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min [ 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.Independent Variables (Grids)
- Forecast Lead Time in Months
- grid: /L (months) ordered [ (2.5)] :grid
- Longitud (longitude)
- grid: /X (degree_east) ordered (119.9W) to (70W) by 0.1 N= 500 pts :grid
Other Info
- CE
- null
- colorscalename
- rainbowcolorscale
- CS
- null
- datatype
- realarraytype
- file_missing_value
- -999.0
- maxncolor
- 256
- missing_value
- NaN
- units
- 1.15740740740741×10-14 meter3 second-1
- history
- min [ NextGen CPT Estacional CHIRPS Guatemala NextGen1 Forecast PredErrorVars ]
- Averaged in T with overlapping interval 3
min over Y[4.95S, 39.95N] S[0000 1 Jan 2019, 0000 1 May 2023]
- 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
Views
line plots
color bars
scatter| L | X | |
 min [ NextGen CPT Estacional CHIRPS Guatemala NextGen1 Forecast PredErrorVars ] 2.5 months[ X | L] | M | 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 X
- Differentiate along X
- Take differences along X
RMS (root mean square with mean *not* removed) over X |
RMSA (root mean square with mean removed) over X |
Maximum over X |
Minimum over X |
Detrend (best-fit-line) over X |
Note on units