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Propagation of future climate conditions into hydrologic response from coastal southern California watersheds

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Listed:
  • Dongmei Feng

    (Northeastern University)

  • Edward Beighley

    (Northeastern University
    Northeastern University)

  • Roozbeh Raoufi

    (Northeastern University)

  • John Melack

    (University of California)

  • Yuanhao Zhao

    (Northeastern University)

  • Sam Iacobellis

    (University of California)

  • Daniel Cayan

    (University of California)

Abstract

As a biodiverse region under a Mediterranean climate with a mix of highly developed and natural watersheds, coastal Santa Barbara County (SB), located in southern California, is susceptible to the hydrologic impacts of climate change. This study investigates the potential changes in hydro-meteorological variables in this region as well as their societal and ecological implications for projected climate conditions during the twenty-first century. Daily streamflow ensembles from 135 coastal watersheds for the period 2021–2100 are developed using the Hillslope River Routing (HRR) model forced with downscaled precipitation and temperature projections derived from 10 climate models in the Coupled Model Inter-Comparison Project, Phase 5, and two emission scenarios (Representative Concentration Pathways, RCP, 4.5 and 8.5). Analysis of the projected ensemble precipitation and streamflow series relative to historical conditions (1961–2000) shows (i) minimal change in annual precipitation (median change within ±3%); (ii) an altered seasonal rainfall distribution with a decrease in rainfall at the beginning of the rainy season (Oct–Dec), an increase during the Jan–Mar period, and a decrease at the end of the season (Apr–Jun); (iii) increases in the magnitude and frequency of large storms (> 36 mm/day) which combined with a shorter rainy season, lead to increases in annual peak flows; and (iv) the propagation of the altered precipitation characteristics resulting in nonlinear changes in the magnitude and variability of annual maximum discharges (i.e., mean, standard deviation, skew) impacting estimated return period discharges (e.g., estimated 100-year flood discharges for the period 2061–2100 under 8.5 increase by up to 185%). While these results are specific to southern coastal California, the nature of nonlinear hydrologic response to altered precipitation characteristics underscores the value of regional studies investigating potential impacts of climate projections on streamflow dynamics.

Suggested Citation

  • Dongmei Feng & Edward Beighley & Roozbeh Raoufi & John Melack & Yuanhao Zhao & Sam Iacobellis & Daniel Cayan, 2019. "Propagation of future climate conditions into hydrologic response from coastal southern California watersheds," Climatic Change, Springer, vol. 153(1), pages 199-218, March.
  • Handle: RePEc:spr:climat:v:153:y:2019:i:1:d:10.1007_s10584-019-02371-3
    DOI: 10.1007/s10584-019-02371-3
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    References listed on IDEAS

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    1. Alexander Gelfan & David Gustafsson & Yury Motovilov & Berit Arheimer & Andrey Kalugin & Inna Krylenko & Alexander Lavrenov, 2017. "Climate change impact on the water regime of two great Arctic rivers: modeling and uncertainty issues," Climatic Change, Springer, vol. 141(3), pages 499-515, April.
    2. T. P. Barnett & J. C. Adam & D. P. Lettenmaier, 2005. "Potential impacts of a warming climate on water availability in snow-dominated regions," Nature, Nature, vol. 438(7066), pages 303-309, November.
    3. Boris Orlowsky & Sonia Seneviratne, 2012. "Global changes in extreme events: regional and seasonal dimension," Climatic Change, Springer, vol. 110(3), pages 669-696, February.
    4. Richard H. Moss & Jae A. Edmonds & Kathy A. Hibbard & Martin R. Manning & Steven K. Rose & Detlef P. van Vuuren & Timothy R. Carter & Seita Emori & Mikiko Kainuma & Tom Kram & Gerald A. Meehl & John F, 2010. "The next generation of scenarios for climate change research and assessment," Nature, Nature, vol. 463(7282), pages 747-756, February.
    5. S. Eisner & M. Flörke & A. Chamorro & P. Daggupati & C. Donnelly & J. Huang & Y. Hundecha & H. Koch & A. Kalugin & I. Krylenko & V. Mishra & M. Piniewski & L. Samaniego & O. Seidou & M. Wallner & V. K, 2017. "An ensemble analysis of climate change impacts on streamflow seasonality across 11 large river basins," Climatic Change, Springer, vol. 141(3), pages 401-417, April.
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