# Title
Example for Independent Latitude, Longitude, Non-spatiotemporal Variable, and
Time Axes
# Moderator
@GeyerB
# Moderator Status Review [last updated: 20/03/02]
no update yet
# Requirement Summary
Analogue to chapter `5.1. Independent Latitude, Longitude, Vertical, and Time
Axes`, where the use of spatiotemporal dimensions is explained we should
explain how to structure data with `Independent Latitude, Longitude,
Non-spatiotemporal Variable, and Time Axes`. The new class of standard_names
starting with `probability_distribution_of` belongs to that group.
We could have a new subchapter of chapter 5 or an annex with additional
examples for all sorts of such examples coming in future.
# Technical Proposal Summary
**Independent Latitude, Longitude, Non-spatiotemporal Variable, and Time Axes**
For probability distributions of variables, dimensions are used to locate data
values in time and space and in the range of the variable itself.
**Example: Independent coordinate variables with non-spatiotemporal variables**
```
dimensions:
time = UNLIMITED; // (5 currently)
nbin = 36;
nv = 2;
variables:
double time(time);
time: standard_name = "time";
time: long_name = "time" ;
time: units = "days since 1970-01-01 00:00:00" ;
time: bounds = "time_bnds";
double time_bnds(time,nv);
float class(nbin);
class: standard_name = "wind_from_direction"
class: long_name = "wind sector";
class: units = "degree";
class: bounds = "class_bnds";
float class_bnds(nbin,nv);
float WDIR_freq(time,lat,lon,class);
WDIR_freq: standard_name =
"probability_distribution_of_wind_from_direction_over_time";
WDIR_freq: units = "1";
WDIR_freq: coordinates = "lon lat class"
WDIR_freq: cell_methods = "time: sum (interval: 40s)"
```
# Benefits
Users of the new category of standard_names starting with
probability_distribution get a roadmap how to construct such data files.
# Status Quo
No example available.
# Detailed Proposal
see above
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