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∂S [ NextGen CPT Estacional CHIRPS Guatemala NextGen History CrossValHind ]: ∂S Procentaje de la mediana data
CrossValHind ∂S Procentaje de la mediana from NextGen CPT Estacional CHIRPS Guatemala NextGen History: Predictand, Hindcast .Independent Variables (Grids)
- Forecast Lead Time in Months
- grid: /L (months) ordered [ (2.5)] :grid
- S
- grid: /S (months since 1960-01-01) ordered (Jan 1983) to (Nov 2009) by 1.0 N= 323 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 /month
- standard units*
- 0.012 meter year-1
Last updated: Thu, 27 Jul 2023 14:53:20 GMT
Data Views
Views
data as colors
data as contours
colors with land
contours with land
colors with coasts| L | S | X | Y | |
 $partialdiff sub S$ [ NextGen CPT Estacional CHIRPS Guatemala NextGen History CrossValHind ] 2.5 months[ S | L X Y] | M | 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 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