Raster to rasterbrick does not preserve Date/Time

Hi,

I'm not sure about reading the datetime stamp directly form the file, but
you have enough info to convert the z-value which is well described in your
ncdf.  I'm not familiar with the '%.f' format specifier, but it looks like
it is a fractional day.  Something like this perhaps will work?

z      <- raster::getZ(rbick)
z0     <- floor(z)
zf     <- z - z0
dt     <- as.POSIXct(as.character(z0), format = "%Y%m%d") + 24*60*60*zf
rbrick <- raster::setZ(rbrick, z, name = 'datetime')

You'll need to think through the timezone issues that might arise.
as.POSIXct() has arguments that can help you with that.

Cheers,
Ben

On Nov 4, 2018, at 12:39 PM, Miluji Sb <milujisb at gmail.com> wrote:

Dear all,

I have a raster with multiple variables and date/time information;

     time  Size:17164   *** is unlimited ***
           standard_name: time
           bounds: time_bnds
           units: day as %Y%m%d.%f
           calendar: proleptic_gregorian
       bnds  Size:2

My goal is to convert the raster file to rasterbrick for extraction
purposes;

rbrick <- brick(r,  values=TRUE, varname="var1")

However, after conversion - the date/time information is not preserved.

How

can I preserve this information?

class       : RasterBrick
dimensions  : 600, 1440, 864000, 17164  (nrow, ncol, ncell, nlayers)
resolution  : 0.25, 0.25  (x, y)
extent      : -180, 180, -60, 90  (xmin, xmax, ymin, ymax)
coord. ref. : +proj=longlat +datum=WGS84 +ellps=WGS84 +towgs84=0,0,0
data source : /work/ncfile.nc4
names       : X19700101.4375, X19700102.4375, X19700103.4375,
X19700104.4375, X19700105.4375, X19700106.4375, X19700107.4375,
X19700108.4375, X19700109.4375, X19700110.4375, X19700111.4375,
X19700112.4375, X19700113.4375, X19700114.4375, X19700115.4375, ...
z-value     : 19700101.4375, 20161231.4375 (min, max)
varname     : var1

Any help will be greatly appreciated!

Sincerely,

Milu

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Ben Tupper
Bigelow Laboratory for Ocean Sciences
60 Bigelow Drive, P.O. Box 380
East Boothbay, Maine 04544
http://www.bigelow.org

Ecological Forecasting: https://eco.bigelow.org/