Due to a limited availability of observed highresolution precipitation records with adequate length, simulations with stochastic precipitation models are used to generate series for subsequent studies [e.g. Khaliq and Cunmae, 1996, <doi:10.1016/00221694(95)028943>, Vandenberghe et al., 2011, <doi:10.1029/2009WR008388>]. This package contains an R implementation of the original BartlettLewis rectangular pulse model (BLRPM), developed by RodriguezIturbe et al. (1987) <doi:10.1098/rspa.1987.0039>. 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 threelayer plot including an overview of generated storms and cells by the model (which can also be plotted individually), a continuous stepfunction and a discrete precipitation time series at a chosen aggregation level.
Package details 


Author  Christoph Ritschel 
Maintainer  Christoph Ritschel <[email protected]> 
License  GPL (>= 2) 
Version  1.0 
Package repository  View on CRAN 
Installation 
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