A metadata encoding for the result of a Gridded Relative Frequencies process
Processing steps:
Begin with a collection of METAR reports and identify an interesting characteristic that is boolean (e.g., “ceiling height” less than or equal to 1000 feet or SN/SG/SNSH/SGSH occurs in present weather).
Define appropriate points in time and/or spans of time.
Define start and end dates for a “cool season” or “warm season” and collect booleans for a representative sample during that season.
Compute the appropriate relative frequencies at each station.
Analyze these frequencies to a grid.
For a collection of stations (generally much larger than the collection used in step 1., above), interpolate the gridded values to yield a value at each station.
A metadata encoding for the result of a Gridded Relative Frequencies process