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Evaluation of future design rainfall extremes and characteristics using multiple-model and multiple-scenario climate change models

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Date Issued:
2013
Summary:
Climate models are common tools for developing design standards in the hydrologic field; however, these models contain uncertainties in multi-model and scenario selections. Along with these uncertainties, biases can be attached to the models. Such biases and uncertainties can present difficulties in predicting future extremes. These hydrologic extremes are believed to be non-stationary in character. Only in the recent past have model users come to terms that the current hydrologic designs are no longer relevant due to their assumption of stationarity. This study describes a systematic method of selecting a best fit model in relationship to location and time, along with the use of that best fit model for evaluation of future extremes. Rain gage stations throughout Florida are used to collect daily precipitation data used in extreme precipitation and quantitative indices. Through these indices conclusions are made on model selection and future extremes, as they relate to hydrologic designs.
Title: Evaluation of future design rainfall extremes and characteristics using multiple-model and multiple-scenario climate change models.
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Name(s): Dezmain, Celyn, author
Teegavarapu, Ramesh, Thesis advisor
College of Engineering and Computer Science, Degree grantor
Department of Civil, Environmental and Geomatics Engineering
Type of Resource: text
Genre: Electronic Thesis Or Dissertation
Issuance: single unit
Date Created: Fall 2013
Date Issued: 2013
Publisher: Florida Atlantic University
Physical Form: Online Resource
Extent: 190 p.
Language(s): English
Summary: Climate models are common tools for developing design standards in the hydrologic field; however, these models contain uncertainties in multi-model and scenario selections. Along with these uncertainties, biases can be attached to the models. Such biases and uncertainties can present difficulties in predicting future extremes. These hydrologic extremes are believed to be non-stationary in character. Only in the recent past have model users come to terms that the current hydrologic designs are no longer relevant due to their assumption of stationarity. This study describes a systematic method of selecting a best fit model in relationship to location and time, along with the use of that best fit model for evaluation of future extremes. Rain gage stations throughout Florida are used to collect daily precipitation data used in extreme precipitation and quantitative indices. Through these indices conclusions are made on model selection and future extremes, as they relate to hydrologic designs.
Identifier: FA0004016 (IID)
Note(s): Includes bibliography.
Thesis (M.S.)--Florida Atlantic University, 2013.
Subject(s): Climatic changes -- Environmental aspects
Climatic extremes
Hydrologic models
Percipitation (Meteorology) -- Measurement
Held by: Florida Atlantic University Digital Library
Sublocation: Boca Raton, Fla.
Persistent Link to This Record: http://purl.flvc.org/fau/fd/FA0004016
Restrictions on Access: All rights reserved by the source institution
Restrictions on Access: http://rightsstatements.org/vocab/InC/1.0/
Host Institution: FAU