data: NextGen CPT Estacional CHIRPS Guatemala NextGenL2 Forecast target

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NextGen CPT Estacional CHIRPS Guatemala NextGenL2 Forecast target_length: Length of forecast time data

Length of forecast time from NextGen CPT Estacional CHIRPS Guatemala NextGenL2 Forecast: Forecast and Error.

Independent Variables (Grids)

Forecast Lead Time in Months: grid: /L (months) ordered [ (3.5)] :grid
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

Other Info

calendar: 360
CE: null
CS: null
datatype: realarraytype
missing_value: NaN
pointwidth: 1.0
units: days
standard units*: 86400 second
history: Averaged in T with overlapping interval 3

Last updated: Thu, 23 Mar 2023 19:50:42 GMT

Data Views

	L	S	X	Y
NextGen CPT Estacional CHIRPS Guatemala NextGenL2 Forecast[target_date Var PredErrorVars Probabilities-Categories target_length Forecast Probabilities ]
NextGen CPT Estacional CHIRPS Guatemala NextGenL2 Forecast Probabilities 2.5 months[ X Y \| L S]	S	M	M	M
NextGen CPT Estacional CHIRPS Guatemala NextGenL2 Forecast target_length 3.5 months[ S L \|]	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
Differentiate along S
Take differences along S