2016
DOI: 10.1016/j.jqsrt.2016.06.024
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Application of general invariance relations reduction method to solution of radiation transfer problems

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Cited by 10 publications
(15 citation statements)
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“…Please note the considered atmospheric scenarios implicitly involve a set of assumptions which causes differences between RTM calculations and actual (physically realistic) atmospheric conditions. Furthermore, the discrete ordinate method itself is an approximate technique which in principle should be validated against rigorous analytical methods [46]. However, we use the same atmospheric definition inputs for comparing acceleration techniques.…”
Section: Accuracy Of the Clsr And Pca-based Methodsmentioning
confidence: 99%
“…Please note the considered atmospheric scenarios implicitly involve a set of assumptions which causes differences between RTM calculations and actual (physically realistic) atmospheric conditions. Furthermore, the discrete ordinate method itself is an approximate technique which in principle should be validated against rigorous analytical methods [46]. However, we use the same atmospheric definition inputs for comparing acceleration techniques.…”
Section: Accuracy Of the Clsr And Pca-based Methodsmentioning
confidence: 99%
“…5 and Fig. 6 of Rogovtsov and Borovik (2016) indicate that the two data sets are in close agreement.…”
Section: Discussionmentioning
confidence: 55%
“…Table A.2 shows the values of plane albedo A pl (µ, ̟ 0 ) obtained for 6 values of ̟ 0 and 14 values of µ using the Henyey-Greenstein phase function with g = 0.989. The differences ∆ by one unit in the last digit of A pl (µ) are found at 14 locations in comparison with the values given in Table 2 of Rogovtsov and Borovik (2016). Also shown in the bottom row are the corresponding values of the spherical albedo A sp (̟ 0 ).…”
Section: Discussionmentioning
confidence: 78%
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