dacc (version 0.0-6)

fpPrep: Process netCDF4 Gridded Data into Format of the fingerprint() Function

Description

This function detects the signal factors on the observed data via total least square linear regression model.

Usage

fpPrep(
  datafile,
  variable,
  region = "GL",
  target.year,
  average = 5,
  reference = c(1961, 1990),
  regridding = NULL
)

Value

a dataset of the processed gridded climate variables for Y, Xtilde or control runs

Arguments

datafile

path to the netCDF4 gridded datafile to be processed

variable

the climate variable to be extracted

region

the longitude and latitude boundary for selected region, should match the format of IPCC AR6 regions, the lon and lat of the vertices

target.year

vector of length 2, the starting and ending year of the selected time period for D&A analysis

average

number of years for average on each gridbox, default is 5-year average

reference

vector of length 2, the starting and ending year of reference time period for computing anomalies

regridding

whether the grid box should be regridded. Specify the size of the grid box, e.g., c(40, 30) for \(40^\circ \times 30^\circ\) grid box. If no regridding, leave empty

Author

Yan Li