Nothing
yseasx_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"
}
date_time <- get_date_time(file_data$dimension_data$t, file_data$time_info$units)
months_all <- date_time$months
months_unique <- sort(unique(months_all))
years_all <- date_time$years
years_unique <- sort(unique(years_all))
seasons <- set_seasons(years_unique, years_all, 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$y),
1)
)
time_bnds <- get_time_bounds_1(
file_data$dimension_data$t
)
vars_data <- list(result = data_placeholder, time_bounds = time_bnds)
nc_format <- get_nc_version(nc34)
cmsaf_info <- switch(
op,
paste0("cmsafops::yseasmax for variable ", file_data$variable$name),
paste0("cmsafops::yseasmin for variable ", file_data$variable$name),
paste0("cmsafops::yseasmean for variable ", file_data$variable$name),
paste0("cmsafops::yseassd for variable ", file_data$variable$name)
)
##### prepare output #####
global_att_list <- names(file_data$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$y,
time_data = 0,
NB2,
file_data$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 #####
if (!is.null(nc)) nc_in <- nc
else nc_in <- nc_open(infile)
nc_out <- nc_open(outfile, write = TRUE)
dummy_vec <- seq_along(months_all)
count <- 1
for (season in seasons) {
mon_dummy <- season
if (!sum(is.finite(mon_dummy)) >= 3) {
if (verbose) message("Not enough data to calculate a seasonal maximum!")
next()
}
dum_dat <- array(NA, dim = c(length(file_data$dimension_data$x),
length(file_data$dimension_data$y),
length(mon_dummy)))
for (i in seq_along(mon_dummy)) {
if (!is.na(mon_dummy[i])) {
dum_dat[, , i] <- ncvar_get(nc_in, file_data$variable$name, start = c(1, 1, mon_dummy[i]), count = c(-1, -1, 1), collapse_degen = FALSE)
}
}
switch(op,
{
if (verbose) message(paste0("apply multi-year seasonal maximum ", count, " of 4"))
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 seasonal minimum ", count, " of 4"))
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 seasonal mean ", count, " of 4"))
data <- rowMeans(dum_dat, dims = 2, na.rm = TRUE)
},
{
if (verbose) message(paste0("apply multi-year seasonal standard deviation ", count, " of 4"))
data <- apply(dum_dat, c(1, 2), stats::sd, na.rm = TRUE)
}
)
data[is.na(data)] <- file_data$variable$attributes$missing_value
tdum <- min(file_data$dimension_data$t[mon_dummy], na.rm = TRUE)
time_bnds[1, 1] <- min(file_data$dimension_data$t[mon_dummy], na.rm = TRUE)
time_bnds[2, 1] <- max(file_data$dimension_data$t[mon_dummy], na.rm = TRUE)
ncvar_put(nc_out, vars[[1]], data, start = c(1, 1, count), count = c(-1, -1, 1))
ncvar_put(nc_out, dims$t, tdum, start = count, count = 1)
ncvar_put(nc_out, vars[[2]], time_bnds, start = c(1, count), count = c(-1, 1))
count <- count + 1
}
if (is.null(nc)) nc_close(nc_in)
calc_time_end <- Sys.time()
if (verbose) message(get_processing_time_string(calc_time_start, calc_time_end))
}
Any scripts or data that you put into this service are public.
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.