This can be done with the "masking" capability.
Take the example in the FAQ on climatologies.
! open a dataset and define the climatology(you'll see some NOTEs about ambiguous coordinates when the 'replace' variable is computed. This is fine.)
So the only thing left is for you to find a way to define a "mask" variable which is on the time axis of SST, and has the value of say, 1 at the times when you want to keep the SST time series data, and 0 when you want to make the replacement.
yes? let replace_var = if mask eq 1 then SST[d=1] else TEMP_CLI[d=2]
On 6/30/2016 7:31 AM, saurabh rathore wrote: