing Synthetic Brightness Temperatures to Address Uncertainties in Cloud-Top-Height Verification
    typeJournal Paper
    journal volume56
    journal issue2
    journal titleJournal of Applied Meteorology and Climatology
    identifier doi10.1175/JAMC-D-16-0240.1
    journal fristpage283
    journal lastpage296
    treeJournal of Applied Meteorology and Climatology:;2016:;volume( 056 ):;issue: 002
    contenttypeFulltext
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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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