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NextGen CPT Estacional CHIRPS Guatemala V3 NextGen History InputObs: input observations data
NextGen History input observations from NextGen CPT Estacional CHIRPS Guatemala V3: Forecast: Dec 2021 - Mar 2022 . [Models NextGen ] .Independent Variables (Grids)
- Forecast Lead Time in Months
- grid: /L (months) ordered [ (2.5)] :grid
- S
- grid: /S (months since 1960-01-01) ordered (0000 1 Jan 1983) to (0000 1 Dec 2009) by 1.0 N= 324 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
- precip_colors
- CS
- null
- datatype
- realarraytype
- file_missing_value
- -999.0
- maxncolor
- 254
- missing_value
- NaN
- units
- mm
- standard units*
- 0.001 meter
Last updated: Tue, 26 Apr 2022 17:23:52 GMT
Data Views
Views
data as colors
data as contours
colors with land
contours with land
colors with coasts| L | S | X | Y | |
 NextGen CPT Estacional CHIRPS Guatemala V3[Models
NextGen
] | ||||
 NextGen CPT Estacional CHIRPS Guatemala V3 NextGen History InputObs 2.5 months[ S | L X Y] | M | M | 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 S X Y
- Differentiate along S X Y
- Take differences along S X Y
RMS (root mean square with mean *not* removed) over S X Y | S X S Y X Y | S X Y |
RMSA (root mean square with mean removed) over S X Y | S X S Y X Y | S X Y |
Maximum over S X Y | S X S Y X Y | S X Y |
Minimum over S X Y | S X S Y X Y | S X Y |
Detrend (best-fit-line) over S X Y | S X S Y X Y | S X Y |
Note on units