Yakima Memory

Comparison of various precipitation downscaling methods for the simulation of streamflow in a rainshadow river basin

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dc.contributor.author Salathé, Eric P.
dc.date.accessioned 2019-09-19T17:14:02Z
dc.date.available 2019-09-19T17:14:02Z
dc.date.issued 2003
dc.identifier.citation Salathé, E. P. (2003). Comparison of various precipitation downscaling methods for the simulation of streamflow in a rainshadow river basin. International Journal of Climatology, 23(8), 887–901. en_US
dc.identifier.issn 08998418
dc.identifier.other DOI 10.1002/joc.922
dc.identifier.uri http://hdl.handle.net/20.500.11867/18093
dc.description PDF of a journal article that appeared in the International Journal of Climatology (2003), vol. 28, No. 3, pg. 887-901. en_US
dc.description.abstract Global simulations of precipitation from climate models lack sufficient resolution and contain large biases that make them unsuitable for regional studies, such as forcing hydrologic simulations. In this study, the effectiveness of several methods to downscale large-scale precipitation is examined. To facilitate comparisons with observations and to remove uncertainties in other fields, large-scale predictor fields to be downscaled are taken from the National Centers for Environmental Prediction–National Center for Atmospheric Research reanalyses. Three downscaling methods are used: (1): a local scaling of the simulated large-scale precipitation; (2) a modified scaling of simulated precipitation that takes into account the large-scale wind field; and (3) an analogue method with 1000 hPa heights as predictor. A hydrologic model of the Yakima River in central Washington state, USA, is then forced by the three downscaled precipitation datasets. Simulations with the raw large-scale precipitation and gridded observations are also made. Comparisons among these simulated flows reveal the effectiveness of the downscaling methods. The local scaling of the simulated large-scale precipitation is shown to be quite successful and simple to implement. Furthermore, the tuning of the downscaling methods is valid across phases of the Pacific decadal oscillation, suggesting that the methods are applicable to climate-change studies. Copyright  2003 Royal Meteorological Society. en_US
dc.description.sponsorship YBFWRB en_US
dc.language.iso en_US en_US
dc.publisher International Journal of Climatology en_US
dc.rights This Item is protected by copyright and/or related rights. You are free to use this Item in any way that is permitted by the copyright and related rights legislation that applies to your use. In addition, no permission is required from the rights-holder(s) for non-commercial uses. For other uses you need to obtain permission from the rights-holder(s).
dc.rights.uri http://rightsstatements.org/vocab/InC-NC/1.0/
dc.subject Hydrologic modeling en_US
dc.subject Downscaling en_US
dc.subject Climate change en_US
dc.subject Streamflow en_US
dc.subject Yakima River en_US
dc.subject Hydrologic modelling en_US
dc.title Comparison of various precipitation downscaling methods for the simulation of streamflow in a rainshadow river basin en_US
dc.type Article en_US


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