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dc.contributor.convenorJiao Jurenen_AU
dc.contributor.authorYu, Bofuen_US
dc.contributor.editorJiao Jurenen_US
dc.date.accessioned2017-05-03T12:11:41Z
dc.date.available2017-05-03T12:11:41Z
dc.date.issued2002en_US
dc.date.modified2010-07-07T07:40:29Z
dc.identifier.urihttp://hdl.handle.net/10072/9102
dc.description.abstractCLIGEN is a stochastic weather generator to produce daily variables to drive process-based runoff and erosion prediction models such as WEPP. Algorithms were developed to compute the R-factor, its monthly distribution, and 10-year storm erosion index (EI) needed to apply the revised Universal Soil Loss Equation (RUSLE) using stochastically generated weather variables. Measured R-factor and 10-year storm EI for 43 sites in Australia and 75 sites in the United States were used to test whether CLIGEN can be used to produce necessary climate inputs for RUSLE. It was found that R-factor calculated using CLIGENgenerated weather sequences is well related to the measured R-factor for these sites (r2 = 0.94, n = 118). In addition, CLIGEN-generated precipitation data can be used to predict 10-year storm EI (r2 = 0.82), and monthly distribution of rainfall erosivity for a wide range of climate environments (average discrepancy about 1.9%). CLIGEN can be used to generate a range of climate inputs for runoff and soil erosion predictions. This represents considerable improvement over existing methods to estimate climate inputs for RUSLE.en_US
dc.description.publicationstatusYesen_AU
dc.format.extent238379 bytes
dc.format.mimetypeapplication/pdf
dc.languageEnglishen_US
dc.language.isoen_AU
dc.publisherTsinghua University Pressen_US
dc.publisher.placeBeijing, Chinaen_US
dc.publisher.urihttp://www.tucson.ars.ag.gov/isco/isco12/volume_4.htmlen_US
dc.relation.ispartofconferencename12th ISCO Conferenceen_US
dc.relation.ispartofconferencetitleDynamic Monitoring, Forecasting and Evaluation of Soil Erosion, Watershed Management and Development, Desertification Controlen_US
dc.relation.ispartofdatefrom2002-05-26en_US
dc.relation.ispartofdateto2002-05-30en_US
dc.relation.ispartoflocationBeijing, Chinaen_US
dc.subject.fieldofresearchcode260599en_US
dc.titleR-factor prediction for Australian and the U.S. sites using weather generators.en_US
dc.typeConference outputen_US
dc.type.descriptionE2 - Conference Publications (Non HERDC Eligible)en_US
dc.type.codeE - Conference Publicationsen_US
gro.facultyGriffith Sciences, Griffith School of Engineeringen_US
gro.rights.copyrightCopyright remains with the author 2002. The attached file is posted here with permission of the copyright owner[s] for your personal use only. No further distribution permitted. For information about this conference please refer to the publisher's website or contact the author.en_AU
gro.date.issued2002
gro.hasfulltextFull Text


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