Hello Eli,
Would the standardised "interval" cell methods keyword be of use (
http://cfconventions.org/Data/cf-conventions/cf-conventions-1.7/cf-
conventions.html#recording-spacing-original-data):
float data(time);
data:long_name = "The data";
data:cell_methods = "time: mean (interval: 1 hour)" ;
data:standard_name = "?????";
data:units = "????";
All the best,
David
On 23 July 2018 at 21:56, Jim Biard <jbiard at cicsnc.org> wrote:
> Eli,
>
> I'm not quite sure what you are looking for here. There are no other
> mechanisms in CF right now for describing sampling interval. Perhaps it
> would help if you described in greater detail the inputs to your process
> and the outputs from your process that you wish to store in a netCDF file.
> Here's what I am getting from what you wrote in your first message, with
> arbitrary numbers selected to make it concrete.
>
> Inputs:
>
> Each hour:
>
> - Instrument takes 100 samples
> - Instrument reports the time and the average of the 100 samples
>
> Outputs for a netCDF file:
>
> - One month of hourly average values
> - The time each hourly average was reported
> - The length of the acquisition interval
>
> If this is what you have it is straightforward to store in netCDF using
> CF. Using CDL, the file structure would be:
>
> netcdf file: sample.nc {
> dimensions:
> time = 100;
> bnds = 2;
> variables:
> float time(time);
> time:long_name = "reporting time";
> time:units = "seconds since 1970-01-01 00:00:00";
> time:standard_name = "time";
> time:axis = "T";
> time:calendar = "gregorian";
> time:bounds = "time_bounds";
> float time_bounds(time, bnds);
> float data(time);
> data:long_name = "The data";
> data:cell_methods = "time: mean (any comment that you find
> helpful)";
> data:standard_name = "?????";
> data:units = "????";
> data:
> time = 3600.0, 7200.0, ... ;
> time_bounds = 0.0, 3600.0, 3600.0, 7200.0, 7200.0, 10800.0,
> ... ;
> }
>
> I hope this helps frame the question and/or provides a bit of the answer.
>
> Grace and peace,
>
> Jim
>
> On 7/20/18 5:42 PM, Ateljevich, Eli at DWR wrote:
>
> I have data that are recorded hourly after sampling the previous hour. The
> original sampling rate is high, but in some cases not provided so it
> doesn?t tend to make it into the metadata.
>
>
>
> I can represent the hourly average with cell_methods and time_bnds, but it
> is painful for two reasons:
>
> 1. It costs some storage overhead in simple cases because the bounds are
> obvious.
>
> 2. The fact that it is regularly sampled is part of the station design.
> Here, I have to infer two things: (regular reporting interval and relative
> position of timestamp from time_bnds). The first one in particular is not a
> comment to me.
>
>
>
> I can certainly see the lack of generality creeping looming, but this is
> such an important special case. Is there no common shorthand or possibly
> something I could at least do in **addition** to the cell_bounds. Am I
> missing a long conversation on this?
>
>
>
> Obviously my question extends to any regular sampling geometries, I just
> picked a simple one in 1D.
>
> Thanks,
>
> Eli
>
>
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