Hello CF

I have been having an interesting conversation with some modelling colleagues 
regarding the standard names and descriptions for cloud amount:

cloud_area_fraction:
'X_area_fraction' means the fraction of horizontal area occupied by X. 'X_area' 
means the horizontal area occupied by X within the grid cell. Cloud area 
fraction is also called 'cloud amount' and 'cloud cover'. The cloud area 
fraction is for the whole atmosphere column, as seen from the surface or the 
top of the atmosphere. The cloud area fraction in a layer of the atmosphere has 
the standard name cloud_area_fraction_in_atmosphere_layer.

low_type_cloud_area_fraction:
Low type clouds are: Stratus, Stratocumulus, Cumulus, Cumulonimbus. 
"X_area_fraction" means the fraction of horizontal area occupied by X. Cloud 
area fraction is also called "cloud amount" and "cloud cover". 
X_type_cloud_area_fraction is determined on the basis of cloud type and not on 
the vertical location of the cloud.

middle_type_cloud_area_fraction:
Middle type clouds are: Altostratus, Altocumulus, Nimbostratus. 
"X_area_fraction" means the fraction of horizontal area occupied by X. Cloud 
area fraction is also called "cloud amount" and "cloud cover". 
X_type_cloud_area_fraction is determined on the basis of cloud type and not on 
the vertical location of the cloud.

high_type_cloud_area_fraction:
High type clouds are: Cirrus, Cirrostratus, Cirrocumulus. "X_area_fraction" 
means the fraction of horizontal area occupied by X. Cloud area fraction is 
also called "cloud amount" and "cloud cover". X_type_cloud_area_fraction is 
determined on the basis of cloud type and not on the vertical location of the 
cloud.

In our local models, we have diagnostics labelled:
TOTAL CLOUD AMOUNT - RANDOM OVERLAP
LOW CLOUD AMOUNT
MEDIUM CLOUD AMOUNT
HIGH CLOUD AMOUNT

The model calculates LOW CLOUD AMOUNT by finding the maximum amount of cloud 
cover in a model level which exists within a range defined as low.  The model 
has no inclination about cloud types and makes no evaluation of overlap for 
these diagnostics.

The model calculates TOTAL CLOUD AMOUNT - RANDOM OVERLAP by evaluating the 
cloud over all vertical levels and its spatial displacement.

Base on this, it seems reasonable to use the CF standard name
cloud_area_fraction
for output fields but based on the descriptive text then I do not see how we 
could ever be able to use
low_type_cloud_area_fraction
for data output from our model.

I would be really interested to hear from people who use these standard names 
regularly on the applicability to our case; specifically:

1. Are these definitions explicit, complete and accurate?

2. Should all uses of these standard names be sure that they are  based on 
typing the cloud correctly, not on the level of the cloud within the model?

3. Do these high/medium/low cloud type standard names also assume that 
spatially displaced levels are summed, or are they aiming to report the maximum 
in any one level within the range?

many thanks
mark
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