Mapping the Areal Precipitation over Arizona - Using Kriging Technique
From 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, Arizona === The classical methods for interpolating and spatial averaging of precipit...
Main Author: | |
---|---|
Other Authors: | |
Language: | en_US |
Published: |
Arizona-Nevada Academy of Science
1988
|
Subjects: | |
Online Access: | http://hdl.handle.net/10150/296409 |
id |
ndltd-arizona.edu-oai-arizona.openrepository.com-10150-296409 |
---|---|
record_format |
oai_dc |
spelling |
ndltd-arizona.edu-oai-arizona.openrepository.com-10150-2964092015-10-23T05:19:01Z Mapping the Areal Precipitation over Arizona - Using Kriging Technique Karnieli, Arnon U.S. Department of Agriculture, Agricultural Research Service, Tucson, Arizona 85719 University of Arizona, Water Resources Research Center Hydrology -- Arizona. Water resources development -- Arizona. Hydrology -- Southwestern states. Water resources development -- Southwestern states. From 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, Arizona The 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. 1988-04-16 text Proceedings 0272-6106 http://hdl.handle.net/10150/296409 Hydrology and Water Resources in Arizona and the Southwest en_US Copyright ©, where appropriate, is held by the author. Arizona-Nevada Academy of Science |
collection |
NDLTD |
language |
en_US |
sources |
NDLTD |
topic |
Hydrology -- Arizona. Water resources development -- Arizona. Hydrology -- Southwestern states. Water resources development -- Southwestern states. |
spellingShingle |
Hydrology -- Arizona. Water resources development -- Arizona. Hydrology -- Southwestern states. Water resources development -- Southwestern states. Karnieli, Arnon Mapping the Areal Precipitation over Arizona - Using Kriging Technique |
description |
From 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, Arizona === The 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. |
author2 |
U.S. Department of Agriculture, Agricultural Research Service, Tucson, Arizona 85719 |
author_facet |
U.S. Department of Agriculture, Agricultural Research Service, Tucson, Arizona 85719 Karnieli, Arnon |
author |
Karnieli, Arnon |
author_sort |
Karnieli, Arnon |
title |
Mapping the Areal Precipitation over Arizona - Using Kriging Technique |
title_short |
Mapping the Areal Precipitation over Arizona - Using Kriging Technique |
title_full |
Mapping the Areal Precipitation over Arizona - Using Kriging Technique |
title_fullStr |
Mapping the Areal Precipitation over Arizona - Using Kriging Technique |
title_full_unstemmed |
Mapping the Areal Precipitation over Arizona - Using Kriging Technique |
title_sort |
mapping the areal precipitation over arizona - using kriging technique |
publisher |
Arizona-Nevada Academy of Science |
publishDate |
1988 |
url |
http://hdl.handle.net/10150/296409 |
work_keys_str_mv |
AT karnieliarnon mappingthearealprecipitationoverarizonausingkrigingtechnique |
_version_ |
1718105038616788992 |