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min ∂S [ NextGen CPT Estacional CHIRPS Guatemala NextGen1 Forecast Probabilities-Categories ] : ∂S Probabilidades - Categorías data
Probabilities-Categories partial_S ∂S Probabilidades - Categorías 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
- S (forecast_reference_time)
- grid: /S (months since 1960-01-01) ordered (Nov 2015) to (Apr 2023) by 1.0 N= 90 pts :grid
- Longitud (longitude)
- grid: /X (degree_east) ordered (119.9W) to (70W) by 0.1 N= 500 pts :grid
Other Info
- CE
- null
- CS
- null
- datatype
- realarraytype
- file_missing_value
- -1.0
- missing_value
- NaN
- units
- 0.12 year-1
- history
- min over Y[39.95N, 4.95S] C[Bajo, Sobre]
Last updated: Thu, 27 Jul 2023 16:42:19 GMT
Expires: Thu, 09 Feb 2023 00:00:00 GMT
Data Views
Views
data as colors
data as contours| L | S | X | |
 min $partialdiff sub S$ [ NextGen CPT Estacional CHIRPS Guatemala NextGen1 Forecast Probabilities-Categories ] 2.5 months[ X | L S] | 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 X S
- Differentiate along X S
- Take differences along X S
RMS (root mean square with mean *not* removed) over X S | X S |
RMSA (root mean square with mean removed) over X S | X S |
Maximum over X S | X S |
Minimum over X S | X S |
Detrend (best-fit-line) over X S | X S |
Note on units