DailyExtractAll: Extract daily time series

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

Description

Extract daily time series for every combination of varialbes, GCM models, and RCP scenarios as text format

Usage

DailyExtractAll(cmip5dir, stndir, stnfile, qmapdir, SimAll, ModelNames,
  RcpNames, VarNames, OWrite)

Arguments

cmip5dir	directory name contating daily CMIP5 data as NetCDF format
stndir	directory name contating station information file
stnfile	file name for station information
qmapdir	directory name for storing extracted daily time series output
SimAll	logical. TRUE then process goes over all the senarios available
ModelNames	string vector contains climate change scenario models to be used
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
OWrite	Flag for overwriting output files (T: Overwrite, F: Skip)

Examples

## Not run: 
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)

## End(Not run)

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