rainPOT: Fit precipitation model

In valeriyafilipova/StochasticPQRUT: Functions for Stochastic PQRUT

Description

Fits the GP/Exponential distribution to peak over threshold precipitation data by splitting the data into different seasons

Usage

rainPOT(pathmain = NULL, datarainfall = "P.txt", durt, qFtset = 0.9,
  qWtset = 0.95, qSptset = 0.92, qStset = 0.9, distfunc,
  writeResults = TRUE, PDFplots = TRUE)

Arguments

pathmain	path to file , not needed if writeResults=FALSE
datarainfall	precipitation data; dataframe with columns date ("%Y-%m-%d") and Pr,if writeResults=TRUE path to txt file with columns date and Pr
durt	critical duration in hours
qFtset	quantile threshold for Autumn
qWtset	quantile threshold for Winter
qSptset	quantile threshold for Spring
qStset	quantile threshold for Summer
distfunc	distribution function GP or Exponential
PDFplots	if TRUE pdf file with plots is saved in the same directory

Value

if writeResults is TRUE the results are saved in the directory pathmain if FALSE a list that contains parameters and dataframes that lists the POT for each season is returned

Examples

## Not run: 
d=rainPOT(datarainfall=P,durt=24,qFtset=0.9,qWtset=0.95,qSptset=0.92,qStset=0.9,distfunc="GP",writeResults=FALSE,PDFplots=FALSE)

## End(Not run)

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