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The Shift of Precipitation Maxima on the Annual Maximum Series using Regional Climate Model Precipitation Data

Abstract Ten regional climate models (RCMs) and atmosphere-ocean generalized model parings from the North America Regional Climate Change Assessment Program were used to estimate the shift of extreme precipitation due to climate change using present-day and future-day climate scenarios. RCMs emulate winter storms and one-day duration events at the sub-regional level. Annual maximum series were derived for each model pairing, each modeling period; and for annual and winter seasons. The reliability ensemble average (REA) method was used to qualify each RCM annual maximum series to reproduce historical records and approximate average predictions, because there are no future records. These series determined (a) shifts in extreme precipitation frequencie... (more)
Created Date 2013
Contributor Riano, Alejandro (Author) / Mays, Larry W (Advisor) / Vivoni, Enrique (Committee member) / Huang, Huei-Ping (Committee member) / Arizona State University (Publisher)
Subject Civil engineering / Hydrologic sciences / Water resources management / climate change / frequency analysis / NARCAAP / precipitation maxima / regional climate models / reliability ensemble average
Type Masters Thesis
Extent 240 pages
Language English
Reuse Permissions All Rights Reserved
Note M.S. Civil and Environmental Engineering 2013
Collaborating Institutions Graduate College / ASU Library
Additional Formats MODS / OAI Dublin Core / RIS

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Description Dissertation/Thesis