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Dendroclimatic Calibration and Verification Using Regionally Averaged and Single Station Precipitation Data
| dc.contributor.author | Blasing, T. J. | |
| dc.contributor.author | Duvick, D. N. | |
| dc.contributor.author | West, D. C. | |
| dc.date.accessioned | 2012-12-12T21:38:13Z | |
| dc.date.available | 2012-12-12T21:38:13Z | |
| dc.date.issued | 1981 | |
| dc.identifier.citation | Blasing, 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.issn | 0041-2198 | |
| dc.identifier.uri | http://hdl.handle.net/10150/261056 | |
| dc.description.abstract | The 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.iso | en_US | en_US |
| dc.publisher | Tree-Ring Society | en_US |
| dc.relation.url | http://www.treeringsociety.org | en_US |
| dc.rights | Copyright © Tree-Ring Society. All rights reserved. | en_US |
| dc.subject | Dendrochronology | en_US |
| dc.subject | Tree Rings | en_US |
| dc.subject | Dendroclimatology | en_US |
| dc.subject | Statistical Analysis | en_US |
| dc.title | Dendroclimatic Calibration and Verification Using Regionally Averaged and Single Station Precipitation Data | en_US |
| dc.type | Article | en_US |
| dc.contributor.department | Environmental Sciences Division, Oak Ridge National Laboratory, Tennessee | en_US |
| dc.identifier.journal | Tree-Ring Bulletin | en_US |
| dc.description.collectioninformation | This 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.dateFOA | 2018-04-25T22:25:00Z | |
| html.description.abstract | The 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. |
