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    Probabilities of Daily Hail and Thunder Occurrences

    Source: Journal of Climate and Applied Meteorology:;1987:;Volume( 026 ):;Issue: 008::page 1014
    Author:
    Hey, Mervin H. F.
    ,
    Waylen, Peter R.
    DOI: 10.1175/1520-0450(1987)026<1014:PODHAT>2.0.CO;2
    Publisher: American Meteorological Society
    Abstract: The nonhomogeneous Poisson distribution is applied to the probabilities of the number and dates of days experiencing thunder and had in southern Saskatchewan, Canada. The seasonal nature of hail and thunder occurrence is adequately represented by the Gaussian distribution. Use of the resultant simple three-parameter model provides a theoretically sound and flexible technique by which accurate predictions of the probabilities of events in any time period of interest may be calculated without recourse to the reanalysis of the original data. The success of the methodology in modeling the event frequencies both over, and within, traditional monthly time periods and other arbitrarily selected periods reflect the general applicability of the technique.
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      Probabilities of Daily Hail and Thunder Occurrences

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    https://yetl.yabesh.ir/yetl1/handle/yetl/4146411
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    contributor authorHey, Mervin H. F.
    contributor authorWaylen, Peter R.
    date accessioned2017-06-09T14:01:53Z
    date available2017-06-09T14:01:53Z
    date copyright1987/08/01
    date issued1987
    identifier issn0733-3021
    identifier otherams-11208.pdf
    identifier urihttp://onlinelibrary.yabesh.ir/handle/yetl/4146411
    description abstractThe nonhomogeneous Poisson distribution is applied to the probabilities of the number and dates of days experiencing thunder and had in southern Saskatchewan, Canada. The seasonal nature of hail and thunder occurrence is adequately represented by the Gaussian distribution. Use of the resultant simple three-parameter model provides a theoretically sound and flexible technique by which accurate predictions of the probabilities of events in any time period of interest may be calculated without recourse to the reanalysis of the original data. The success of the methodology in modeling the event frequencies both over, and within, traditional monthly time periods and other arbitrarily selected periods reflect the general applicability of the technique.
    publisherAmerican Meteorological Society
    titleProbabilities of Daily Hail and Thunder Occurrences
    typeJournal Paper
    journal volume26
    journal issue8
    journal titleJournal of Climate and Applied Meteorology
    identifier doi10.1175/1520-0450(1987)026<1014:PODHAT>2.0.CO;2
    journal fristpage1014
    journal lastpage1020
    treeJournal of Climate and Applied Meteorology:;1987:;Volume( 026 ):;Issue: 008
    contenttypeFulltext
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    DSpace software copyright © 2002-2015  DuraSpace
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