Hi,
I have a follow-up question on this, I compared a 12km run with KF cumulus parameterization (let's call it CP), a 12km without any CP, and a 4km without any CP. As expected, the 12km with KF did show larger bias than the 4km without CP; however, I saw the 12km without CP did better than 12km with CP, in fact the 12km without CP does an equally good job as the 4km without CP. I am talking about precipitation, compared to PRISM 4km, one-month total precip amount.
My question is, the CP is not perfect anyways, why do we need it, even for the 12km? Is there anyway that I can approve that 12km without CP is bad and one SHOULD use a CP when running 12km?
Attached please see 3 figures for bias of these 3 model setup. again the bias is for 2017 Jun monthly total precip. unit: mm/month