Jon,
This is something I have also found confusing in the past. It's
unfortunate that we have a system in which you must dig through multiple
attributes to figure out the type/kind/class of measurement you are
dealing with, but this is how CF grew.
Grace and peace,
Jim
On 4/24/17 12:17 PM, Jonathan Gregory wrote:
Dear Jon
2. Representing the variability of a quantity within a time period (e.g.
expressing the annual mean plus a measure of the spread of values around the
mean).
I assume that (2) is solved by using cell methods on the time axis (e.g.
cell_methods = “t: mean” or “t: standard_deviation” etc). Please correct me if
I’m wrong!
Quite right. The time period is recorded using bounds of the time coord var.
1. Representing the mean and spread of an ensemble of simulations (i.e. boiling
down a set of ensemble members to two variables: mean and spread).
For (1) should I use a standard name modifier? If so, is there a reason why
“mean” and “standard deviation” are not listed as standard name modifiers?
“Standard error” is listed, but this is different from standard deviation, and
I think that what I will need is probably a standard deviation.
You can do this with cell_methods in exactly the same way, "e: mean" and
"e: standard_deviation" where e is the ensemble dimension. If you don't have
an ensemble dimension, you could put "realization: mean" and
"realization: standard_deviation", since "realization" is a standard_name
for ensemble member designators.
Best wishes
Jonathan
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