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El Niño–Southern Oscillation Link to South Florida Hydrology and Water Management Applications

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  • Wossenu Abtew
  • Paul Trimble

Abstract

This study evaluates the relationships between El Niño–Southern Oscillation (ENSO) indices and South Florida hydrology and proposes applications to water management decision making. ENSO relations to the Upper Kissimmee Basin rainfall, watershed for Lake Okeechobee, and cumulative sea surface temperature (SST) anomalies at Niño 3.4 were evaluated. Additionally, relationship between ENSO and Lake Okeechobee inflows, Arbuckle Creek and Josephine Creek flows were analyzed. Hydrology of the northern watersheds of the South Florida water management system is linked to ENSO events. Dry season (November–May) rainfall and flows are higher than average during El Niño years and lower during La Niña years, at the 90% confidence level or higher. The relationship is strongest when the ENSO event is strong as shown with analysis of correlation. ENSO prediction has more certainty than hydrologic prediction for a region. Identifying ENSO and hydrologic relationships can aid water management decision making by providing a lead-time of months to mitigate drought or flood impacts. The ENSO tracking method, which was published in a previous study, is presented to track ENSO strength and event type to provide supplemental outlook on dry season rainfall for Lake Okeechobee operations. Lake Okeechobee, which is the main storage in the South Florida water management system, is regulated by a schedule with a limited band of stage fluctuation because of susceptibility of the Herbert Hoover Dike to wave erosion and seepage at high stages. An early decision making approach to storage management with respect to ENSO related hydrology, is presented based on tracking the strength of ENSO events. Copyright Springer Science+Business Media B.V. 2010

Suggested Citation

  • Wossenu Abtew & Paul Trimble, 2010. "El Niño–Southern Oscillation Link to South Florida Hydrology and Water Management Applications," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 24(15), pages 4255-4271, December.
    • Handle: RePEc:spr:waterr:v:24:y:2010:i:15:p:4255-4271
    DOI: 10.1007/s11269-010-9656-2
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    Citations

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    Cited by:

    1. Meysam Ghamariadyan & Monzur A. Imteaz, 2021. "Prediction of Seasonal Rainfall with One-year Lead Time Using Climate Indices: A Wavelet Neural Network Scheme," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 35(15), pages 5347-5365, December.
    2. Vidayshree Misir & D. Arya & A. Murumkar, 2013. "Impact of ENSO on River Flows in Guyana," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 27(13), pages 4611-4621, October.
    3. Mohammadi, Kasra & Goudarzi, Navid, 2018. "Study of inter-correlations of solar radiation, wind speed and precipitation under the influence of El Niño Southern Oscillation (ENSO) in California," Renewable Energy, Elsevier, vol. 120(C), pages 190-200.
    4. Rafael Carvalho & Colin Woodroffe, 2015. "Rainfall Variability in the Shoalhaven River Catchment and its Relation to Climatic Indices," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 29(14), pages 4963-4976, November.
    5. Wei, Yu & Zhang, Jiahao & Chen, Yongfei & Wang, Yizhi, 2022. "The impacts of El Niño-southern oscillation on renewable energy stock markets: Evidence from quantile perspective," Energy, Elsevier, vol. 260(C).
    6. Christine Kirchhoff, 2013. "Understanding and enhancing climate information use in water management," Climatic Change, Springer, vol. 119(2), pages 495-509, July.

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