fpPrep {dacc} | R Documentation |
This function detects the signal factors on the observed data via total least square linear regression model.
fpPrep(
datafile,
variable,
region = "GL",
target.year,
average = 5,
reference = c(1961, 1990),
regridding = NULL
)
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 |
a dataset of the processed gridded climate variables for Y, Xtilde or control runs
Yan Li