cdtENSOAnalysis_netcdf: ENSO seasonal climate variable analysis.

In rijaf-iri/CDT: Climate Data Tools

ENSO seasonal climate variable analysis.

Description

Probability of seasonal climate variable tercile conditioned on ENSO.

Usage

cdtENSOAnalysis_netcdf(
  seasonal.data,
  seasonal.class,
  enso.index,
  min.frac = 0.5
)

Arguments

seasonal.data	seasonal data, output from cdtComputeSeasonal_netcdf.
seasonal.class	character vector of length 3, indicating the tercile class of the season. Examples, Temperature: c("Cold", "Normal", "Hot") Precipitation: c("Dry", "Normal", "Wet")
enso.index	Oceanic Nino Index (ONI) data, output from oni.cpc.ncep.noaa or oni.iridl.ldeo.
min.frac	used to compute the probability of each ENSO phase, minimum fraction of non-missing values for each ENSO phase.

Value

A named list

Examples

## Not run: 
library(CDT)

## Compute seasonal temperature average
seas_data <- cdtComputeSeasonal_netcdf(
    season.def = list(start.year = 1981, end.year = 2020,
                      start.month = 12, season.length = 3),
    netcdf.data = list(time.step = "dekadal",
                       dir = "~/DATA/TMAX/MERGED_tmax_dekad",
                       format = "tmax_mrg_%s%s%s_ALL.nc",
                       varid = "temp", ilon = 1, ilat = 2),
    season.min.frac = 0.95,
    aggregation.fun = "mean"
)

## ONI from CDT internal data
enso_index <- oni.cpc.ncep.noaa(12, 3)

## compute and download ONI from IRI Data Library
# enso_index <- oni.iridl.ldeo(1981, 3)

seas_class <- c("Cold", "Normal", "Hot")
enso_data <- cdtENSOAnalysis_netcdf(seas_data, seas_class, enso_index, 0.8)

library(fields)
image.plot(enso_data$lon, enso_data$lat, enso_data$enso$LaNina$Hot)
image.plot(enso_data$lon, enso_data$lat, enso_data$enso$Neutral$Cold)
image.plot(enso_data$lon, enso_data$lat, enso_data$enso$ElNino$Normal)

## End(Not run)

rijaf-iri/CDT documentation built on July 3, 2024, 2:54 a.m.