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root mean sq root mean sq [ NextGen CPT Estacional CPC Guatemala ExtraVars Anomaly ] : Anomalía data
root mean sq root mean sq [ NextGen CPT Estacional CPC Guatemala ExtraVars Anomaly ] . isIndependent Variables (Grids)
- Forecast Lead Time in Months
- grid: /L (months) ordered [ (2.5)] :grid
Other Info
- bufferwordsize
- 8
- CE
- null
- colorscalename
- prcp_anomaly
- CS
- null
- datatype
- doublearraytype
- file_missing_value
- -999.0
- maxncolor
- 254
- missing_value
- NaN
- pointwidth
- 0
- units
- mm
- standard units*
- 0.001 meter
- history
- root mean sq [ NextGen CPT Estacional CPC Guatemala ExtraVars Anomaly ]
- Averaged over S2[16 Dec 1982 - 15 Dec 1983, 16 Dec 2008 - 15 Dec 2009] minimum 0.0% data present
Averaged over Y[12.5N, 18.5N] S[0000 1 Jan 2019, 0000 1 Jan 2021] minimum 0.0% data present
root mean sq root mean sq [ NextGen CPT Estacional CPC Guatemala ExtraVars Anomaly ]- Averaged over X[92.5W, 87.5W] minimum 0.0% data present
- Averaged over S2[16 Dec 1982 - 15 Dec 1983, 16 Dec 2008 - 15 Dec 2009] minimum 0.0% data present
Last updated: Fri, 05 Nov 2021 18:02:01 GMT
Expires: Sat, 09 May 2020 00:00:00 GMT
Data Views
| L | |
 root mean sq root mean sq [ NextGen CPT Estacional CPC Guatemala ExtraVars Anomaly ] 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