# CST_AdamontQQCorr computes quantile-quantile correction of seasonal or decadal forecast data using weather types This function computes a quantile mapping based on weather types for experiment data (typically a hindcast) onto reference `obs`, typically provided by reanalysis data. ```r CST_AdamontQQCorr( exp, wt_exp, obs, wt_obs, corrdims = c("member", "sdate", "ftime"), londim = "lon", latdim = "lat" ) ``` ## Arguments - `exp`: Experiment data an object of class `s2dv_cube`. - `wt_exp`: Corresponding weather types (same dimensions as `exp$data` but lat/lon). - `obs`: Reference data, also of class `s2dv_cube`. lat/lon dimensions can differ from `exp` if non rectilinear latlon grids are used, in which case regrid should be set to TRUE and .NearestNeighbors `NN` output should be provided. - `wt_obs`: Corresponding weather types (same dimensions as `obs` but lat/lon). - `corrdims`: List of dimensions in `exp` for which quantile mapping correction is applied. - `londim`: Character name of longitude dimension in `exp` and `obs`. - `latdim`: Character name of latitude dimension in `exp` and `obs`. ## Returns An object of class `s2dv_cube` containing experiment data on the lat/lon grid of `obs` input data, corrected by quantile mapping depending on the weather types `wt_exp`. ## Examples ```r wt_exp <- c(1,1,2,3,3,2,2,1,1,2,2,3) dim(wt_exp) <- c(dataset = 1, member = 1, sdate = 4, ftime = 3) wt_obs <- c(3,3,1,2,2,2,2,1,3,1,1,2) dim(wt_obs) <- c(dataset = 1, member = 1, sdate = 4, ftime = 3) exp <- NULL exp$data <- 1 : c(1 * 1 * 4 * 3 * 4 * 4) dim(exp$data) <- c(dataset = 1, member = 1, sdate = 4, ftime = 3, lat = 4, lon = 4) class(exp) <- 's2dv_cube' obs <- NULL obs$data <- 101 : c(100 + 1 * 1 * 4 * 3 * 4 * 4) dim(obs$data) <- c(dataset = 1, member = 1, sdate = 4, ftime = 3, lat = 4, lon = 4) class(obs) <- 's2dv_cube' exp_corr <- CST_AdamontQQCorr(exp = exp, wt_exp = wt_exp, obs = obs, wt_obs = wt_obs, corrdims = c('dataset','member','sdate','ftime')) ``` ## Author(s) Lauriane Batté, lauriane.batte@meteo.fr Paola Marson, paola.marson@meteo.fr Gildas Dayon, gildas.dayon@meteo.fr

CST_AdamontQQCorr function