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dc.contributor.authorMyrick, David T.
dc.contributor.authorHorel, John D.
dc.contributor.authorLazarus, Steven M.
dc.date.accessioned2017-10-17T14:08:59Z
dc.date.available2017-10-17T14:08:59Z
dc.date.issued2005-04-01
dc.identifier.citationMyrick, D. T., Horel, J. D., & Lazarus, S. M. (2005). Local adjustment of the background error correlation for surface analyses over complex terrain. Weather and Forecasting, 20(2), 149-160.en_US
dc.identifier.urihttp://hdl.handle.net/11141/2013
dc.descriptionError analysis, Interpolation, Matrix algebra, Radiation, Temperature, Weather forecastingen_US
dc.description.abstractThe terrain between grid points is used to modify locally the background error correlation matrix in an objective analysis system. This modification helps to reduce the influence across mountain barriers of corrections to the background field that are derived from surface observations. This change to the background error correlation matrix is tested using an analytic case of surface temperature that encapsulates the significant features of nocturnal radiation inversions in mountain basins, which can be difficult to analyze because of locally sharp gradients in temperature. Bratseth successive corrections, optimal interpolation, and three-dimensional variational approaches are shown to yield exactly the same surface temperature analysis. Adding the intervening terrain term to the Bratseth approach led to solutions that match more closely the specified analytic solution. In addition, the convergence of the Bratseth solutions to the best linear unbiased estimation of the analytic solution is faster. The intervening terrain term was evaluated in objective analyses over the western United States derived from a modified version of the Advanced Regional Prediction System Data Assimilation System. Local adjustment of the background error correlation matrix led to improved surface temperature analyses by limiting the influence of observations in mountain valleys that may differ from the weather conditions present in adjacent valleys. © 2005 American Meteorological Society.en_US
dc.language.isoen_USen_US
dc.rights© Copyright 2005. American Meteorological Society (AMS). Permission to use figures, tables, and brief excerpts from this work in scientific and educational works is hereby granted provided that the source is acknowledged. Any use of material in this work that is determined to be “fair use” under Section 107 of the U.S. Copyright Act 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 (http://www.copyright.com). Questions about permission to use materials for which AMS holds the copyright can also be directed to the AMS Permissions Officer at permissions@ametsoc.org. Additional details are provided in the AMS Copyright Policy statement, available on the AMS websiteen_US
dc.rights.urihttp://www.ametsoc.org/CopyrightInformationen_US
dc.titleLocal adjustment of the background error correlation for surface analyses over complex terrainen_US
dc.typeArticleen_US
dc.identifier.doi10.1175/WAF847.1


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