prepare_sad: prepare a sad forecast for verification

In sad: Verify the Scale, Anisotropy and Direction of Weather Forecasts

Description

remove small values, apply log-transform, smooth borders, handle boundary conditions

Usage

prepare_sad(x, xmin = 0.1, log = TRUE, rsm = 0, Nx = NULL,
  Ny = NULL, boundaries = "pad")

Arguments

x	a list of 2 or more 2D matrices with equal sizes and no missing or inifinite values, as required by as.sadforecast
xmin	values smaller than xmin are set to zero
log	logical, do you want to log-transfrom the data? (recommended for precipitation)
rsm	number of pixels which are linearly smoothed at the edge
Nx	size to which the data is extended in x-direction
Ny	size to which the data is extended in y-direction
boundaries	how to handle the boundary conditions, either "pad", "mirror" or "periodic"

Details

the positions within the extended field where the original field resides are output as attributes "px", "py" of the result. The other input parameters are saved as attributes of the result as well.

Value

an object of class sadforecast which has been prepared in the desired way.

Examples

data( rrain )
ra <- list( rrain[2,4,,], rrain[3,9,,] )
ra <- prepare_sad( ra, rsm=0, Nx=256, boundaries="mirror", log=FALSE )
plot(ra)

sad documentation built on Nov. 8, 2020, 4:25 p.m.