1987
DOI: 10.1016/0038-092x(87)90015-6
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A monthly probability distribution function of daily global irradiation values appropriate for both tropical and temperate locations

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Cited by 64 publications
(37 citation statements)
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“…Moreover, the universal character of the Liu and Jordan CDF must be questioned since these distributions were established from locations in North America. In fact, they differ appreciably from the data for other climates as reported by Olseth and Skartveit (1984), Gupta et al (1979) and Saunier et al (1987). In particular, the CDF for tropical climates exhibit a more pronounced S-shape than for temperate climates, a consequence of more pronounced peaks in the corresponding PDF.…”
Section: Introductioncontrasting
confidence: 72%
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“…Moreover, the universal character of the Liu and Jordan CDF must be questioned since these distributions were established from locations in North America. In fact, they differ appreciably from the data for other climates as reported by Olseth and Skartveit (1984), Gupta et al (1979) and Saunier et al (1987). In particular, the CDF for tropical climates exhibit a more pronounced S-shape than for temperate climates, a consequence of more pronounced peaks in the corresponding PDF.…”
Section: Introductioncontrasting
confidence: 72%
“…This is not surprising since in deriving the CDF from the PDF, the integration process and normalization condition tend to smoothen the pattern details of the PDF. Thus, as rightly pointed out by Saunier et al (1987), the ability to reproduce the Liu and Jordan CDF may not be a stringent enough condition when deducing the appropriate PDF. Moreover, the universal character of the Liu and Jordan CDF must be questioned since these distributions were established from locations in North America.…”
Section: Introductionmentioning
confidence: 93%
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“…These so-called, 'generalised radiation' distribution curves attracted much interest at the time. Although subsequent research [4,5] suggested the frequency of insolation to be a function of local weather conditions, time-of-year etc., the authors' contribution is still useful due to the reduction in parameters resulting from a single set of 'universal' cumulative frequency distributions.…”
Section: Introductionmentioning
confidence: 99%