data: NextGen CPT Estacional CPC Guatemala CMC2-CanCM4 History CrossValHind

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NextGen CPT Estacional CPC Guatemala CMC2-CanCM4 History CrossValHind: Procentaje de la mediana data

Procentaje de la mediana from NextGen CPT Estacional CPC Guatemala CMC2-CanCM4 History: Predictand, Hindcast and Skill.

Independent Variables (Grids)

Forecast Lead Time in Months: grid: /L (months) ordered [ (2.5)] :grid
S: grid: /S (months since 1960-01-01) ordered (0000 1 Jan 1983) to (0000 1 Dec 2009) by 1.0 N= 324 pts :grid
Longitud (longitude): grid: /X (degree_east) ordered (94W) to (87W) by 1.0 N= 8 pts :grid
Latitud (latitude): grid: /Y (degree_north) ordered (12N) to (19N) by 1.0 N= 8 pts :grid

Other Info

bufferwordsize: 4
CE: null
colorscalename: precip_colors
CS: 0
datatype: realarraytype
maxncolor: 254
missing_value: -999.0
pointwidth: 0
scale_min: 0.0
units: mm /dia
standard units*: mm /dia

Last updated: Fri, 10 Apr 2020 20:38:10 GMT

Data Views

	L	S	X	Y
NextGen CPT Estacional CPC Guatemala CMC2-CanCM4 History[hindcast_length CrossValHind InputObs hindcast_date ]
NextGen CPT Estacional CPC Guatemala CMC2-CanCM4 History CrossValHind 2.5 months[ S \| X Y L]	M	M	M	M
NextGen CPT Estacional CPC Guatemala CMC2-CanCM4 History CrossValHind 2.5 months[ S \| X Y 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 S X Y
Differentiate along S X Y
Take differences along S X Y