data: ALISIOS NextGen CHIRPS Seasonal OLE2 COLA-RSMAS-CESM1 Forecast PROB

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ALISIOS NextGen CHIRPS Seasonal OLE2 COLA-RSMAS-CESM1 Forecast PROB_FCST: Probabilidades - Categorías data

Probabilidades - Categorías from ALISIOS NextGen CHIRPS Seasonal OLE2 COLA-RSMAS-CESM1 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 months) to (4.5 months) by 1.0 N= 3 pts :grid
Hecho en (forecast_reference_time): grid: /S (months since 1960-01-01) ordered (0000 1 Jan 2024) to (0000 1 Dec 2024) by 1.0 N= 12 pts :grid
Longitud (longitude): grid: /X (degree_east) ordered (117.6837W) to (28.2837W) by 0.1 N= 895 pts :grid
Latitud (latitude): grid: /Y (degree_north) ordered (32.6663N) to (49.975S) by 0.10005 N= 827 pts :grid

Other Info

CE: 100
CS: 0
datatype: doublearraytype
missing_value: -1.0
pointwidth: 0
scale_max: 100.0
scale_min: 0.0
units: percent
standard units*: 0.01

Last updated: Tue, 07 Jan 2025 14:00:00 GMT

Data Views

	C	L	S	X	Y
ALISIOS NextGen CHIRPS Seasonal OLE2 COLA-RSMAS-CESM1[Forecast Skill History ]
ALISIOS NextGen CHIRPS Seasonal OLE2 COLA-RSMAS-CESM1 Forecast PROB_FCST[ X Y C \| S L]	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 L
Differentiate along X Y C S L
Take differences along X Y C S L