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    Results of a Randomized Hail Suppression Experiment in Northeast Colorado. Part IV: Analysis of Radar Data for Seeding Effect and Correlation with Hailfall

    Source: Journal of Applied Meteorology:;1979:;volume( 018 ):;issue: 012::page 1569
    Author:
    Foote, G. Brant
    ,
    Rinehart, Ronald E.
    ,
    Crow, Edwin L.
    DOI: 10.1175/1520-0450(1979)018<1569:ROARHS>2.0.CO;2
    Publisher: American Meteorological Society
    Abstract: Radar data collected during the seeding experiment of the National Hail Research Experiment are used in a search for possible effects of seeding. Two types of variables, denoted by P and Q, are defined as daily integrals of reflectivity and areas of reflectivity above a given threshold. These and other radar variables are examined for correlation with hailfall at the ground and for seeding effect. Though several variables are closely associated with the occurrence of hail in the network, according to the present sample, none is highly correlated with the amount of hail. A method for measuring hailfall by radar recently used in Switzerland with apparently good results was not successful when applied to the Colorado area. Ten radar variables were tested for seeding effect by comparing their values on seed and control days. Both the Student's t-test and the Wilcoxon-Mann-Whitney test were employed and gave comparable results. No variables tested showed a difference between seed and control days that was significant at the 10% level. An examination of regressions developed between two adjacent areas (one of which was expected to be much more strongly affected by seeding than the other) also failed to detect a statistically significant difference between seed and control days.
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      Results of a Randomized Hail Suppression Experiment in Northeast Colorado. Part IV: Analysis of Radar Data for Seeding Effect and Correlation with Hailfall

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    http://yetl.yabesh.ir/yetl1/handle/yetl/4233345
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    contributor authorFoote, G. Brant
    contributor authorRinehart, Ronald E.
    contributor authorCrow, Edwin L.
    date accessioned2017-06-09T17:40:16Z
    date available2017-06-09T17:40:16Z
    date copyright1979/12/01
    date issued1979
    identifier issn0021-8952
    identifier otherams-9815.pdf
    identifier urihttp://onlinelibrary.yabesh.ir/handle/yetl/4233345
    description abstractRadar data collected during the seeding experiment of the National Hail Research Experiment are used in a search for possible effects of seeding. Two types of variables, denoted by P and Q, are defined as daily integrals of reflectivity and areas of reflectivity above a given threshold. These and other radar variables are examined for correlation with hailfall at the ground and for seeding effect. Though several variables are closely associated with the occurrence of hail in the network, according to the present sample, none is highly correlated with the amount of hail. A method for measuring hailfall by radar recently used in Switzerland with apparently good results was not successful when applied to the Colorado area. Ten radar variables were tested for seeding effect by comparing their values on seed and control days. Both the Student's t-test and the Wilcoxon-Mann-Whitney test were employed and gave comparable results. No variables tested showed a difference between seed and control days that was significant at the 10% level. An examination of regressions developed between two adjacent areas (one of which was expected to be much more strongly affected by seeding than the other) also failed to detect a statistically significant difference between seed and control days.
    publisherAmerican Meteorological Society
    titleResults of a Randomized Hail Suppression Experiment in Northeast Colorado. Part IV: Analysis of Radar Data for Seeding Effect and Correlation with Hailfall
    typeJournal Paper
    journal volume18
    journal issue12
    journal titleJournal of Applied Meteorology
    identifier doi10.1175/1520-0450(1979)018<1569:ROARHS>2.0.CO;2
    journal fristpage1569
    journal lastpage1582
    treeJournal of Applied Meteorology:;1979:;volume( 018 ):;issue: 012
    contenttypeFulltext
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