initconditions: Simulates initial conditions

In valeriyafilipova/StochasticPQRUT: Functions for Stochastic PQRUT

Description

Simulates initial conditions (initial Q, soil moisture deficit and SWE). The procedure uses truncated mulivariate normal distribution to simulate values between the minimum and maximum observed. The values for initial Q and soil moisture deficit are first log transformed.

Usage

initconditions(pathmain = NULL, incondFt, incondWt, incondSpt, incondSt, Nsim,
  durt, writeResults = TRUE, PDFplots = TRUE)

Arguments

pathmain	path to files , not needed if writeResults=FALSE
incondFt, incondWt, incondSpt, incondSt	dataframes that contain the POT for each season
Nsim	Number of simulation
durt	critical duration

Value

if writeResults is TRUE the results are saved in the directory pathmain if FALSE a list that contains dataframes of initial conditions (SWE,soil moisture deficit and initial discharge ) for events for each season is returned

Examples

## Not run: 
g=initconditions(incondFt=b$ntp1F,incondWt=b$ntp1W,incondSpt=b$ntp1Sp,incondSt=b$ntp1S, Nsim=10000,durt=a$d,writeResults=FALSE,PDFplots=TRUE)

## End(Not run)

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