BLRPM: Stochastic Rainfall Generator Bartlett-Lewis Rectangular Pulse Model
Version 1.0

Due to a limited availability of observed high-resolution precipitation records with adequate length, simulations with stochastic precipitation models are used to generate series for subsequent studies [e.g. Khaliq and Cunmae, 1996, , Vandenberghe et al., 2011, ]. This package contains an R implementation of the original Bartlett-Lewis rectangular pulse model (BLRPM), developed by Rodriguez-Iturbe et al. (1987) . It contains a function for simulating a precipitation time series based on storms and cells generated by the model with given or estimated model parameters. Additionally BLRPM parameters can be estimated from a given or simulated precipitation time series. The model simulations can be plotted in a three-layer plot including an overview of generated storms and cells by the model (which can also be plotted individually), a continuous step-function and a discrete precipitation time series at a chosen aggregation level.

Getting started

Package details

AuthorChristoph Ritschel
Date of publication2017-10-06 11:42:37 UTC
MaintainerChristoph Ritschel <[email protected]>
LicenseGPL (>= 2)
Package repositoryView on CRAN
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BLRPM documentation built on Oct. 6, 2017, 5:08 p.m.