HR: 1340h
AN: H23F-1677    [Abstracts]
TI: Coupled Modes of Variability between Pacific and Atlantic Sea Surface Temperatures and Monthly Precipitation in Southwest Florida
AU: * Martinez, C J
EM: chrisjm@ufl.edu
AF: Department of Agricultural and Biological Engineering, Institute of Food and Agricultural Sciences, University of Florida, PO Box 110570, Gainesville, FL 32611, United States
AU: Newman, M A
AF: Water Institute, University of Florida, PO Box 116601, Gainesville, FL 32611, United States
AU: Newman, M A
AF: Department of Civil and Coastal Engineering, University of Florida, PO Box 116580, Gainesville, FL 32611, United States
AU: Jones, J W
AF: Department of Agricultural and Biological Engineering, Institute of Food and Agricultural Sciences, University of Florida, PO Box 110570, Gainesville, FL 32611, United States
AU: Graham, W D
AF: Department of Agricultural and Biological Engineering, Institute of Food and Agricultural Sciences, University of Florida, PO Box 110570, Gainesville, FL 32611, United States
AU: Graham, W D
AF: Water Institute, University of Florida, PO Box 116601, Gainesville, FL 32611, United States
AB: Water supply managers in Florida are increasingly turning to alternative sources in order to minimize the environmental impact of groundwater withdrawals. Tampa Bay Water, the largest wholesale water supplier in Southwest Florida, makes decisions regarding how to meet its customers" demands by rotating and apportioning among existing sources (groundwater, surface water, the regional reservoir, and desalination) to minimize cost and environmental impacts while maximizing reliability. As part of a study to improve source allocation decision making by Tampa Bay Water an evaluation of Pacific and Atlantic Ocean sea surface temperatures (SSTs) and monthly precipitation was performed to identify coupled modes of SST and precipitation variability. The monthly patterns of precipitation were analyzed in relation to SST in the Atlantic and Pacific Oceans using singular value decomposition analysis (SVD). Time-lagged analysis of SSTs and precipitation were investigated in order to identify SST regions that show forecast potential for use in a suite of hydrologic forecast models used by Tampa Bay Water.
DE: 1807 Climate impacts
DE: 1854 Precipitation (3354)
DE: 3394 Instruments and techniques
SC: Hydrology [H]
MN: 2007 Fall Meeting