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dc.contributor.authorMcAda, Douglas Paul.*
dc.creatorMcAda, Douglas Paul.en_US
dc.date.accessioned2011-11-28T14:02:22Z
dc.date.available2011-11-28T14:02:22Z
dc.date.issued1978en_US
dc.identifier.urihttp://hdl.handle.net/10150/191678
dc.description.abstractRegression equations were developed relating global, direct, and diffuse solar radiation to: (1) potential solar radiation, (2) solar elevation, and (3) the proportion of sky covered by specific cloud genera or by opaque and transparent clouds, on both an hourly and a daily basis. The equations were synthesized from source data collected at two sites in the ponderosa pine forests of Arizona. A subroutine was developed from the derived equations to be used in conjunction with a computer model that simulates snowmelt processes. The subroutine predicts the amount of solar radiation impinging upon a snowpack from cloud cover, when actual measurements are unavailable. Sources of cloud cover information for input to the subroutine are also discussed.
dc.language.isoenen_US
dc.publisherThe University of Arizona.en_US
dc.rightsCopyright © is held by the author. Digital access to this material is made possible by the University Libraries, University of Arizona. Further transmission, reproduction or presentation (such as public display or performance) of protected items is prohibited except with permission of the author.en_US
dc.subject.lcshHydrology.en_US
dc.subject.lcshSolar radiation -- Arizona.en_US
dc.subject.lcshClouds -- Arizona.en_US
dc.subject.lcshSnow -- Arizona.en_US
dc.titleIndexing solar radiation by clouds for snowmelt modelingen_US
dc.typeThesis-Reproduction (electronic)en_US
dc.typetexten_US
dc.contributor.chairFfolliott, Peter F.en_US
dc.identifier.oclc212780945en_US
thesis.degree.grantorUniversity of Arizonaen_US
thesis.degree.levelmastersen_US
thesis.degree.disciplineRenewable Natural Resourcesen_US
thesis.degree.disciplineGraduate Collegeen_US
thesis.degree.nameM.S.en_US
dc.description.notehydrology collectionen_US
refterms.dateFOA2018-06-23T02:13:16Z
html.description.abstractRegression equations were developed relating global, direct, and diffuse solar radiation to: (1) potential solar radiation, (2) solar elevation, and (3) the proportion of sky covered by specific cloud genera or by opaque and transparent clouds, on both an hourly and a daily basis. The equations were synthesized from source data collected at two sites in the ponderosa pine forests of Arizona. A subroutine was developed from the derived equations to be used in conjunction with a computer model that simulates snowmelt processes. The subroutine predicts the amount of solar radiation impinging upon a snowpack from cloud cover, when actual measurements are unavailable. Sources of cloud cover information for input to the subroutine are also discussed.


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