Copula‐based daily rainfall disaggregation model

摘要: [1] A daily rainfall disaggregation model, which uses a copula to model the dependence structure between total depth, duration of wet periods, and maximum proportional depth period, is presented. The wet(1)-dry(0) binary sequence modeled by nonrandomized Bartlett-Lewis with diurnal effect incorporated before superimposing AR(1) process submodel. Unlike previous studies, structured such that all day data available are considered in analysis, without need discard any good quality embedded month having some missing data. This increased size, thus improving modeling process. Further, classified according periods within day. In this way large proportion parameters become seasonal invariant, overriding factor being periods. potential developed has been demonstrated disaggregating both set used developing also 12 year continuous not parameterization. Gross statistics several aggregation levels down 6 min have very well reproduced model. variation submodel captured presented