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contributor authorHughes, Lawrence A.
contributor authorSangster, Wayne E.
date accessioned2017-06-09T16:02:34Z
date available2017-06-09T16:02:34Z
date copyright1979/09/01
date issued1979
identifier issn0027-0644
identifier otherams-59526.pdf
identifier urihttp://onlinelibrary.yabesh.ir/handle/yetl/4200094
description abstractUsing screening regression procedures, an attempt has been made to standardize probability of precipitation Brier scores for difficulty. Climatological factors affecting the difficulty of forecasting used are: precipitation frequency, time persistence and small amount frequency. Standardizing equations were derived for three-month seasons from seven years of data. Four-term regression equations were developed for each season and lead time. Local forecaster improvement over guidance scores varied inversely as the Model Output Statistics (MOS) scores, indicating that poor machine forecasts are easier to improve upon than good machine forecasts.
publisherAmerican Meteorological Society
titlePrecipitation Probability-Comparing Offices for Skill
typeJournal Paper
journal volume107
journal issue9
journal titleMonthly Weather Review
identifier doi10.1175/1520-0493(1979)107<1128:PPOFS>2.0.CO;2
journal fristpage1128
journal lastpage1132
treeMonthly Weather Review:;1979:;volume( 107 ):;issue: 009
contenttypeFulltext


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