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dc.contributor.authorBlasing, T. J.*
dc.contributor.authorDuvick, D. N.*
dc.contributor.authorWest, D. C.*
dc.date.accessioned2012-12-12T21:38:13Z
dc.date.available2012-12-12T21:38:13Z
dc.date.issued1981
dc.identifier.citationBlasing, T.J., Duvick, D.N., West, D.C. 1981. Dendroclimatic calibration and verification using regionally averaged and single station precipitation data. Tree-Ring Bulletin 41:37-43.en_US
dc.identifier.issn0041-2198
dc.identifier.urihttp://hdl.handle.net/10150/261056
dc.description.abstractThe average ring-width index of two published chronologies from the eastern Tennessee climatic division was used as a single predictor variable in linear regression to reconstruct May June precipitation. Regression equations obtained using regionally averaged precipitation data from stations within the climatic division were compared with regressions obtained using single-station (Knoxville, Tennessee) data for comparable periods. The (regionally averaged) division data always provided the better calibration statistics for the regression equations. When the regressions calibrated using division data were verified with independent data for the climatic division and for Knoxville, the better results were always obtained for the division data. When regressions calibrated using single-station data were verified, the independent division data once again provided better results than the independent Knoxville data. Regionally averaged precipitation data also provided more satisfactory results than single- station data in a similar experiment for central Iowa, and probably provides better results in general for this type of dendroclimatic experiment.
dc.language.isoen_USen_US
dc.publisherTree-Ring Societyen_US
dc.relation.urlhttp://www.treeringsociety.orgen_US
dc.rightsCopyright © Tree-Ring Society. All rights reserved.en_US
dc.subjectDendrochronologyen_US
dc.subjectTree Ringsen_US
dc.subjectDendroclimatologyen_US
dc.subjectStatistical Analysisen_US
dc.titleDendroclimatic Calibration and Verification Using Regionally Averaged and Single Station Precipitation Dataen_US
dc.typeArticleen_US
dc.contributor.departmentEnvironmental Sciences Division, Oak Ridge National Laboratory, Tennesseeen_US
dc.identifier.journalTree-Ring Bulletinen_US
dc.description.collectioninformationThis item is part of the Tree-Ring Research (formerly Tree-Ring Bulletin) archive. It was digitized from a physical copy provided by the Laboratory of Tree-Ring research at The University of Arizona. For more information about this peer-reviewed scholarly journal, please email the Editor of Tree-Ring Research at editor@treeringsociety.org.en_US
refterms.dateFOA2018-04-25T22:25:00Z
html.description.abstractThe average ring-width index of two published chronologies from the eastern Tennessee climatic division was used as a single predictor variable in linear regression to reconstruct May June precipitation. Regression equations obtained using regionally averaged precipitation data from stations within the climatic division were compared with regressions obtained using single-station (Knoxville, Tennessee) data for comparable periods. The (regionally averaged) division data always provided the better calibration statistics for the regression equations. When the regressions calibrated using division data were verified with independent data for the climatic division and for Knoxville, the better results were always obtained for the division data. When regressions calibrated using single-station data were verified, the independent division data once again provided better results than the independent Knoxville data. Regionally averaged precipitation data also provided more satisfactory results than single- station data in a similar experiment for central Iowa, and probably provides better results in general for this type of dendroclimatic experiment.


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