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Spectral methods for limited area models

dc.contributor.authorFulton, Scott R., author
dc.contributor.authorSchubert, Wayne H., advisor
dc.contributor.authorTaylor, Gerald D., committee member
dc.contributor.authorKrueger, David A., committee member
dc.contributor.authorStevens, Duane E., committee member
dc.contributor.authorJohnson, Richard H. (Richard Harlan), committee member
dc.date.accessioned2016-12-19T17:41:17Z
dc.date.available2016-12-19T17:41:17Z
dc.date.issued1984
dc.description.abstractThis study investigates the usefulness of Chebyshev spectral methods in limited area atmospheric modeling. Basic concepts of spectral methods and properties of Chebyshev polynomials are reviewed. Chebyshev spectral methods are illustrated by applying them to the linear advection equation in one dimension. Numerical results demonstrate the high accuracy obtained compared to finite difference methods. The nonlinear shallow water equations on a bounded domain in two dimensions are then considered as a more realistic prototype model. Characteristic boundary conditions based on Reimann invariants are developed, and contrasted with wall conditions and boundary conditions based on the assumption of balanced flow. Chebyshev tau and collocation methods are developed for this model. Results from one-dimensional tests show the superiority of the characteristic conditions in most situations. Results from two-dimensional tests are also presented. Comparison of the tau and collocation methods shows that each has its own advantages and both are practical. Time differencing schemes for Chebyshev spectral methods are studied. The stability condition obtained with explicit time differencing, often thought to be "severe", is shown to be less severe than the corresponding condition for finite difference methods. Numerical results and asymptotic estimates show that time steps may in fact be limited by accuracy rather than stability, in which case simple explicit time differencing is practical and efficient. Two modified explicit schemes are reviewed, and implicit time differencing is also discussed. A Chebyshev spectral method is also used to solve the vertical structure problem associated with vertical normal mode transforms in a hydrostatic atmosphere. Numerical results demonstrate the accuracy of the method, and illustrate the aliasing which can occur unless the vertical levels at which data is supplied are carefully chosen. Vertical transforms of observed forcings of tropical wind and mass fields are presented. The results of this study indicate that Chebyshev spectral methods are a practical alternative to finite difference methods for limited area modeling, especially when high accuracy is desired. Spectral methods require less storage than finite difference methods, are more efficient when high enough accuracy is desired, and are at least as easy to program.
dc.description.sponsorshipSupported by the National Science Foundation - ATM-8207563.
dc.description.sponsorshipSupported by the Office of Naval Research - N00014-84-C-0591.
dc.description.sponsorshipAcknowledgment to the National Center for Atmospheric Research, sponsored by the National Science Foundation, for computer time.
dc.format.mediumdoctoral dissertations
dc.identifier.urihttp://hdl.handle.net/10217/178747
dc.languageEnglish
dc.language.isoeng
dc.publisherColorado State University. Libraries
dc.relationCatalog record number (MMS ID): 991006716349703361
dc.relationQC996.F85 1984
dc.relation.hasversionFulton, Scott R. and Schubert, Wayne H. Spectral methods for limited area models. Atmospheric science paper, no. 384. Colorado State University. Department of Atmospheric Science, 1984.
dc.relation.ispartof1980-1999
dc.rightsCopyright and other restrictions may apply. User is responsible for compliance with all applicable laws. For information about copyright law, please see https://libguides.colostate.edu/copyright.
dc.subject.lcshMeteorology -- Mathematical models
dc.subject.lcshNumerical weather forecasting
dc.subject.lcshChebyshev polynomials
dc.titleSpectral methods for limited area models
dc.typeText
dcterms.rights.dplaThis Item is protected by copyright and/or related rights (https://rightsstatements.org/vocab/InC/1.0/). You are free to use this Item in any way that is permitted by the copyright and related rights legislation that applies to your use. For other uses you need to obtain permission from the rights-holder(s).
thesis.degree.disciplineAtmospheric Science
thesis.degree.grantorColorado State University
thesis.degree.levelDoctoral
thesis.degree.nameDoctor of Philosophy (Ph.D.)

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