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root mean sq [ NextGen CPT Estacional CHIRPS Guatemala NextGen1 Forecast PredErrorVars ]: prediction error variance data
PredErrorVars prediction error variance from NextGen CPT Estacional CHIRPS Guatemala NextGen1 Forecast: Forecast and Error. isIndependent Variables (Grids)
- Forecast Lead Time in Months
- grid: /L (months) ordered [ (2.5)] :grid
Other Info
- bufferwordsize
- 8
- CE
- null
- colorscalename
- rainbowcolorscale
- CS
- null
- datatype
- doublearraytype
- file_missing_value
- -999.0
- maxncolor
- 256
- missing_value
- NaN
- units
- 1.15740740740741×10-14 meter3 second-1
- history
- root mean sq [ NextGen CPT Estacional CHIRPS Guatemala NextGen1 Forecast PredErrorVars ]
- Averaged in T with overlapping interval 3
Averaged over X[119.95W, 69.95W] Y[5S, 40N] S[0000 1 Jan 2019, 0000 1 May 2023] minimum 0.0% data present
- Averaged in T with overlapping interval 3
Last updated: Thu, 27 Jul 2023 16:42:19 GMT
Expires: Thu, 09 Feb 2023 00:00:00 GMT
Data Views
| L | |
 root mean sq [ NextGen CPT Estacional CHIRPS Guatemala NextGen1 Forecast PredErrorVars ] 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