data: NextGen CPT Estacional CPC Guatemala CMC2-CanCM4 Forecast Forecast

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NextGen CPT Estacional CPC Guatemala CMC2-CanCM4 Forecast Forecast: Pronóstico data

Pronóstico from NextGen CPT Estacional CPC Guatemala CMC2-CanCM4 Forecast: Forecast and Error.

Independent Variables (Grids)

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
Latitud (latitude): grid: /Y (degree_north) ordered (12N) to (19N) by 1.0 N= 8 pts :grid

Other Info

bufferwordsize: 4
CE: 500
CS: 0
datatype: realarraytype
maxncolor: 254
missing_value: -999.0
pointwidth: 0
scale_max: 500.0
scale_min: 0.0
units: mm /dia
standard units*: mm /dia
colorscale

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

Data Views

	L	S	X	Y
NextGen CPT Estacional CPC Guatemala CMC2-CanCM4 Forecast[PROB_FCST Forecast target_date PredErrorVars target_length PROBABILITIES ]
NextGen CPT Estacional CPC Guatemala CMC2-CanCM4 Forecast Forecast 2.5 months[ X Y \| 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 Y S
Differentiate along X Y S
Take differences along X Y S