served from 45.183.221.150
NextGen CPT Estacional CHIRPS Guatemala NextGenL2 Forecast PredErrorVars: prediction error variance data
prediction error variance from NextGen CPT Estacional CHIRPS Guatemala NextGenL2 Forecast: Forecast and Error.Independent Variables (Grids)
- Hecho en (forecast_reference_time)
- grid: /S (months since 1960-01-01) ordered (0000 1 Mar 2023) to (0000 1 Nov 2024) by 1.0 N= 21 pts :grid
- Longitud (longitude)
- grid: /X (degree_east) ordered (119.9W) to (70W) by 0.1 N= 500 pts :grid
- Latitud (latitude)
- grid: /Y (degree_north) ordered (4.95S) to (39.95N) by 0.1 N= 450 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
- Averaged in T with overlapping interval 3
Last updated: Thu, 23 Mar 2023 19:50:42 GMT
Expires: Sun, 09 Apr 2023 00:00:00 GMT
Data Views
Views
data as colors
data as contours
colors with land
contours with land
colors with coasts| S | X | Y | |
 NextGen CPT Estacional CHIRPS Guatemala NextGenL2 Forecast[target_date
Var
PredErrorVars
Probabilities-Categories
target_length
Forecast
Probabilities
] | |||
| grid: /X (degree_east) ordered (119.9W) to (70W) by 0.1 N= 500 pts :grid | M | ||
|---|---|---|---|
| grid: /Y (degree_north) ordered (4.95S) to (39.95N) by 0.1 N= 450 pts :grid | M | ||
| grid: /S (months since 1960-01-01) ordered (0000 1 Mar 2023) to (0000 1 Nov 2024) by 1.0 N= 21 pts :grid | M | ||
 NextGen CPT Estacional CHIRPS Guatemala NextGenL2 Forecast PredErrorVars[ X Y | S] | M | M | M |
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 Y S
- Differentiate along X Y S
- Take differences along X Y S
RMS (root mean square with mean *not* removed) over X Y S | X Y X S Y S | X Y S |
RMSA (root mean square with mean removed) over X Y S | X Y X S Y S | X Y S |
Maximum over X Y S | X Y X S Y S | X Y S |
Minimum over X Y S | X Y X S Y S | X Y S |
Detrend (best-fit-line) over X Y S | X Y X S Y S | X Y S |
Note on units