readDWD.asc {rdwd} | R Documentation |
read dwd gridded radolan asc data
Description
read grid-interpolated radolan asc data.
Intended to be called via readDWD()
.
All layers (following selection
if given) in all .tar.gz files are
combined into a terra raster with terra::rast()
.
To project the data, use projectRasterDWD()
Usage
readDWD.asc(
file,
exdir = NULL,
dividebyten = TRUE,
selection = NULL,
quiet = rdwdquiet(),
progbar = !quiet,
...
)
Arguments
file |
Name of file on harddrive, like e.g.
DWDdata/grids_germany/hourly/radolan/historical/asc/
2018_RW-201809.tar.
Must have been downloaded with |
exdir |
Directory to unzip into. Unpacked files existing therein
will not be untarred again, saving up to 15 secs per file.
DEFAULT: NULL (subfolder of |
dividebyten |
Divide numerical values by 10? See readDWD.
If dividebyten=FALSE and exdir left at NULL (tempdir), save
the result on disc with |
selection |
Optionally read only a subset of the ~24*31=744 files.
Called as |
quiet |
Suppress progress messages?
DEFAULT: FALSE through |
progbar |
Show progress bars? |
... |
Further arguments passed to |
Value
data.frame
Author(s)
Berry Boessenkool, berry-b@gmx.de, April 2019
See Also
Examples
## Not run: # Excluded from CRAN checks, but run in localtests
# File selection and download:
radbase <- paste0(gridbase,"/hourly/radolan/historical/asc/")
radfile <- "2018/RW-201809.tar" # 25 MB to download
file <- dataDWD(radfile, base=radbase, joinbf=TRUE, read=FALSE)
#asc <- readDWD(file) # 4 GB in mem. ~ 20 secs unzip, 10 secs read, 2 min divide
asc <- readDWD(file, selection=1:5, dividebyten=TRUE)
plotRadar(asc[[1]], main=names(asc)[1])
viddir <- paste0(tempdir(),"/RadolanVideo")
dir.create(viddir)
png(paste0(viddir,"/Radolan_%03d.png"), width=7, height=5, units="in", res=300)
plotRadar(asc, layer=1:3, main=names(asc)) # 3 secs per layer
dev.off()
berryFunctions::openFile(paste0(viddir,"/Radolan_001.png"))
# Time series of a given point in space:
plot(unlist(asc[800,800,]), type="l", xlab="Time [hours]")
# if dividebyten=FALSE, terra stores things out of memory in the exdir.
# by default, this is in tempdir, hence you would need to save asc manually:
# terra::writeRaster(asc, tempfile(fileext="/RW2018-09.gpkg"), overwrite=TRUE)
## End(Not run)