root mean sq mean [ NextGen CPT Estacional CHIRPS Guatemala NextGen1 Forecast PredErrorVars ] : prediction error variance data
PredErrorVars PredErrorVars prediction error variance from NextGen CPT Estacional CHIRPS Guatemala NextGen1 Forecast: Forecast and Error.
is
Independent 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
- mean [ 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] minimum 0.0% data present
root mean sq mean [ NextGen CPT Estacional CHIRPS Guatemala NextGen1 Forecast PredErrorVars ] - Averaged over S[0000 1 Jan 2019, 0000 1 May 2023] minimum 0.0% data present
Last updated: Thu, 27 Jul 2023 16:42:19 GMT
Expires: Thu, 09 Feb 2023 00:00:00 GMT
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
Average over
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