作者: Thomas M. Over , Vijay K. Gupta
DOI: 10.1175/1520-0450(1994)033<1526:SAOMRD>2.0.CO;2
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摘要: Abstract Under the theory of independent and identically distributed random cascades, probability distribution cascade generator determines spatial ensemble properties rainfall. Three sets radar-derived rainfall data in space time are analyzed to estimate generator. A detailed comparison between instantaneous scans simulated cascades using scaling marginal moments is carried out. This highlights important similarities differences theory. Differences quantified measured for three datasets. Evidence presented show that can be captured first order by a with single parameter. The dependence this parameter on forcing large-scale meteorological conditions, as average rain rate, investigated these da...