Dear list,

I have 10-minute statistics (min, max, mean, stdev) data for which I know the sampling frequency and therefore the number of samples. I also (sometimes) have per-variable absolute and relative uncertainties (JCGM terminology).

How do I encode the sampling frequency and number of samples in a way that these are accessible in a standard way?

I now use, e.g.,

variable.cell_methods = "time: mean (interval: 10 minutes comment: sampled at 1 Hz, so 600 samples)"

but this puts the frequency information in an ‘opaque’ comment. This makes it hard to use that information for automated processing (an example of this will appear below).

I'd like to do something like

        variable.number_of_observations = 600

but that is not covered by the conventions, it seems.

Furthermore, because I have accuracy information (for the original samples!) available, I'd like to add that in a standard way as well, something like:

        variable.uncertainty_absolute = 0.1
        variable.uncertainty_relative = 0.01  # 1%

Then for each of the statistics a per-value uncertainty (estimates) can be calculated. Let x be the value, a the absolute and r the relative uncertainty, and n the number of samples, then for example

for min:        a_x = a + r·x
for max:        a_x = a + r·x
for mean:       a_x = (a + r·x) / √n
for stdev:      a_x = (a + r·x) / √n

I have seen in the archives that conventions for uncertainty information have been proposed, but they seemed to refer to ancillary variables (extensions of the standard_error standard name modifier?) or descriptions of a statistical model. Both appear overkill for my purposes.


Best regards,

Erik Quaeghebeur

P.S.: I tried to unsubscribe as instructed from the [email protected] list that forwards trac discussions, but got a Delivery Status Notification (Failure) message:

The following message to <[email protected]> was undeliverable.
The reason for the problem:
5.1.0 - Unknown address error 550-'No such list.'

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https://ac.erikquaeghebeur.name
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