📰 Custom Issue

Hello :)

I have a cube containing 4 full years of daily data. Using aggregated_by, I aggregate the cube using a "day" and "month" coordinate. This produces a daily climatology with time points that start in July 🤯 (the bounds are as expected).

Mathematically, this makes sense, since the mean of, e.g. (Jan 1, 2000), (Jan 1, 2001), (Jan 1, 2002) and (Jan 1, 2003) is in July 2001.

However, scientifically, this doesn't make sense, since a scientist would expect the first time point of a daily climatology created as above to be Jan 1.

The CF conventions state (at the end of paragraph 2 in Section 7.4): "The time coordinates should be values that are representative of the climatological time intervals, such that an application which does not recognise climatological time will nonetheless be able to make a reasonable interpretation.". I'm not sure this is happening in this case.

Would it be better to set the time points in the climatology file such that they are more representative of the climatological time intervals?