YaBeSH Engineering and Technology Library

    • Journals
    • PaperQuest
    • YSE Standards
    • YaBeSH
    • Login
    View Item 
    •   YE&T Library
    • AMS
    • Journal of Applied Meteorology and Climatology
    • View Item
    •   YE&T Library
    • AMS
    • Journal of Applied Meteorology and Climatology
    • View Item
    • All Fields
    • Source Title
    • Year
    • Publisher
    • Title
    • Subject
    • Author
    • DOI
    • ISBN
    Advanced Search
    JavaScript is disabled for your browser. Some features of this site may not work without it.

    Archive

    Precipitation Clouds Delineation Scheme in Tropical Cyclones and Its Validation Using Precipitation and Cloud Parameter Datasets from TRMM

    Source: Journal of Applied Meteorology and Climatology:;2018:;volume 057:;issue 004::page 821
    Author:
    Chen, FengJiao
    ,
    Sheng, ShaoXue
    ,
    Bao, ZhengQing
    ,
    Wen, HuaYang
    ,
    Hua, LianSheng
    ,
    Paul, Ngarukiyimana Jean
    ,
    Fu, YunFei
    DOI: 10.1175/JAMC-D-17-0157.1
    Publisher: American Meteorological Society
    Abstract: AbstractUtilizing the cloud parameters derived from the Tropical Rainfall Measuring Mission (TRMM) Visible and Infrared Scanner and the near-surface rainfall detected by the TRMM Precipitation Radar, the differences of cloud parameters for precipitating clouds (PCs) and nonprecipitating clouds (NPCs) are examined in tropical cyclones (TCs) during daytime from June to September 1998?2010. A precipitation delineation scheme that is based on cloud parameter thresholds is proposed and validated using the independent TC datasets in 2011 and observational datasets from Terra/MODIS. Statistical analysis of these results shows that the differences in the effective radius of cloud particles Re are small for PCs and NPCs, while thick clouds with large cloud optical thickness (COT) and liquid water path (LWP) can be considered as candidates for PCs. The probability of precipitation increases rapidly as the LWP and COT increase, reaching ~90%, whereas the probability of precipitation reaches a peak value of only 30% as Re increases. The combined threshold of a brightness temperature at 10.8 ?m (BT4) of 270 K and an LWP of 750 g m?2 shows the best performance for precipitation discrimination at the pixel levels, with the probability of detection (POD) reaching 68.2% and false-alarm ratio (FAR) reaching 31.54%. From MODIS observations, the composite scheme utilizing BT4 and LWP also proves to be a good index, with POD reaching 77.39% and FAR reaching 24.2%. The results from this study demonstrate a potential application of real-time precipitation monitoring in TCs utilizing cloud parameters from visible and infrared measurements on board geostationary weather satellites.
    • Download: (2.887Mb)
    • Show Full MetaData Hide Full MetaData
    • Item Order
    • Go To Publisher
    • Price: 5000 Rial
    • Statistics

      Precipitation Clouds Delineation Scheme in Tropical Cyclones and Its Validation Using Precipitation and Cloud Parameter Datasets from TRMM

    URI
    http://yetl.yabesh.ir/yetl1/handle/yetl/4261600
    Collections
    • Journal of Applied Meteorology and Climatology

    Show full item record

    contributor authorChen, FengJiao
    contributor authorSheng, ShaoXue
    contributor authorBao, ZhengQing
    contributor authorWen, HuaYang
    contributor authorHua, LianSheng
    contributor authorPaul, Ngarukiyimana Jean
    contributor authorFu, YunFei
    date accessioned2019-09-19T10:06:25Z
    date available2019-09-19T10:06:25Z
    date copyright1/25/2018 12:00:00 AM
    date issued2018
    identifier otherjamc-d-17-0157.1.pdf
    identifier urihttp://yetl.yabesh.ir/yetl1/handle/yetl/4261600
    description abstractAbstractUtilizing the cloud parameters derived from the Tropical Rainfall Measuring Mission (TRMM) Visible and Infrared Scanner and the near-surface rainfall detected by the TRMM Precipitation Radar, the differences of cloud parameters for precipitating clouds (PCs) and nonprecipitating clouds (NPCs) are examined in tropical cyclones (TCs) during daytime from June to September 1998?2010. A precipitation delineation scheme that is based on cloud parameter thresholds is proposed and validated using the independent TC datasets in 2011 and observational datasets from Terra/MODIS. Statistical analysis of these results shows that the differences in the effective radius of cloud particles Re are small for PCs and NPCs, while thick clouds with large cloud optical thickness (COT) and liquid water path (LWP) can be considered as candidates for PCs. The probability of precipitation increases rapidly as the LWP and COT increase, reaching ~90%, whereas the probability of precipitation reaches a peak value of only 30% as Re increases. The combined threshold of a brightness temperature at 10.8 ?m (BT4) of 270 K and an LWP of 750 g m?2 shows the best performance for precipitation discrimination at the pixel levels, with the probability of detection (POD) reaching 68.2% and false-alarm ratio (FAR) reaching 31.54%. From MODIS observations, the composite scheme utilizing BT4 and LWP also proves to be a good index, with POD reaching 77.39% and FAR reaching 24.2%. The results from this study demonstrate a potential application of real-time precipitation monitoring in TCs utilizing cloud parameters from visible and infrared measurements on board geostationary weather satellites.
    publisherAmerican Meteorological Society
    titlePrecipitation Clouds Delineation Scheme in Tropical Cyclones and Its Validation Using Precipitation and Cloud Parameter Datasets from TRMM
    typeJournal Paper
    journal volume57
    journal issue4
    journal titleJournal of Applied Meteorology and Climatology
    identifier doi10.1175/JAMC-D-17-0157.1
    journal fristpage821
    journal lastpage836
    treeJournal of Applied Meteorology and Climatology:;2018:;volume 057:;issue 004
    contenttypeFulltext
    DSpace software copyright © 2002-2015  DuraSpace
    نرم افزار کتابخانه دیجیتال "دی اسپیس" فارسی شده توسط یابش برای کتابخانه های ایرانی | تماس با یابش
    yabeshDSpacePersian
     
    DSpace software copyright © 2002-2015  DuraSpace
    نرم افزار کتابخانه دیجیتال "دی اسپیس" فارسی شده توسط یابش برای کتابخانه های ایرانی | تماس با یابش
    yabeshDSpacePersian