BLRPM
1.0Stochastic Rainfall Generator Bartlett-Lewis Rectangular Pulse Model
Overview
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, doi:10.1016/0022-1694(95)02894-3, Vandenberghe et al., 2011, doi:10.1029/2009WR008388]. This package contains an R implementation of the original Bartlett-Lewis rectangular pulse model (BLRPM), developed by Rodriguez-Iturbe 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 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.
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- NOTE2026-03-1012 OK · 2 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
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1 release. R releases are shown for context.
- archivedRemoved from CRAN2026-05-27email to the maintainer is undeliverable
- RR 4.6.0 released · 2026-04-24
- 1.02026-03-10
- RR 4.5.0 released · 2025-04-11
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- Total releases
- 1
- License
- GPL (>= 2) OSI
- Download size
- 15 KB
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