Application Potential of Four Nontraditional Similarity Metrics in Hydrometeorology

Mo, Ruping; Ye, Chengzhi; Whitfield, Paul H.

doi:https://open-science.canada.ca/handle/123456789/1301

Application Potential of Four Nontraditional Similarity Metrics in Hydrometeorology

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dc.contributor.author: Mo, Ruping; Ye, Chengzhi; Whitfield, Paul H.
dc.date.accepted: 2014-04-21
dc.date.accessioned: 2023-11-17T20:56:15Z
dc.date.available: 2023-11-17T20:56:15Z
dc.date.issued: 2014-10-01
dc.date.submitted: 2013-08-15
dc.description.abstract - en: This paper presents a review and assessment of four nontraditional similarity metrics that can be applied to hydrological and meteorological data. These metrics are 1) the uncentered correlation coefficient, 2) the Hodgkin–Richards index, 3) the Petke index, and 4) the Wang–Bovik index. The first metric has been widely used in hydrometeorology, and the other three have been proposed in other disciplines for similarity analysis. It is demonstrated that these similarity metrics, in their original formulations, either do not actually have the purported advantage over the traditional Pearson correlation coefficient or are not suitable for some hydrometeorological applications. They are reformulated in this study to address these deficiencies. The resulting modified metrics are unitless, bounded, and proportional to the Pearson correlation coefficient, and three of them have the confirmed advantage of explicitly penalizing for differences in the mean and/or in the variance. Two application examples are used to demonstrate the applicability of these similarity metrics in hydrometeorology. A metavalidation model and a graphical tool (Taylor diagram) are used to evaluate the performances of these similarity metrics. In a case study of analog analysis, the Wang–Bovik index stands out as the best metric for simulation of the human perception of similarity between two-dimensional patterns, whereas the modified Petke index and the traditional root-mean-square distance may perform slightly better than the others in the regions with a very large difference between the variances.
dc.description.fosrcfull - en: Copyright [2014] American Meteorological Society (AMS). For permission to reuse any portion of this Work, please contact permissions@ametsoc.org. Any use of material in this Work that is determined to be “fair use” under Section 107 of the U.S. Copyright Act (17 U.S. Code § 107) or that satisfies the conditions specified in Section 108 of the U.S. Copyright Act (17 USC § 108) does not require the AMS’s permission. Republication, systematic reproduction, posting in electronic form, such as on a website or in a searchable database, or other uses of this material, except as exempted by the above statement, requires written permission or a license from the AMS. All AMS journals and monograph publications are registered with the Copyright Clearance Center (https://www.copyright.com). Additional details are provided in the AMS Copyright Policy statement, available on the AMS website (https://www.ametsoc.org/PUBSCopyrightPolicy)
dc.description.fosrcfull-fosrctranslation - fr: Droit d'auteur [2014] American Meteorological Society (AMS). Pour obtenir l'autorisation de réutiliser toute partie de cette œuvre, veuillez contacter <a href = "mailto: permissions@ametsoc.org">permissions@ametsoc.org</a>. Toute utilisation d'un élément de cette œuvre considérée comme une "utilisation équitable" par l'article 107 de la loi américaine sur le droit d'auteur (U.S. Copyright Act, 17 U.S. Code § 107) ou satisfaisant aux conditions énoncées à l'article 108 de la loi américaine sur le droit d'auteur (U.S. Copyright Act, 17 U.S. Code § 108) ne requiert pas l'autorisation de l'AMS. La republication, la reproduction systématique, l'affichage sous forme électronique, par exemple sur un site web ou dans une base de données interrogeable, ou toute autre utilisation de ce matériel, à l'exception de ce qui est exempté par la déclaration ci-dessus, nécessite une autorisation écrite ou une licence de la part de l'AMS. Toutes les revues et monographies de l'AMS sont enregistrées auprès du Copyright Clearance Center (<a href="https://www.copyright.com">https://www.copyright.com</a>). Des détails supplémentaires sont prévu dans la déclaration de politique de droit d'auteur de l'AMS, disponible sur le site web de l'AMS (<a href="https://www.ametsoc.org/PUBSCopyrightPolicy">https://www.ametsoc.org/PUBSCopyrightPolicy</a>)
dc.identifier.doi: https://doi.org/10.1175/JHM-D-13-0140.1
dc.identifier.issn: 1525-755X; 1525-7541
dc.identifier.uri: https://open-science.canada.ca/handle/123456789/1301
dc.language.iso: en
dc.publisher: American Meteorological Society
dc.rights.openaccesslevel - en: Green
dc.rights.openaccesslevel - fr: Vert
dc.subject - en: Nature and environment; Science and technology; Climate
dc.subject - fr: Nature et environnement; Sciences et technologie; Climat
dc.subject.en - en: Nature and environment; Science and technology; Climate
dc.subject.fr - fr: Nature et environnement; Sciences et technologie; Climat
dc.title - en: Application Potential of Four Nontraditional Similarity Metrics in Hydrometeorology
dc.type - en: Article
dc.type - fr: Article
local.article.journalissue: 5
local.article.journaltitle: Journal of Hydrometeorology
local.article.journalvolume: 15
local.pagination: 1862–1880
local.peerreview - en: Yes
local.peerreview - fr: Oui
local.requestdoi: No

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