simulateP: Simulates precipitation and temperature sequence.

In valeriyafilipova/StochasticPQRUT: Functions for Stochastic PQRUT

Description

First, values with daily time resoultion are simulated using either GP or exponential distribution, then temporal patterns are used to disaggregate the values By default it uses parallel processing using 4 cores

Usage

simulateP(pathmain = NULL, Nsim, durt, distfunc, Pexp, hyet, TempSeq,
  ncl = 4, writeResults = FALSE, PDFplots = FALSE)

Arguments

pathmain	path to files, not needed if writeResults=FALSE
Nsim	number of simulations
durt	critical duration
distfunc	statistical distribution :GP or Exponential
Pexp	parameters of the fitted rainfall distribution not needed if writeResults=TRUE
hyet	list of dataframes of hyetographs for each season, output from stormp not needed if writeResults=TRUE @param TempSeq list of dataframes of temperature series for each season, output from temprsim not needed if writeResults=TRUE @param ncl number of cluster, used for parallel processing

Value

a matrix with each column giving the P/T sequence for a flood event

Examples

## Not run: 
h=simulateP(Nsim=1000,durt=24,distfunc="GP",hyet=h,TempSeq=h1,Pexp=d$par,writeResults=FALSE,PDFplots=FALSE)

## End(Not run)

valeriyafilipova/StochasticPQRUT documentation built on May 26, 2019, 5:34 a.m.