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    Ground-Based, High-Resolution Measurements of the Spatial and Temporal Distribution of Rainfall

    Source: Journal of Climate and Applied Meteorology:;1987:;Volume( 026 ):;Issue: 011::page 1530
    Author:
    Hosking, J. G.
    ,
    Stow, C. D.
    DOI: 10.1175/1520-0450(1987)026<1530:GBHRMO>2.0.CO;2
    Publisher: American Meteorological Society
    Abstract: Preliminary data from ground-based measurements of rainfall using an optical disdrometer and high-resolution rain gage network are described. The recurrence of the rain period is shown to be non-Poisson with evidence of clustering, whereas a lognormal distribution is shown to be an approximate fit to the distribution of amount of rainfall in a rain period. About 40% of rain periods possess a total rainfall smaller than that resolvable by conventional recording rain gages; three-quarters of these were resolvable by the high-resolution rain gages used. Rapid fluctuations of rainfall intensity (?1 mm h?1 s?1) are evident in individual rainfall intensity records and the distribution of duration of rainfall above a specified threshold intensity is shown to be approximately lognormal; these observations are consistent with a lognormal distribution of precipitation region sizes. An empirical fit to the average fractional duration of rainfall is given, although the curve is generally a poor fit to fractional duration data for individual rain periods; periods of intense rainfall tend to be more singular than expected from the curve, and the maximum intensity reached in a rain period is shown to be independent of the period's duration. A method for estimating spatial sizes and shapes of precipitation regions using a high-resolution rain gage array is demonstrated.
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      Ground-Based, High-Resolution Measurements of the Spatial and Temporal Distribution of Rainfall

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    http://yetl.yabesh.ir/yetl1/handle/yetl/4146466
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    contributor authorHosking, J. G.
    contributor authorStow, C. D.
    date accessioned2017-06-09T14:02:03Z
    date available2017-06-09T14:02:03Z
    date copyright1987/11/01
    date issued1987
    identifier issn0733-3021
    identifier otherams-11258.pdf
    identifier urihttp://onlinelibrary.yabesh.ir/handle/yetl/4146466
    description abstractPreliminary data from ground-based measurements of rainfall using an optical disdrometer and high-resolution rain gage network are described. The recurrence of the rain period is shown to be non-Poisson with evidence of clustering, whereas a lognormal distribution is shown to be an approximate fit to the distribution of amount of rainfall in a rain period. About 40% of rain periods possess a total rainfall smaller than that resolvable by conventional recording rain gages; three-quarters of these were resolvable by the high-resolution rain gages used. Rapid fluctuations of rainfall intensity (?1 mm h?1 s?1) are evident in individual rainfall intensity records and the distribution of duration of rainfall above a specified threshold intensity is shown to be approximately lognormal; these observations are consistent with a lognormal distribution of precipitation region sizes. An empirical fit to the average fractional duration of rainfall is given, although the curve is generally a poor fit to fractional duration data for individual rain periods; periods of intense rainfall tend to be more singular than expected from the curve, and the maximum intensity reached in a rain period is shown to be independent of the period's duration. A method for estimating spatial sizes and shapes of precipitation regions using a high-resolution rain gage array is demonstrated.
    publisherAmerican Meteorological Society
    titleGround-Based, High-Resolution Measurements of the Spatial and Temporal Distribution of Rainfall
    typeJournal Paper
    journal volume26
    journal issue11
    journal titleJournal of Climate and Applied Meteorology
    identifier doi10.1175/1520-0450(1987)026<1530:GBHRMO>2.0.CO;2
    journal fristpage1530
    journal lastpage1539
    treeJournal of Climate and Applied Meteorology:;1987:;Volume( 026 ):;Issue: 011
    contenttypeFulltext
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