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    An Extended Procedure for Implementing the Relative Operating Characteristic Graphical Method

    Source: Journal of Applied Meteorology and Climatology:;2006:;volume( 045 ):;issue: 009::page 1215
    Author:
    Semazzi, Fredrick H. M.
    ,
    Mera, Roberto J.
    DOI: 10.1175/JAM2397.1
    Publisher: American Meteorological Society
    Abstract: The functional relationship between the relative operating characteristic (ROC) and the economic value (EV) graphical methods have been exploited to develop a hybrid procedure called the extended ROC (EROC) method. The EROC retains the appealing simplicity of the traditional ROC method and the ability of the EV method to provide evaluation of the performance of an ensemble climate prediction system (EPS) for a hypothetical end user defined by the cost?loss ratio (? = C/L). An inequality defining the lower and upper theoretical bounds of ? has been derived. Outside these limits, the EPS yields no added benefits for end user ? relative to the use of climatological persistence as an alternative prediction system. In the traditional ROC graphical method, the ROC skill (ROCS) is often expressed in terms of the area between the ROC graph and the diagonal baseline passing through the origin with slope m = 1. Thus, ROCS = 2A ? 1, where A is the area under the ROC graph. In the proposed EROC approach, a more general procedure is recommended based on the construction of user-specific baselines that do not necessarily pass through the origin and, in general, have slope m ? 1. The skill of a particular EPS computed from the EROC method is proportional to the corresponding estimated value based on the EV graphical method. Therefore, the EROC geometry conveys the same basic information as the EV method. The Semazzi?Mera skill score (SMSS) is proposed as a convenient and compact way of expressing the combined verification based on the ROC and EV methods. The ROCS estimate is a special case of the SMSS. The near-horizontal trail-like geometry sometimes exhibited by EV graphs is also examined. It is shown to occur when either the hit-rate or false-alarm term dominates in the formula for EV, unlike the more typical situation in which both terms are comparable in magnitude.
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      An Extended Procedure for Implementing the Relative Operating Characteristic Graphical Method

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    http://yetl.yabesh.ir/yetl1/handle/yetl/4216543
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    • Journal of Applied Meteorology and Climatology

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    contributor authorSemazzi, Fredrick H. M.
    contributor authorMera, Roberto J.
    date accessioned2017-06-09T16:47:58Z
    date available2017-06-09T16:47:58Z
    date copyright2006/09/01
    date issued2006
    identifier issn1558-8424
    identifier otherams-74330.pdf
    identifier urihttp://onlinelibrary.yabesh.ir/handle/yetl/4216543
    description abstractThe functional relationship between the relative operating characteristic (ROC) and the economic value (EV) graphical methods have been exploited to develop a hybrid procedure called the extended ROC (EROC) method. The EROC retains the appealing simplicity of the traditional ROC method and the ability of the EV method to provide evaluation of the performance of an ensemble climate prediction system (EPS) for a hypothetical end user defined by the cost?loss ratio (? = C/L). An inequality defining the lower and upper theoretical bounds of ? has been derived. Outside these limits, the EPS yields no added benefits for end user ? relative to the use of climatological persistence as an alternative prediction system. In the traditional ROC graphical method, the ROC skill (ROCS) is often expressed in terms of the area between the ROC graph and the diagonal baseline passing through the origin with slope m = 1. Thus, ROCS = 2A ? 1, where A is the area under the ROC graph. In the proposed EROC approach, a more general procedure is recommended based on the construction of user-specific baselines that do not necessarily pass through the origin and, in general, have slope m ? 1. The skill of a particular EPS computed from the EROC method is proportional to the corresponding estimated value based on the EV graphical method. Therefore, the EROC geometry conveys the same basic information as the EV method. The Semazzi?Mera skill score (SMSS) is proposed as a convenient and compact way of expressing the combined verification based on the ROC and EV methods. The ROCS estimate is a special case of the SMSS. The near-horizontal trail-like geometry sometimes exhibited by EV graphs is also examined. It is shown to occur when either the hit-rate or false-alarm term dominates in the formula for EV, unlike the more typical situation in which both terms are comparable in magnitude.
    publisherAmerican Meteorological Society
    titleAn Extended Procedure for Implementing the Relative Operating Characteristic Graphical Method
    typeJournal Paper
    journal volume45
    journal issue9
    journal titleJournal of Applied Meteorology and Climatology
    identifier doi10.1175/JAM2397.1
    journal fristpage1215
    journal lastpage1223
    treeJournal of Applied Meteorology and Climatology:;2006:;volume( 045 ):;issue: 009
    contenttypeFulltext
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    DSpace software copyright © 2002-2015  DuraSpace
    نرم افزار کتابخانه دیجیتال "دی اسپیس" فارسی شده توسط یابش برای کتابخانه های ایرانی | تماس با یابش
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