Nothing
ReadFiles <-
function( working_dir, ID, dates, tz)
{
combine.file.name <- paste("Rcombined_", ID, ".txt", sep="")
dump.file.name <- paste("tdump_", ID, "_", "*", sep="")
# find tdump files
files <- list.files(path = working_dir, pattern = paste("tdump_", ID, sep=""))
output <- file(combine.file.name, 'w')
if(length(dates) != length(files)){
print(length(dates))
print(length(files))
# cleanWD(hy.path, ID)
stop("Please, make sure that all required meteorological files are available. Also, delete
all folders that starts with \"process_\".")
}
# read through them all, ignoring 1st 7 lines
for (i in files){
input <- readLines(i)
input <- input[-c(1:7)] # delete header
writeLines(input, output)
}
close(output)
# read the combined txt file
traj <- read.table(file.path(working_dir, combine.file.name),
header = FALSE)
traj <- subset(traj, select = -c(2, 7, 8))
traj <- rename(traj, c(V1 = "receptor", V3 = "year", V4 = "month", V5 = "day",
V6 = "hour", V9 = "hour.inc", V10 = "lat", V11 = "lon",
V12 = "height", V13 = "pressure"))
# hysplit uses 2-digit years ...
year <- traj$year[1]
if (year < 50) {
traj$year <- traj$year + 2000
} else {
traj$year <- traj$year + 1900
}
# Setup the Canada, ON timezone
traj$date2 <- with(traj, ISOdatetime(year, month, day, hour, min = 0,
sec = 0, tz = tz))
# arrival time
traj$date <- traj$date2 - 3600 * traj$hour.inc
traj
}
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