RMAWGEN (R Multi-site Auto-regressive Weather GENerator), a
package to generate daily time series of precipitation and
temperature from monthly mean values
This package contains S3 and S4 functions for spatial
multi-site stochastic generation of daily time series of
temperature and precipitation. The implemented tools make use
of Vector AutoRegressive models (VARs). The VAR is calibrated
by daily instrumental "Gaussianized" time series and then works
with monthly time series as input.
Bugs/comments/questions/collaboration of any kind are warmly
welcome.

'acvWGEN.R' 'adddate.R' 'addsuffixes.R' 'arch_test.varest2.R'
'ComprehensivePrecipitationGenerator.R'
'ComprehensiveTemperatureGenerator.R' 'continuity_ratio.R'
'countNAs.R' 'covariance.R' 'ElevationOf.R' 'extractdays.R'
'extractmonths.R' 'extractTnFromAnomalies.R'
'extractTxFromAnomalies.R' 'extractyears.R' 'findDate.R'
'forecastEV.R' 'forecastResidual.R'
'generateTemperatureTimeseries.R' 'getDailyMean.R'
'getMonthlyMean.R' 'getVARmodel.R' 'GPCA_iteration.R' 'GPCA.R'
'inv_GPCA_iteration.R' 'inv_GPCA.R' 'is.monthly.climate.R'
'NewVAReventRealization.R' 'newVARmultieventRealization.R'
'normality_test.varest2.R' 'normalizeGaussian_prec.R'
'normalizeGaussian.R'
'normalizeGaussian_sevaralstations_prec.R'
'normalizeGaussian_sevaralstations.R' 'plotDailyClimate.R'
'plot.sample.R' 'PrecipitationEndDay.R'
'PrecipitationStartDay.R' 'print.GPCAiteration.R'
'print.GPCA.R' 'qqplot.lagged.R' 'qqplotprecWGEN.R'
'qqplotprecWGEN_seasonal.R' 'qqplotTnTxWGEN.R'
'qqplotTnTxWGEN_seasonal.R' 'qqplotWGEN.R' 'removeNAs.R'
'rescaling_monthly.R' 'residuals.varest2.R' 'RMAWGEN-package.R'
'serial_test.varest2.R'
'setWholeTemperatureGeneratorParameters.R'
'splineInterpolateMonthlytoDailyforSeveralYears.R'
'splineInterpolateMonthlytoDaily.R' 'TemperatureEndDay.R'
'TemperatureStartDay.R' 'VAR_mod.R' 'WhereIs.R'
'zc0_GPCAiteration.R' 'zc0_GPCA.R' 'zc0_varest.R'
'zc1_varest2.R' 'zc2_GPCAvarest2.R'

This package contains S3 and S4 functions for spatial multi-site
stochastic generation of daily time series of temperature and
precipitation. The implemented tools make use of Vector AutoRegressive
models (VARs). The VAR is calibrated by daily instrumental "Gaussianized"
time series and then works with monthly time series as input. Example
script files about its usage are available on "RMAWGENCodeCorner" GitHub
project (see link below). Bugs/comments/questions/collaboration of any kind
are warmly welcome.
https://github.com/ecor/RMAWGENCodeCorner,
https://docs.google.com/file/d/0B66otCUk3Bv6V3RPbm1mUG4zVHc/edit,
http://cri.gmpf.eu/Research/Sustainable-Agro-Ecosystems-and-Bioresources/Dynamics-in-the-agro-ecosystems,
http://presentations.copernicus.org/EGU2012-14026_presentation.pdf,
http://presentations.copernicus.org/EGU2012-5404_presentation.pdf