DailyQMapAll: Quantile mapping bias-correction

In rSQM: Statistical Downscaling Toolkit for Climate Change Scenario using Non Parametric Quantile Mapping

Description

Do bias-correction using quantile mapping ans save the bias-corrected outputs for each weather station.

Usage

DailyQMapAll(stndir, stnfile, qmapdir, prjdir, SimAll, RcpNames, VarNames,
  syear_obs, eyear_obs, syear_his, eyear_his, syear_scn, eyear_scn, OWrite,
  SRadiation)

Arguments

stndir	directory path for station information file
stnfile	file name for station information
qmapdir	directory path for bias-corrected output files
prjdir	directory path for project
SimAll	logical. TRUE then process goes over all the senarios available
RcpNames	Rcp names to be uses such as rcp45, rcp85
VarNames	variable to be used such as prcp(precipitation), tmax/tmin, solor radiation, wind etc
syear_obs	start year of observation data
eyear_obs	end year of observation data
syear_his	start year of historical period
eyear_his	end year of historical period
syear_scn	start year of climate change scenario
eyear_scn	end year of climate change scenario
OWrite	Flag for overwriting output files (T: Overwrite, F: Skip)
SRadiation	Flag for calculating solar radiation (T: Calculate, F: Skip)

Examples

## Not run: 
## Step 0. Load sample project
rSQMSampleProject() 

## Step 1. Set working environment
EnvList <- SetWorkingEnvironment(envfile = "rSQM.yaml")

## Step 2. Load climate scenario data
LoadCmip5DataFromAdss(dbdir = EnvList$dbdir, NtlCode = EnvList$NtlCode)

## Step 3. Extract daily time series
DailyExtractAll(
cmip5dir = EnvList$cmip5dir,
stndir = EnvList$stndir,
stnfile = EnvList$stnfile,
qmapdir = EnvList$qmapdir,
SimAll = EnvList$SimAll,
ModelNames = EnvList$ModelNames,
RcpNames = EnvList$RcpNames,
VarNames = EnvList$VarNames,
OWrite = EnvList$OWrite)

## Step 4. Bias-correction by simple quantile mapping
DailyQMapAll(
  stndir = EnvList$stndir,
  stnfile = EnvList$stnfile,
  qmapdir = EnvList$qmapdir,
  prjdir = EnvList$prjdir,
  SimAll = EnvList$SimAll,
  RcpNames = EnvList$RcpNames,
  VarNames = EnvList$VarNames,
  syear_obs = EnvList$syear_obs,
  eyear_obs = EnvList$eyear_obs,
  syear_his = EnvList$syear_his,
  eyear_his = EnvList$eyear_his,
  syear_scn = EnvList$syear_scn,
  eyear_scn = EnvList$eyear_scn,
  OWrite = EnvList$OWrite,
  SRadiation = EnvList$SRadiation) 

## End(Not run)

rSQM documentation built on May 2, 2019, 4:14 a.m.