Reconstruction of Historical Inflows Into and Water Supply From Shasta Dam by Coupling Physically Based Hydroclimate Model With Reservoir Operation Model

dc.authorscopusid 56709326800
dc.authorscopusid 35098805600
dc.authorscopusid 55925966700
dc.authorscopusid 10541064700
dc.authorscopusid 56099185300
dc.authorscopusid 57087347600
dc.authorscopusid 57218344113
dc.contributor.author Trinh, T.
dc.contributor.author Jang, S.
dc.contributor.author Ishida, K.
dc.contributor.author Ohara, N.
dc.contributor.author Chen, Z. Q.
dc.contributor.author Anderson, M. L.
dc.contributor.author Kavvas, M. L.
dc.date.accessioned 2024-07-05T14:30:58Z
dc.date.available 2024-07-05T14:30:58Z
dc.date.issued 2016
dc.department Atılım University en_US
dc.department-temp [Trinh, T.; Ishida, K.; Chen, J.] Univ Calif Davis, Dept Civil & Environm Engn, Hydrol Res Lab, 1 Shields Ave, Davis, CA 95616 USA; [Jang, S.] Korea Water Resources Corp, Korea Inst Water & Environm, Daejeon 305730, South Korea; [Ohara, N.] Univ Wyoming, Dept Civil & Architectural Engn, Laramie, WY 82071 USA; [Chen, Z. Q.] Calif Dept Water Resources, Bay Delta Off, 1416 Ninth St, Sacramento, CA 95814 USA; [Anderson, M. L.] Calif Dept Water Resources, Hydrol & Flood Operat Off, 3310 El Camino Ave, Sacramento, CA 95821 USA; [Darama, Y.] Atilim Univ, Dept Civil Engn, Kizilcasar Mahallesi, TR-06836 Ankara, Turkey; [Kavvas, M. L.] Univ Calif Davis, Dept Civil & Environm Engn, 1 Shields Ave, Davis, CA 95616 USA en_US
dc.description.abstract Long-term water supply data are important for the current practice of water resources management at a target region. However, long-term water outflow data from reservoirs are typically limited at fine time resolution (hourly). In this study, the historical data on water supply from the Shasta Dam were reconstructed by a reservoir operation model with reconstructed reservoir inflow data. Before embarking on this exercise, first the inflow data were reconstructed by means of a watershed environmental hydrology hydroclimate model, with its input provided from historical atmospheric reanalysis data. The reanalysis data used in this study are from the National Center for Atmospheric Research and the National Center for Environmental Prediction (NCAR-NCEP) at spatial resolution of 2.5 degrees (210km at the modeled region). The NCAR-NCEP reanalysis data were dynamically downscaled to 3-km spatial grid resolution at hourly intervals by means of the regional atmospheric component of the hydroclimate model. The downscaled atmospheric data were then used as input to the hydroclimate model hydrologic module for the simulation of snowmelt and runoff conditions over Shasta Dam watershed. Then the reconstructed runoff from the watershed was used as input to a reservoir operation model for regulating outflow from Shasta Dam. The coupled hydroclimate model and reservoir model were successfully validated at Shasta Dam watershed by means of comparisons of the model simulations against the observations. Hence, the combination of proposed models were able to reconstruct the historical water supply data during a 60-year historical period (1950-2010) from Shasta Dam watershed. en_US
dc.identifier.citationcount 13
dc.identifier.doi 10.1061/(ASCE)HE.1943-5584.0001391
dc.identifier.issn 1084-0699
dc.identifier.issn 1943-5584
dc.identifier.issue 9 en_US
dc.identifier.scopus 2-s2.0-84983070799
dc.identifier.scopusquality Q3
dc.identifier.uri https://doi.org/10.1061/(ASCE)HE.1943-5584.0001391
dc.identifier.uri https://hdl.handle.net/20.500.14411/634
dc.identifier.volume 21 en_US
dc.identifier.wos WOS:000383130100005
dc.identifier.wosquality Q3
dc.language.iso en en_US
dc.publisher Asce-amer Soc Civil Engineers en_US
dc.relation.publicationcategory Makale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı en_US
dc.rights info:eu-repo/semantics/closedAccess en_US
dc.scopus.citedbyCount 18
dc.subject [No Keyword Available] en_US
dc.title Reconstruction of Historical Inflows Into and Water Supply From Shasta Dam by Coupling Physically Based Hydroclimate Model With Reservoir Operation Model en_US
dc.type Article en_US
dc.wos.citedbyCount 13
dspace.entity.type Publication

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