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    Relating Convective and Stratiform Rain to Latent Heating

    Source: Journal of Climate:;2009:;volume( 023 ):;issue: 007::page 1874
    Author:
    Tao, Wei-Kuo
    ,
    Lang, Stephen
    ,
    Zeng, Xiping
    ,
    Shige, Shoichi
    ,
    Takayabu, Yukari
    DOI: 10.1175/2009JCLI3278.1
    Publisher: American Meteorological Society
    Abstract: The relationship among surface rainfall, its intensity, and its associated stratiform amount is established by examining observed precipitation data from the Tropical Rainfall Measuring Mission (TRMM) Precipitation Radar (PR). The results show that for moderate?high stratiform fractions, rain probabilities are strongly skewed toward light rain intensities. For convective-type rain, the peak probability of occurrence shifts to higher intensities but is still significantly skewed toward weaker rain rates. The main differences between the distributions for oceanic and continental rain are for heavily convective rain. The peak occurrence, as well as the tail of the distribution containing the extreme events, is shifted to higher intensities for continental rain. For rainy areas sampled at 0.5° horizontal resolution, the occurrence of conditional rain rates over 100 mm day?1 is significantly higher over land. Distributions of rain intensity versus stratiform fraction for simulated precipitation data obtained from cloud-resolving model (CRM) simulations are quite similar to those from the satellite, providing a basis for mapping simulated cloud quantities to the satellite observations. An improved convective?stratiform heating (CSH) algorithm is developed based on two sources of information: gridded rainfall quantities (i.e., the conditional intensity and the stratiform fraction) observed from the TRMM PR and synthetic cloud process data (i.e., latent heating, eddy heat flux convergence, and radiative heating/cooling) obtained from CRM simulations of convective cloud systems. The new CSH algorithm-derived heating has a noticeably different heating structure over both ocean and land regions compared to the previous CSH algorithm. Major differences between the new and old algorithms include a significant increase in the amount of low- and midlevel heating, a downward emphasis in the level of maximum cloud heating by about 1 km, and a larger variance between land and ocean in the new CSH algorithm.
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      Relating Convective and Stratiform Rain to Latent Heating

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    http://yetl.yabesh.ir/yetl1/handle/yetl/4210578
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    contributor authorTao, Wei-Kuo
    contributor authorLang, Stephen
    contributor authorZeng, Xiping
    contributor authorShige, Shoichi
    contributor authorTakayabu, Yukari
    date accessioned2017-06-09T16:29:58Z
    date available2017-06-09T16:29:58Z
    date copyright2010/04/01
    date issued2009
    identifier issn0894-8755
    identifier otherams-68962.pdf
    identifier urihttp://onlinelibrary.yabesh.ir/handle/yetl/4210578
    description abstractThe relationship among surface rainfall, its intensity, and its associated stratiform amount is established by examining observed precipitation data from the Tropical Rainfall Measuring Mission (TRMM) Precipitation Radar (PR). The results show that for moderate?high stratiform fractions, rain probabilities are strongly skewed toward light rain intensities. For convective-type rain, the peak probability of occurrence shifts to higher intensities but is still significantly skewed toward weaker rain rates. The main differences between the distributions for oceanic and continental rain are for heavily convective rain. The peak occurrence, as well as the tail of the distribution containing the extreme events, is shifted to higher intensities for continental rain. For rainy areas sampled at 0.5° horizontal resolution, the occurrence of conditional rain rates over 100 mm day?1 is significantly higher over land. Distributions of rain intensity versus stratiform fraction for simulated precipitation data obtained from cloud-resolving model (CRM) simulations are quite similar to those from the satellite, providing a basis for mapping simulated cloud quantities to the satellite observations. An improved convective?stratiform heating (CSH) algorithm is developed based on two sources of information: gridded rainfall quantities (i.e., the conditional intensity and the stratiform fraction) observed from the TRMM PR and synthetic cloud process data (i.e., latent heating, eddy heat flux convergence, and radiative heating/cooling) obtained from CRM simulations of convective cloud systems. The new CSH algorithm-derived heating has a noticeably different heating structure over both ocean and land regions compared to the previous CSH algorithm. Major differences between the new and old algorithms include a significant increase in the amount of low- and midlevel heating, a downward emphasis in the level of maximum cloud heating by about 1 km, and a larger variance between land and ocean in the new CSH algorithm.
    publisherAmerican Meteorological Society
    titleRelating Convective and Stratiform Rain to Latent Heating
    typeJournal Paper
    journal volume23
    journal issue7
    journal titleJournal of Climate
    identifier doi10.1175/2009JCLI3278.1
    journal fristpage1874
    journal lastpage1893
    treeJournal of Climate:;2009:;volume( 023 ):;issue: 007
    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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