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    Deep Learning–Based Summertime Turbulence Intensity Estimation Using Satellite Observations 

    Source: Journal of Atmospheric and Oceanic Technology:;2023:;volume( 040 ):;issue: 011:;page 1433
    Author(s): Lee, Yoonjin; Kim, Soo-Hyun; Noh, Yoo-Jeong; Kim, Jung-Hoon
    Publisher: American Meteorological Society
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    Cloud-Base Height Estimation from VIIRS. Part I: Operational Algorithm Validation against CloudSat 

    Source: Journal of Atmospheric and Oceanic Technology:;2017:;volume( 034 ):;issue: 003:;page 567
    Author(s): Seaman, Curtis J.; Noh, Yoo-Jeong; Miller, Steven D.; Heidinger, Andrew K.; Lindsey, Daniel T.
    Publisher: American Meteorological Society
    Abstract: he operational VIIRS cloud-base height (CBH) product from the Suomi?National Polar-Orbiting Partnership (SNPP) satellite is compared against observations of CBH from the cloud profiling radar (CPR) on board CloudSat. Because ...
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    In Situ Aircraft Measurements of the Vertical Distribution of Liquid and Ice Water Content in Midlatitude Mixed-Phase Clouds 

    Source: Journal of Applied Meteorology and Climatology:;2012:;volume( 052 ):;issue: 001:;page 269
    Author(s): Noh, Yoo-Jeong; Seaman, Curtis J.; Vonder Haar, Thomas H.; Liu, Guosheng
    Publisher: American Meteorological Society
    Abstract: he vertical distribution of liquid and ice water content and their partitioning is studied using 34 cases of in situ measured microphysical properties in midlatitude mixed-phase clouds, with liquid water path ranging from ...
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    Superresolution of GOES-16 ABI Bands to a Common High Resolution with a Convolutional Neural Network 

    Source: Artificial Intelligence for the Earth Systems:;2024:;volume( 003 ):;issue: 002
    Author(s): White, Charles H.; Ebert-Uphoff, Imme; Haynes, John M.; Noh, Yoo-Jeong
    Publisher: American Meteorological Society
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    Low Cloud Detection in Multilayer Scenes using Satellite Imagery with Machine Learning Methods 

    Source: Journal of Atmospheric and Oceanic Technology:;2021:;volume( ):;issue:
    Author(s): Haynes, John M.;Noh, Yoo-Jeong;Miller, Steven D.;Haynes, Katherine D.;Ebert-Uphoff, Imme;Heidinger, Andrew
    Publisher: American Meteorological Society
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    Cloud-Base Height Estimation from VIIRS. Part II: A Statistical Algorithm Based on A-Train Satellite Data 

    Source: Journal of Atmospheric and Oceanic Technology:;2017:;volume( 034 ):;issue: 003:;page 585
    Author(s): Noh, Yoo-Jeong; Forsythe, John M.; Miller, Steven D.; Seaman, Curtis J.; Li, Yue; Heidinger, Andrew K.; Lindsey, Daniel T.; Rogers, Matthew A.; Partain, Philip T.
    Publisher: American Meteorological Society
    Abstract: nowledge of cloud-base height (CBH) is important to describe cloud radiative feedbacks in numerical models and is of practical relevance to the aviation community. Whereas satellite remote sensing with passive radiometers ...
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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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