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min root mean sq anom ∫dY ∂Y [ NASA FIRMS Confianza ] : ∂Y Confianza data
Confianza Confianza partial_Y int_dY int_dY ∂Y Confianza from NASA FIRMS: Focos de calor FIRMS. isIndependent Variables (Grids)
Other Info
- bufferwordsize
- 8
- CE
- null
- CS
- null
- datatype
- doublearraytype
- file_missing_value
- -99.0
- missing_value
- NaN
- units
- unitless
- history
- min root mean sq anom $integral dY$ $partialdiff sub Y$ [ NASA FIRMS Confianza ]
- Averaged over Y[35S, 30S] minimum 0.0% data present
min over X[58.5W, 53.5W]
- Averaged over Y[35S, 30S] minimum 0.0% data present
Last updated: Thu, 04 Feb 2016 15:18:08 GMT
Data Views
Filters
Here are some filters that are useful for manipulating data. There are actually many more available, but they have to be entered manually. See Ingrid Function Documentation for more information.- Monthly Climatology calculates a monthly climatology by averaging over all years.
- anomalies calculates the difference between the (above) monthly climatology and the original data.
- Integrate along
- Differentiate along
- Take differences along
RMS (root mean square with mean *not* removed) over
RMSA (root mean square with mean removed) over
Maximum over
Minimum over
Detrend (best-fit-line) over
Note on units