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    Synthetic Generation of Tropical Rainfall Time Series Using an Event-Based Method

    Source: Journal of Hydrologic Engineering:;1997:;Volume ( 002 ):;issue: 002
    Author:
    Soon Keat Tan
    ,
    Sheau Yunn Sia
    DOI: 10.1061/(ASCE)1084-0699(1997)2:2(83)
    Publisher: American Society of Civil Engineers
    Abstract: An algorithm for simulating tropical rainfall using an event-based method has been developed. The simulation process uses a one-step Markov chain model. The driving mechanism of the model is based on the statistics derived from rainfall recorded using the event-based method of recording proposed by Tan and Chiew. These statistics are expressed in terms of a transition matrix that can be used to generate the next event after the occurrence of the first. The model was applied to rainfall recorded in Singapore. Despite the relatively sparse source data, the results show that the synthetic rainfall time series reproduces the essential characteristics of tropical rainfall in terms of mean and total rainfall, and the internal characteristics of tropical rainfalls. Furthermore, this methodology is capable of generating plausible estimates of extreme annual rainfall.
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      Synthetic Generation of Tropical Rainfall Time Series Using an Event-Based Method

    URI
    http://yetl.yabesh.ir/yetl1/handle/yetl/76807
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    contributor authorSoon Keat Tan
    contributor authorSheau Yunn Sia
    date accessioned2017-05-08T22:18:07Z
    date available2017-05-08T22:18:07Z
    date copyrightApril 1997
    date issued1997
    identifier other40155747.pdf
    identifier urihttp://yetl.yabesh.ir/yetl/handle/yetl/76807
    description abstractAn algorithm for simulating tropical rainfall using an event-based method has been developed. The simulation process uses a one-step Markov chain model. The driving mechanism of the model is based on the statistics derived from rainfall recorded using the event-based method of recording proposed by Tan and Chiew. These statistics are expressed in terms of a transition matrix that can be used to generate the next event after the occurrence of the first. The model was applied to rainfall recorded in Singapore. Despite the relatively sparse source data, the results show that the synthetic rainfall time series reproduces the essential characteristics of tropical rainfall in terms of mean and total rainfall, and the internal characteristics of tropical rainfalls. Furthermore, this methodology is capable of generating plausible estimates of extreme annual rainfall.
    publisherAmerican Society of Civil Engineers
    titleSynthetic Generation of Tropical Rainfall Time Series Using an Event-Based Method
    typeJournal Paper
    journal volume2
    journal issue2
    journal titleJournal of Hydrologic Engineering
    identifier doi10.1061/(ASCE)1084-0699(1997)2:2(83)
    treeJournal of Hydrologic Engineering:;1997:;Volume ( 002 ):;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
    yabeshDSpacePersian