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contributor authorVERNON, EDWARD M.
date accessioned2017-06-09T15:55:09Z
date available2017-06-09T15:55:09Z
date copyright1953/10/01
date issued1953
identifier issn0027-0644
identifier otherams-56703.pdf
identifier urihttp://onlinelibrary.yabesh.ir/handle/yetl/4196958
description abstractSkill scores for rating quantitative forecasts are proposed to take into account the deviations occurring between forecast and observed values. One score, the ?deviation? skill score, weights the forecasts linearly according to the deviation; a second score, the ?quadratic? skill score weights them according to the square of the deviation. These two scores are compared with the conventional skill score for two sets of forecasts, and for the same forecasts with bias introduced. It is concluded that use of either the deviation or the quadratic skill score is preferable to use of the conventional skill score in rating quantitative forecasts. Examples of the step-by-step computations of the two new scores are given.
publisherAmerican Meteorological Society
titleA NEW CONCEPT OF SKILL SCORE FOR RATING QUANTITATIVE FORECASTS
typeJournal Paper
journal volume81
journal issue10
journal titleMonthly Weather Review
identifier doi10.1175/1520-0493(1953)081<0326:ANCOSS>2.0.CO;2
journal fristpage326
journal lastpage329
treeMonthly Weather Review:;1953:;volume( 081 ):;issue: 010
contenttypeFulltext


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