Classification and Conceptual Models for Heavy Snowfall Events over East Vancouver Island of British Columbia, Canada

Wu, Mingling R.; Snyder, Bradley J.; Mo, Ruping; Cannon, Alex J.; Joe, Paul I.

doi:https://open-science.canada.ca/handle/123456789/1302

Classification and Conceptual Models for Heavy Snowfall Events over East Vancouver Island of British Columbia, Canada

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dc.contributor.author: Wu, Mingling R.; Snyder, Bradley J.; Mo, Ruping; Cannon, Alex J.; Joe, Paul I.
dc.date.accepted: 2013-05-13
dc.date.accessioned: 2023-11-17T20:57:24Z
dc.date.available: 2023-11-17T20:57:24Z
dc.date.issued: 2013-10-01
dc.date.submitted: 2012-09-24
dc.description.abstract - en: The East Vancouver Island region on the west coast of Canada is prone to heavy snow in winter due to its unique geographical setting, which involves complicated interactions among the atmosphere, ocean, and local topography. The challenge for operational meteorologists is to distinguish a weather system that produces extreme snow amounts from one that produces modest amounts in this region. In this study, subjective, objective, and hybrid classification techniques are used to analyze the characteristics of 81 snowstorms observed in this region over a 10-yr period (2000–09). It is demonstrated that there are four principal weather patterns (occluded front, lee low, warm advection, and convective storm) conducive to heavy snow in East Vancouver Island. The occluded front pattern is the most ubiquitous for producing snow events, while the lee low pattern is the most extreme snow producer that poses the biggest forecast challenge. Based on the identified weather patterns and a further investigation of five key weather ingredients, four conceptual models are developed to illustrate the meteorological processes leading to significant snowfalls in East Vancouver Island. These conceptual models have the potential to help meteorologists better understand and identify weather systems that would produce heavy snowfalls in this region and, therefore, improve forecasting and warning performance.
dc.description.fosrcfull - en: Copyright [2013] 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 [2013] 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/WAF-D-12-00100.1
dc.identifier.issn: 1520-0434; 0882-8156
dc.identifier.uri: https://open-science.canada.ca/handle/123456789/1302
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: Classification and Conceptual Models for Heavy Snowfall Events over East Vancouver Island of British Columbia, Canada
dc.type - en: Article
dc.type - fr: Article
local.article.journalissue: 5
local.article.journaltitle: Weather and Forecasting
local.article.journalvolume: 28
local.pagination: 1219–1240
local.peerreview - en: Yes
local.peerreview - fr: Oui
local.requestdoi: No

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