prepareNewData: Prepare newdata for predictions

In SantanderMetGroup/downscaleR: A climate4R package for statistical downscaling <http://meteo.unican.es/climate4r>

Prepare newdata for predictions

Description

Prepare the prediction data according to the definition of the experiment

Usage

prepareNewData(newdata, data.structure)

Arguments

newdata	A grid containing the prediction data.
data.structure	A structure, as returned by prepareData

Value

A named list with the components required by the downscaling method in order to perform the predictions

Author(s)

J Bedia

See Also

downscaleR Wiki for preparing predictors for downscaling and seasonal forecasting.

Other downscaling.helpers: predictor.nn.indices(), predictor.nn.values(), prepareData()

Examples

require(transformeR)
require(climate4R.datasets)
# Loading data
data("VALUE_Iberia_tas")
y <- VALUE_Iberia_tas 
data("NCEP_Iberia_hus850", "NCEP_Iberia_psl", "NCEP_Iberia_ta850")
x <- makeMultiGrid(NCEP_Iberia_hus850, NCEP_Iberia_psl, NCEP_Iberia_ta850)
# Calculating EOFs
data <- prepareData(x = x, y = y, spatial.predictors = list(v.exp = 0.95))
# Projecting a new dataset to the calculated EOFs
newdata <- prepareNewData(x,data)

SantanderMetGroup/downscaleR documentation built on July 4, 2023, 4:28 a.m.