2012
DOI: 10.1016/j.jhydrol.2011.04.038
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Value of adaptive water resources management in Northern California under climatic variability and change: Reservoir management

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Cited by 140 publications
(59 citation statements)
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“…Due to the significant computational time involved, dynamical downscaling efforts often yield a single downscaled realization of physically consistent input vectors for hydrologic modeling (e.g., downscaling 30 years of GCM data produces a single 30 year simulation). This approach often requires bias adjustment for the downscaled high resolution fields and/or for the resultant streamflow (Georgakakos et al, 2012a).…”
Section: N Peleg Et Al: Modeling Convective Rainfall Sensitivity Tomentioning
confidence: 99%
“…Due to the significant computational time involved, dynamical downscaling efforts often yield a single downscaled realization of physically consistent input vectors for hydrologic modeling (e.g., downscaling 30 years of GCM data produces a single 30 year simulation). This approach often requires bias adjustment for the downscaled high resolution fields and/or for the resultant streamflow (Georgakakos et al, 2012a).…”
Section: N Peleg Et Al: Modeling Convective Rainfall Sensitivity Tomentioning
confidence: 99%
“…An emerging field of research has begun to demonstrate the value of seasonal streamflow forecasts when applied to real-world water management problems, such as determining the appropriate water release from a reservoir -the focus of the present study. Water release decisions can be improved with seasonal forecasts across a variety of reservoir types, including hydropower dams (Kim and Palmer, 1997;Faber and Stedinger, 2001;Hamlet et al, 2002;Alemu et al, 2010;Block, 2011), water supply reservoirs (Anghileri et al, 2016;Zhao and Zhao, 2014;Li et al, 2014) and reservoir systems operated for multiple competing objectives (Graham and Georgakakos, 2010;Georgakakos et al, 2012). Operators considering whether to adopt a forecast-informed operating scheme should be encouraged by these outcomes.…”
Section: Introductionmentioning
confidence: 99%
“…It is a simplified orographic precipitation model that decouples the momentum equation from the atmospheric moisture conservation equations, and uses a potential theory flow solution for the three-dimensional wind field over undulating terrain. This model was successfully implemented in the Sierra Nevada, Northern California [48][49][50][51][52], Southern California [53], and the Panama Canal watershed [54,55]. It was shown to perform comparably to the full-physics numerical weather prediction mesoscale models (e.g., WRF) in regions with pronounced terrain features [18,[48][49][50][51][52] at a very significant computational savings.…”
Section: Orographic Precipitation Model (Opm)mentioning
confidence: 99%