data: mean [ NextGen CPT Estacional CPC Guatemala CMC2-CanCM4 Forecast PROB

mean [ NextGen CPT Estacional CPC Guatemala CMC2-CanCM4 Forecast PROB_FCST ]: Probabilidades - Categorías data

PROB_FCST Probabilidades - Categorías from NextGen CPT Estacional CPC Guatemala CMC2-CanCM4 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
Hecho en (forecast_reference_time): grid: /S (months since 1960-01-01) ordered (0000 1 Jan 2019) to (0000 1 Jul 2019) by 1.0 N= 7 pts :grid
Longitud (longitude): grid: /X (degree_east) ordered (94W) to (87W) by 1.0 N= 8 pts :grid

Other Info

bufferwordsize: 8
CE: null
CS: null
datatype: doublearraytype
file_missing_value: -1.0
missing_value: NaN
pointwidth: 0
units: percent
standard units*: 0.01
history: Averaged over Y[11.5N, 19.5N] minimum 0.0% data present

Last updated: Fri, 10 Apr 2020 20:38:10 GMT
Expires: Sat, 09 May 2020 00:00:00 GMT

Data Views

	C	L	S	X
mean [ NextGen CPT Estacional CPC Guatemala CMC2-CanCM4 Forecast PROB_FCST ] 2.5 months[ X C \| S L]	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 C S
Differentiate along X C S
Take differences along X C S