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Article: δ -Fit: A fast and accurate treatment of particle scattering phase functions with weighted singular-value decomposition least-squares fitting

Titleδ -Fit: A fast and accurate treatment of particle scattering phase functions with weighted singular-value decomposition least-squares fitting
Authors
Issue Date2000
PublisherPergamon. The Journal's web site is located at http://www.elsevier.com/locate/jqsrt
Citation
Journal of Quantitative Spectroscopy and Radiative Transfer, 2000, v. 65 n. 4, p. 681-690 How to Cite?
AbstractWith a limited number of polynomial terms (so-called "streams"), there are significant differences between a phase function and its Legendre polynomial expansion at large scattering angles, which are important to satellite observations. This study finds that while it takes hundreds of Legendre polynomial expansion terms to simulate the backscattering portion of cloud phase functions accurately, the backscattered radiance pattern can be accurately estimated with only 30 Legendre polynomial expansion terms by replacing the regular Legendre polynomial expansion coefficients by coefficients obtained by a weighted singular-value decomposition least-squares fitting procedure. Thus the computing time can be significantly reduced. For satellite remote-sensing purposes, the weighted least-squares Legendre polynomial fitting is an optimal estimation of the cloud phase function. © 2000 Elsevier Science B.V.
Persistent Identifierhttp://hdl.handle.net/10722/90827
ISSN
2015 Impact Factor: 2.859
2015 SCImago Journal Rankings: 1.151
References

 

DC FieldValueLanguage
dc.contributor.authorHu, Y-Xen_HK
dc.contributor.authorWielicki, Ben_HK
dc.contributor.authorLin, Ben_HK
dc.contributor.authorGibson, Gen_HK
dc.contributor.authorTsay, S-Cen_HK
dc.contributor.authorStamnes, Ken_HK
dc.contributor.authorWong, Ten_HK
dc.date.accessioned2010-09-17T10:08:59Z-
dc.date.available2010-09-17T10:08:59Z-
dc.date.issued2000en_HK
dc.identifier.citationJournal of Quantitative Spectroscopy and Radiative Transfer, 2000, v. 65 n. 4, p. 681-690en_HK
dc.identifier.issn0022-4073en_HK
dc.identifier.urihttp://hdl.handle.net/10722/90827-
dc.description.abstractWith a limited number of polynomial terms (so-called "streams"), there are significant differences between a phase function and its Legendre polynomial expansion at large scattering angles, which are important to satellite observations. This study finds that while it takes hundreds of Legendre polynomial expansion terms to simulate the backscattering portion of cloud phase functions accurately, the backscattered radiance pattern can be accurately estimated with only 30 Legendre polynomial expansion terms by replacing the regular Legendre polynomial expansion coefficients by coefficients obtained by a weighted singular-value decomposition least-squares fitting procedure. Thus the computing time can be significantly reduced. For satellite remote-sensing purposes, the weighted least-squares Legendre polynomial fitting is an optimal estimation of the cloud phase function. © 2000 Elsevier Science B.V.en_HK
dc.languageengen_HK
dc.publisherPergamon. The Journal's web site is located at http://www.elsevier.com/locate/jqsrten_HK
dc.relation.ispartofJournal of Quantitative Spectroscopy and Radiative Transferen_HK
dc.titleδ -Fit: A fast and accurate treatment of particle scattering phase functions with weighted singular-value decomposition least-squares fittingen_HK
dc.typeArticleen_HK
dc.identifier.emailLin, B:blin@hku.hken_HK
dc.description.naturelink_to_subscribed_fulltext-
dc.identifier.scopuseid_2-s2.0-0003700943en_HK
dc.relation.referenceshttp://www.scopus.com/mlt/select.url?eid=2-s2.0-0003700943&selection=ref&src=s&origin=recordpageen_HK
dc.identifier.volume65en_HK
dc.identifier.issue4en_HK
dc.identifier.spage681en_HK
dc.identifier.epage690en_HK

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