Hi Saurabh 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] -Ansley On 6/30/2016 7:31 AM, saurabh rathore wrote:
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