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root mean sq anom root mean sq [ NextGen CPT 1p0 Guatemala NCEP-CFSv2 History InputObs ] : input observations data
InputObs InputObs input observations from NextGen CPT 1p0 Guatemala NCEP-CFSv2 History: Predictand, Hindcast and Skill. isIndependent Variables (Grids)
- Forecast Lead Time in Months
- grid: /L (months) ordered [ (2.5)] :grid
Other Info
- bufferwordsize
- 8
- CE
- null
- colorscalename
- precip_colors
- CS
- null
- datatype
- doublearraytype
- file_missing_value
- -999.0
- maxncolor
- 254
- missing_value
- NaN
- pointwidth
- 0
- units
- mm /dia
- standard units*
- mm /dia
- history
- root mean sq anom root mean sq [ NextGen CPT 1p0 Guatemala NCEP-CFSv2 History InputObs ]
- Averaged over X[94.5W, 86.5W] minimum 0.0% data present
Averaged over S[0000 1 Jan 1983, 0000 1 Dec 2009] Y[12N, 19N] minimum 0.0% data present
- Averaged over X[94.5W, 86.5W] minimum 0.0% data present
Last updated: Fri, 05 Nov 2021 18:02:01 GMT
Data Views
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 root mean sq anom root mean sq [ NextGen CPT 1p0 Guatemala NCEP-CFSv2 History InputObs ] 2.5 months[ | L] | M |
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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