New cell_methods: mabs/mibs/mebs
|Reported by:||zender||Owned by:||davidhassell|
Description (last modified by zender)
Add absolute value statistics to cell methods
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
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
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.
Change History (12)
comment:6 Changed 13 months ago by zender
- Description modified (diff)
- Summary changed from New cell_methods: mabs/mibs/mebs/tabs to New cell_methods: mabs/mibs/mebs
comment:11 Changed 3 months ago by davidhassell
- Owner changed from cf-conventions@… to davidhassell
- Status changed from new to accepted