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root mean sq [ MGAP CPT CFSv2_AtlPac_sst target_date ]: forecast time data
MGAP CPT CFSv2_AtlPac_sst target_date forecast time from SOURCES: datos de MGAP SNIA prueba. isIndependent Variables (Grids)
Other Info
- bufferwordsize
- 8
- calendar
- 360
- CE
- null
- CS
- null
- datatype
- doublearraytype
- gridid
- 192720040
- pointwidth
- 3
- scale_max
- null
- scale_min
- null
- standard_name
- forecast_reference_time
- units
- months since 1960-01-01
- standard units*
- 0.0833333333333333 ( years since 1960-01-01 00:00.000000000 )
- history
- Averaged over S[0000 1 Sep 2014, 0000 1 Oct 2014] L[1.0 months, 6.0 months]
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