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dc.contributor.advisorKerry Andrew Emanuel.en_US
dc.contributor.authorCoblenz, Joshua Sen_US
dc.contributor.otherMassachusetts Institute of Technology. Dept. of Earth, Atmospheric, and Planetary Sciences.en_US
dc.date.accessioned2010-05-25T20:56:46Z
dc.date.available2010-05-25T20:56:46Z
dc.date.copyright2009en_US
dc.date.issued2009en_US
dc.identifier.urihttp://hdl.handle.net/1721.1/55167
dc.descriptionThesis (S.M.)--Massachusetts Institute of Technology, Dept. of Earth, Atmospheric, and Planetary Sciences, 2009.en_US
dc.descriptionCataloged from PDF version of thesis.en_US
dc.descriptionIncludes bibliographical references (p. 23).en_US
dc.description.abstractThis project studies the sensitivity of model output statistics (or MOS) in numerical weather prediction to lead times and parameters. In order to study MOS in an idealized setting, I use the simplified Lorenz system of differential equations as the physical model to explore the sensitivity of linear MOS in this non-linear system. MOS finds a statistical relationship between imperfect model variables and true variables using linear regression. The effect on the forecast error of lead time and parameter perturbation are investigated.en_US
dc.description.statementofresponsibilityby Joshua S. Coblenz.en_US
dc.format.extent26 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.subjectEarth, Atmospheric, and Planetary Sciences.en_US
dc.titleSensitivity of model output statistics on the Lorenz systemen_US
dc.typeThesisen_US
dc.description.degreeS.M.en_US
dc.contributor.departmentMassachusetts Institute of Technology. Department of Earth, Atmospheric, and Planetary Sciences
dc.identifier.oclc608065085en_US


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