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  1. compute the monthly mean temperature field.
  2. notice that the data contains two different time steps: 00:00 and 12:00. Monthly means are normally computed separately for each time step. Separate the data into the two different time steps and compute the mean field for each (hint: use the Grib Filter icon and its equivalent macro code). The end result should be two fields - one is the mean of all the 00:00 fields and the other is the mean of all the 12:00 fields.
  3. for each of the original fields, compute the difference between it and the corresponding mean field for that time step. Plot it with Contouring icons appropriate for showing temperature anomalies.

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