Improving Seasonal to Annual Predictions of Climate Variability and Water Availability at the Catchment Scale

Persistent Link:
http://hdl.handle.net/10150/193313
Title:
Improving Seasonal to Annual Predictions of Climate Variability and Water Availability at the Catchment Scale
Author:
Switanek, Matthew
Issue Date:
2008
Publisher:
The University of Arizona.
Rights:
Copyright © is held by the author. Digital access to this material is made possible by the University Libraries, University of Arizona. Further transmission, reproduction or presentation (such as public display or performance) of protected items is prohibited except with permission of the author.
Abstract:
In a water-stressed region, such as the southwestern United States, it is essential to improve current seasonal hydroclimatic predictions. Typically, seasonal hydroclimatic predictions have been conditioned by standard climate indices, e.g., NINO3 and PDO. In this work, a methodology called basin-specific climate prediction (BSCP) is proposed to improve hydroclimatic predictions. The method analyzes the statistically unique relationships between sea surface temperatures (SSTs) and a basin's hydroclimate. The oceanic region which maximizes the correlation is subsequently used as a predictor for hydroclimate. BSCP is used to perform hindcasts for the hydroclimate in the Little Colorado River basin and the results are compared to those using standard climate indices as predictors.
Type:
text; Electronic Thesis
Keywords:
Hydrology
Degree Name:
MS
Degree Level:
masters
Degree Program:
Hydrology; Graduate College
Degree Grantor:
University of Arizona
Committee Chair:
Troch, Peter A.

Full metadata record

DC FieldValue Language
dc.language.isoENen_US
dc.titleImproving Seasonal to Annual Predictions of Climate Variability and Water Availability at the Catchment Scaleen_US
dc.creatorSwitanek, Matthewen_US
dc.contributor.authorSwitanek, Matthewen_US
dc.date.issued2008en_US
dc.publisherThe University of Arizona.en_US
dc.rightsCopyright © is held by the author. Digital access to this material is made possible by the University Libraries, University of Arizona. Further transmission, reproduction or presentation (such as public display or performance) of protected items is prohibited except with permission of the author.en_US
dc.description.abstractIn a water-stressed region, such as the southwestern United States, it is essential to improve current seasonal hydroclimatic predictions. Typically, seasonal hydroclimatic predictions have been conditioned by standard climate indices, e.g., NINO3 and PDO. In this work, a methodology called basin-specific climate prediction (BSCP) is proposed to improve hydroclimatic predictions. The method analyzes the statistically unique relationships between sea surface temperatures (SSTs) and a basin's hydroclimate. The oceanic region which maximizes the correlation is subsequently used as a predictor for hydroclimate. BSCP is used to perform hindcasts for the hydroclimate in the Little Colorado River basin and the results are compared to those using standard climate indices as predictors.en_US
dc.typetexten_US
dc.typeElectronic Thesisen_US
dc.subjectHydrologyen_US
thesis.degree.nameMSen_US
thesis.degree.levelmastersen_US
thesis.degree.disciplineHydrologyen_US
thesis.degree.disciplineGraduate Collegeen_US
thesis.degree.grantorUniversity of Arizonaen_US
dc.contributor.chairTroch, Peter A.en_US
dc.identifier.proquest2840en_US
dc.identifier.oclc659749910en_US
All Items in UA Campus Repository are protected by copyright, with all rights reserved, unless otherwise indicated.