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Data assimilation and the adjoint method: an overview

dc.contributor.authorTaylor, Gerald D., author
dc.contributor.authorCooperative Institute for Research in the Atmosphere (Fort Collins, Colo.), publisher
dc.date.accessioned2022-08-02T20:42:54Z
dc.date.available2022-08-02T20:42:54Z
dc.date.issued1991-05
dc.descriptionMay 1991.
dc.description.abstractIn this note a general description of the application of the adjoint method for four dimensional data assimilation is given. The main focus of this discussion is that this method when applied to a discrete model is simply an application of the chair rule of multivariate calculus to compute the gradient of a real valued function of several variables. Several different time differencing schemes are considered, as well as, two examples of discrete models.
dc.description.sponsorshipResearch supported by U.S. Army Research Office under Grant no. DAAL 03-86-K-0175.
dc.format.mediumreports
dc.identifier.urihttps://hdl.handle.net/10217/235492
dc.languageEnglish
dc.language.isoeng
dc.publisherColorado State University. Libraries
dc.relationCatalog record number (MMS ID): 991017456509703361
dc.relationQC851.C47 no.22
dc.relation.ispartofPublications
dc.relation.ispartofCIRA paper, no. 22
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.subjectMeteorology -- Data processing
dc.subjectNumerical weather forecasting
dc.titleData assimilation and the adjoint method: an overview
dc.typeText

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