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dc.contributor.advisorDara Entekhabi.en_US
dc.contributor.authorLundgren, Elizabeth Whitinen_US
dc.contributor.otherMassachusetts Institute of Technology. Dept. of Civil and Environmental Engineering.en_US
dc.date.accessioned2010-03-24T20:34:48Z
dc.date.available2010-03-24T20:34:48Z
dc.date.copyright2009en_US
dc.date.issued2009en_US
dc.identifier.urihttp://hdl.handle.net/1721.1/52760
dc.descriptionThesis (S.M.)--Massachusetts Institute of Technology, Dept. of Civil and Environmental Engineering, 2009.en_US
dc.descriptionThis electronic version was submitted by the student author. The certified thesis is available in the Institute Archives and Special Collections.en_US
dc.descriptionIncludes bibliographical references (p. 100-105).en_US
dc.description.abstractThe winter mode of the Arctic Oscillation (AO) is the dominating influence on extratropical winter climate variability in the Northern Hemisphere (NH) . The phase of the Arctic Oscillation is characterized by trends in temperature, precipitation, air pressure, and storm tracks over the North Atlantic region, and affects northeastern North America, Europe, and parts of the Mediterranean. While predictability of the AO phase would benefit socioeconomic sectors in these densely populated regions by enabling greater foreknowledge of energy demands, precipitation intensity, and storm frequency, it is currently not particularly skillful. Previous studies have demonstrated a link between autumn snow over Eurasia and the AO mode and have proposed a dynamical pathway describing the mechanism that links them. The goal of this thesis is to present new evidence of a significant relationship between anomalous snow cover and the winter AO phase. Observational evidence of a significant link between extremely high (low) October snow extent anomalies over Eurasia and the negative (positive) AO winter phase is presented. Significant positive (negative) vertical wave activity flux (WAF) anomalies in the stratosphere during December and January are shown to occur following autumns with significantly high (low) snow extent, supporting the dynamical pathway proposed in previous studies. It is concluded that a significant mean snow extent anomaly over Eurasia in October could serve as a predictor for the AO phase of the following winter.en_US
dc.description.statementofresponsibilityby Elizabeth Whitin Lundgren.en_US
dc.format.extent105 p.en_US
dc.language.isoengen_US
dc.publisherMassachusetts Institute of Technologyen_US
dc.rightsM.I.T. theses are protected by copyright. They may be viewed from this source for any purpose, but reproduction or distribution in any format is prohibited without written permission. See provided URL for inquiries about permission.en_US
dc.rights.urihttp://dspace.mit.edu/handle/1721.1/7582en_US
dc.subjectCivil and Environmental Engineering.en_US
dc.titleAnomalous Eurasian snow extent and the wintertime AOen_US
dc.typeThesisen_US
dc.description.degreeS.M.en_US
dc.contributor.departmentMassachusetts Institute of Technology. Department of Civil and Environmental Engineering
dc.identifier.oclc502014378en_US


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