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dc.contributor.authorWight, J. R.
dc.contributor.authorHanson, C. L.
dc.date.accessioned2020-09-24T02:18:19Z
dc.date.available2020-09-24T02:18:19Z
dc.date.issued1991-05-01
dc.identifier.citationWight, J. R., & Hanson, C. L. (1991). Use of stochastically generated weather records with rangeland simulation models. Journal of Range Management, 44(3), 282-285.
dc.identifier.issn0022-409X
dc.identifier.doi10.2307/4002958
dc.identifier.urihttp://hdl.handle.net/10150/644802
dc.description.abstractWe compared long-term historical and stochastically generated weather records in terms of their statistical attributes and effects on herbage yield and runoff forecasts calculated from model simulations. The historical and synthetic air temperature and solar radiation records were in good agreement in terms of monthly means and extremes. The synthetic precipitation record failed to simulate extreme precipitation events which significantly reduced forecasted runoff values. Yield forecasts were similar using either historical or synthetic weather records.
dc.language.isoen
dc.publisherSociety for Range Management
dc.relation.urlhttps://rangelands.org/
dc.rightsCopyright © Society for Range Management.
dc.rights.urihttp://rightsstatements.org/vocab/InC/1.0/
dc.subjectyield forecasting
dc.subjecthydrology models
dc.subjectstochastic processes
dc.subjecthydrologic data
dc.subjectsolar radiation
dc.subjectsimulation models
dc.subjectprediction
dc.subjectmeteorological data
dc.subjectair temperature
dc.subjectrunoff
dc.subjectprecipitation
dc.subjectcrop yield
dc.subjectrangelands
dc.subjectforage
dc.titleUse of stochastically generated weather records with rangeland simulation models
dc.typetext
dc.typeArticle
dc.identifier.journalJournal of Range Management
dc.description.noteThis material was digitized as part of a cooperative project between the Society for Range Management and the University of Arizona Libraries.
dc.description.collectioninformationThe Journal of Range Management archives are made available by the Society for Range Management and the University of Arizona Libraries. Contact lbry-journals@email.arizona.edu for further information.
dc.eprint.versionFinal published version
dc.description.admin-noteMigrated from OJS platform August 2020
dc.source.volume44
dc.source.issue3
dc.source.beginpage282-285
refterms.dateFOA2020-09-24T02:18:19Z


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