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dc.creatorMaurer, Edwin P.
dc.creatorHidalgo León, Hugo G.
dc.creatorDas, Tapash
dc.creatorDettinger, Michael D.
dc.creatorCayan, Daniel R.
dc.date.accessioned2017-06-05T14:02:32Z
dc.date.available2017-06-05T14:02:32Z
dc.date.issued2010-06-30
dc.identifier.citationhttp://www.hydrol-earth-syst-sci.net/14/1125/2010/hess-14-1125-2010.html
dc.identifier.issn1027-5606
dc.identifier.urihttps://hdl.handle.net/10669/29871
dc.description.abstractThree statistical downscaling methods were applied to NCEP/NCAR reanalysis (used as a surrogate for the best possible general circulation model), and the downscaled meteorology was used to drive a hydrologic model over California. The historic record was divided into an “observed” period of 1950-1976 to provide the basis for downscaling, and a “projected” period of 1977–1999 for assessing skill. The downscaling methods included a biascorrection/spatial downscaling method (BCSD), which relies solely on monthly large scale meteorology and resamples the historical record to obtain daily equences, constructed analogues approach (CA), which uses daily large-scale anomalies, and a hybrid method (BCCA) using a quantile-mapping bias correction on the large-scale data prior to the CA approach. At 11 sites we compared three simulated daily flow statistics: streamflow timing, 3-day peak flow, and 7-day low flow. While all downscaling methods produced reasonable streamflow statistics at most locations, the BCCA method consistently outperformed the other methods, capturing the daily large-scale skill and translating it to simulated streamflows that more skillfully reproduced observationally-driven streamflows.es_ES
dc.description.sponsorshipUnited States Department of Energy///Estados Unidoses_ES
dc.description.sponsorshipCALFED Bay-Delta Program///Estados Unidoses_ES
dc.language.isoen_USes_ES
dc.rightsAtribución-NoComercial 3.0 Costa Rica*
dc.rights.urihttp://creativecommons.org/licenses/by-nc/3.0/cr/*
dc.sourceHydrology and Earth System Sciences; Volumen 14, Número 6. 2010es_ES
dc.subjectCambio Climáticoes_ES
dc.subjectClimatologíaes_ES
dc.titleThe utility of daily large-scale climate data in the assessment of climate change impacts on daily streamflow in Californiaes_ES
dc.typeartículo científico
dc.identifier.doi10.5194/hess-14-1125-2010
dc.description.procedenceUCR::Vicerrectoría de Investigación::Unidades de Investigación::Ciencias Básicas::Centro de Investigaciones Geofísicas (CIGEFI)es_ES


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Atribución-NoComercial 3.0 Costa Rica
Except where otherwise noted, this item's license is described as Atribución-NoComercial 3.0 Costa Rica