rSQM (version 1.3.14)

DailyExtractAll: Extract daily time series

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)
# }