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dc.contributor.authorKarnieli, Arnon,1952-
dc.date.accessioned2013-07-18T18:59:51Z
dc.date.available2013-07-18T18:59:51Z
dc.date.issued1988-04-16
dc.identifier.issn0272-6106
dc.identifier.urihttp://hdl.handle.net/10150/296409
dc.descriptionFrom the Proceedings of the 1988 Meetings of the Arizona Section - American Water Resources Association and the Hydrology Section - Arizona-Nevada Academy of Science - April 16, 1988, University of Arizona, Tucson, Arizonaen_US
dc.description.abstractThe classical methods for interpolating and spatial averaging of precipitation fields fail to quantify the accuracy of the estimate. On the other hand, kriging is an interpolation method for predicting values of regionalized variables at points (punctual kriging) or average values over an area (block kriging). This paper demonstrates the use of the kriging method for mapping and evaluating precipitation data for the state of Arizona. Using 158 rain gage stations with 30 years or more of record, the precipitation over the state has been modeled as a realization of a two dimensional random field taking into consideration the spatial variability conditions. Three data sets have been used: (1) the mean annual precipitation over the state; (2) the mean summer rainy season; and (3) the mean winter rainy season. Validation of the empirical semi-variogram for a constant drift case indicated that the exponential model was appropriate for all the data sets. In addition to a global kriging analysis, the data have been examined under an anisotropic assumption which reflects the topographic structure of the state.
dc.language.isoen_USen_US
dc.publisherArizona-Nevada Academy of Scienceen_US
dc.rightsCopyright ©, where appropriate, is held by the author.
dc.subjectHydrology -- Arizona.en_US
dc.subjectWater resources development -- Arizona.en_US
dc.subjectHydrology -- Southwestern states.en_US
dc.subjectWater resources development -- Southwestern states.en_US
dc.titleMapping the Areal Precipitation over Arizona - Using Kriging Techniqueen_US
dc.typetexten_US
dc.typeProceedingsen_US
dc.contributor.departmentU.S. Department of Agriculture, Agricultural Research Service, Tucson, Arizona 85719en_US
dc.contributor.departmentUniversity of Arizona, Water Resources Research Centeren_US
dc.identifier.journalHydrology and Water Resources in Arizona and the Southwesten_US
dc.description.collectioninformationThis article is part of the Hydrology and Water Resources in Arizona and the Southwest collections. Digital access to this material is made possible by the Arizona-Nevada Academy of Science and the University of Arizona Libraries. For more information about items in this collection, contact anashydrology@gmail.com.en_US
refterms.dateFOA2018-07-14T02:38:16Z
html.description.abstractThe classical methods for interpolating and spatial averaging of precipitation fields fail to quantify the accuracy of the estimate. On the other hand, kriging is an interpolation method for predicting values of regionalized variables at points (punctual kriging) or average values over an area (block kriging). This paper demonstrates the use of the kriging method for mapping and evaluating precipitation data for the state of Arizona. Using 158 rain gage stations with 30 years or more of record, the precipitation over the state has been modeled as a realization of a two dimensional random field taking into consideration the spatial variability conditions. Three data sets have been used: (1) the mean annual precipitation over the state; (2) the mean summer rainy season; and (3) the mean winter rainy season. Validation of the empirical semi-variogram for a constant drift case indicated that the exponential model was appropriate for all the data sets. In addition to a global kriging analysis, the data have been examined under an anisotropic assumption which reflects the topographic structure of the state.


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