data: $integral dS$ [ NextGen CPT Estacional CHIRPS Guatemala NextGen1 Forecast Probabilities-Categories ]

∫dS [ NextGen CPT Estacional CHIRPS Guatemala NextGen1 Forecast Probabilities-Categories ]: Probabilidades - Categorías data

Probabilities-Categories Probabilidades - Categorías from NextGen CPT Estacional CHIRPS Guatemala NextGen1 Forecast: Forecast and Error.

Independent Variables (Grids)

Categorias: grid: /C (ids) unordered [ (Bajo) (Normal) (Sobre)] :grid
Forecast Lead Time in Months: grid: /L (months) ordered [ (2.5)] :grid
S (forecast_reference_time): grid: /S (months since 1960-01-01) ordered (0000 16 Oct 2015) to (0000 16 May 2023) by 1.0 N= 92 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 (39.95N) to (4.95S) by 0.1 N= 450 pts :grid

Other Info

bufferwordsize: 8
CE: null
CS: null
datatype: doublearraytype
file_missing_value: -1.0
missing_value: NaN
units: 0.000833333333333333 year

Last updated: Thu, 27 Jul 2023 16:42:19 GMT
Expires: Thu, 09 Feb 2023 00:00:00 GMT

Data Views

	C	L	S	X	Y
$integral dS$ [ NextGen CPT Estacional CHIRPS Guatemala NextGen1 Forecast Probabilities-Categories ] 2.5 months[ X Y C \| L S]	M	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 X Y C S
Differentiate along X Y C S
Take differences along X Y C S