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min [ Ethiopia CPT NextGen OND_PRCP Somali Models GFDL-CM2p5-FLOR-B01 Forecasts var ]: prediction error variance data
var prediction error variance from Ethiopia CPT NextGen OND_PRCP Somali Models GFDL-CM2p5-FLOR-B01 Forecasts: Forecast and Error.Independent Variables (Grids)
- Start time (forecast_reference_time)
- grid: /S (months since 1960-01-01) ordered (0000 1 Jul 1982) to (0000 1 May 2025) by 1.0 N= 515 pts :grid
- Latitude (latitude)
- grid: /Y (degree_north) ordered (3.125N) to (11.875N) by 0.25 N= 36 pts :grid
Other Info
- bufferwordsize
- 4
- CE
- null
- colorscalename
- rainbowcolorscale
- CS
- 0
- datatype
- realarraytype
- file_missing_value
- -999.0
- maxncolor
- 256
- missing_value
- NaN
- pointwidth
- 0
- scale_min
- 0.0
- units
- mm2 /day2
- standard units*
- 1.33959190672154×10-16 meter2 second-2
- history
- min over X[35.125E, 48.875E]
Last updated: Fri, 27 Jan 2023 13:17:09 GMT
Expires: Sat, 07 Jun 2025 00:00:00 GMT
Data Views
Views
data as colors
data as contours
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 Y S
- Differentiate along Y S
- Take differences along Y S
RMS (root mean square with mean *not* removed) over Y S | Y S |
RMSA (root mean square with mean removed) over Y S | Y S |
Maximum over Y S | Y S |
Minimum over Y S | Y S |
Detrend (best-fit-line) over Y S | Y S |
Note on units