Nothing
ymonx_wrapper <- function(op, var, infile, outfile, nc34, overwrite, verbose,
nc = NULL) {
calc_time_start <- Sys.time()
check_variable(var)
if (is.null(nc)) check_infile(infile)
check_outfile(outfile)
outfile <- correct_filename(outfile)
check_overwrite(outfile, overwrite)
check_nc_version(nc34)
##### extract data from file #####
file_data <- read_file(infile, var, nc = nc)
if (op > 2) {
file_data$variable$prec <- "float"
}
months_all <- get_date_time(file_data$dimension_data$t, file_data$time_info$units)$months
months_unique <- sort(unique(months_all))
# Use placeholder for result so that it can be calculated later without the
# need to have all input data in memory concurrently.
data_placeholder <- array(
file_data$variable$attributes$missing_value,
dim = c(length(file_data$dimension_data$x),
length(file_data$dimension_data$y),
length(months_unique))
)
time_bnds <- get_time_bounds(
file_data$dimension_data$t, months_all, months_unique
)
vars_data <- list(result = data_placeholder, time_bounds = time_bnds)
nc_format <- get_nc_version(nc34)
cmsaf_info <- switch(
op,
paste0("cmsafops::ymonmax for variable ", file_data$variable$name),
paste0("cmsafops::ymonmin for variable ", file_data$variable$name),
paste0("cmsafops::ymonmean for variable ", file_data$variable$name),
paste0("cmsafops::ymonsum for variable ", file_data$variable$name),
paste0("cmsafops::ymonsd for variable ", file_data$variable$name),
paste0("cmsafops::ymonmedian for variable ", file_data$variable$name)
)
time_data <- time_bnds[1, ]
##### prepare output #####
global_att_list <- names(file_data$global_att)
global_att_list <- global_att_list[toupper(global_att_list) %in% toupper(GLOBAL_ATT_DEFAULT)]
global_attributes <- file_data$global_att[global_att_list]
dims <- define_dims(file_data$grid$is_regular,
file_data$dimension_data$x,
file_data$dimension_data$y,
time_data,
NB2,
file_data$time_info$units)
vars <- define_vars(file_data$variable, dims, nc_format$compression)
write_output_file(
outfile,
nc_format$force_v4,
vars,
vars_data,
file_data$variable$name,
file_data$grid$vars, file_data$grid$vars_data,
cmsaf_info,
file_data$time_info$calendar,
file_data$variable$attributes,
global_attributes
)
##### calculate and write result #####
nc_out <- nc_open(outfile, write = TRUE)
dummy_vec <- seq_along(months_all)
for (j in seq_along(months_unique)) {
mon_dummy <- which(months_all == months_unique[j])
startt <- dummy_vec[mon_dummy]
dum_dat <- array(
NA,
dim = c(length(file_data$dimension_data$x),
length(file_data$dimension_data$y),
length(startt))
)
if (!is.null(nc)) nc_in <- nc
else nc_in <- nc_open(infile)
for (i in seq_along(startt)) {
dum_dat[, , i] <- ncvar_get(
nc_in,
file_data$variable$name,
start = c(1, 1, startt[i]),
count = c(-1, -1, 1),
collapse_degen = FALSE
)
}
if (is.null(nc)) nc_close(nc_in)
switch(op,
{
if (verbose) message(paste0("apply multi-year monthly maximum ", j))
data <- do.call(pmax, c(na.rm = TRUE, lapply(seq_len(dim(dum_dat)[3]), function(i) dum_dat[, , i])))
},
{
if (verbose) message(paste0("apply multi-year monthly minimum ", j))
data <- do.call(pmin, c(na.rm = TRUE, lapply(seq_len(dim(dum_dat)[3]), function(i) dum_dat[, , i])))
},
{
if (verbose) message(paste0("apply multi-year monthly mean ", j))
data <- rowMeans(dum_dat, dims = 2, na.rm = TRUE)
},
{
if (verbose) message(paste0("apply multi-year monthly sum ", j))
data <- rowSums(dum_dat, dims = 2, na.rm = TRUE)
},
{
if (verbose) message(paste0("apply multi-year monthly standard deviation ", j))
data <- apply(dum_dat, c(1, 2), stats::sd, na.rm = TRUE)
},
{
if (verbose) message(paste0("apply multi-year monthly median ", j))
data <- apply(dum_dat, c(1, 2), stats::median, na.rm = TRUE)
}
)
data[is.na(data)] <- file_data$variable$attributes$missing_value
ncvar_put(nc_out, vars[[1]], data, start = c(1, 1, j), count = c(-1, -1, 1))
}
nc_close(nc_out)
calc_time_end <- Sys.time()
if (verbose) message(get_processing_time_string(calc_time_start, calc_time_end))
}
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