id summary reporter owner description type status priority milestone component version resolution keywords cc
148 New cell_methods: mabs/mibs/mebs zender davidhassell "== 1. Title
Add absolute value statistics to cell methods
== 2. Moderator
David Hassell
== 3. Requirement
The statistics mabs/mibs/mebs stand for ""Maximum absolute value"",
""Minimum absolute value"", and ""Mean absolute value"", respectively.
They are similar to max/min/mean statistics, and they can be useful
in characterizing data when one wants positive-definite metrics.
mebs (unlike mean) does not allow positive and negative values to
compensate eachother. Unlike rms, mebs not does weight outliers
quadratically. NCO implements mabs/mibs/mebs as
fundamental statistics (like max/min/mean), and annotates the
cell_methods attribute of variables reduced by these statistics with
the strings ""maximum_absolute_value"", ""minimum_absolute_value"",
""mean_absolute_value"".
== 4. Initial Statement of Technical Proposal
This recommendation could be implemented in CF by
inserting the following lines into Table E.1. Cell Methods
http://cfconventions.org/Data/cf-conventions/cf-conventions-1.7/build/cf-conventions.html#appendix-cell-methods
{{{
cell_methods: Units: Description:
maximum_absolute_value u Maximum absolute value
minimum_absolute_value u Minimum absolute value
mean_absolute_value u Mean absolute value
}}}
== 5. Benefits
This would improve the CF-compliance of fields processed by absolute-value statistics.
== 6. Status Quo
There is no standard CF terminology to describe absolute-value statistics so fields analyzed with these methods may have missing, erroneous, or non-standard cell_methods for this stage of processing. Unless the statistics were computed with NCO which has implemented the proposed cell_methods since February, 2015. " enhancement closed medium cf-conventions fixed cell_methods d.c.hassell@… zender@…