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Since iris==3.3.0, Cube.aggregated_bysupportsweights. This function is used very often in our time-related preprocessors (e.g., annual_statistics, monthly_statistics, daily_statistics, etc.), but currently does not use weights (=length of the time interval).
We could/should add weights to these preprocessors to make them more accurate (e.g., annual_statistics should consider different number of days for different months).
I'll try to tackle this for v2.8, but not sure if I can make it in time.
Since
iris==3.3.0
,Cube.aggregated_by
supportsweights
. This function is used very often in our time-related preprocessors (e.g.,annual_statistics
,monthly_statistics
,daily_statistics
, etc.), but currently does not use weights (=length of the time interval).We could/should add weights to these preprocessors to make them more accurate (e.g.,
annual_statistics
should consider different number of days for different months).I'll try to tackle this for v2.8, but not sure if I can make it in time.
Relies on solving ESMValGroup/ESMValTool#2945
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