Add 2d variance metrics to reservoir training #2361
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This adds scalar metrics for the mean vertically-summed grid-scale variance of outputs in the x, y plane. Since the prognostic run reservoir predictions have issues with too much grid-scale noise in column-integrated quantities, I would like to see how the hyperparameters affect this in offline evaluation. I don't have area or pressure thicknesses saved in the data, so this is a very rough way of estimated the variance in column-integrated quantities.
During synchronization of the reservoir the
_rc_outprecipitable water field has a higher variance than the_hyb_infield, which suggests that this should be visible in offline evaluation.