data: CMC CATATUMBO BIMESTRE CFSv2-CAPE LISOTD-0p5 ABOVE

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CMC CATATUMBO BIMESTRE CFSv2-CAPE LISOTD-0p5 ABOVE: ROC ( Sobre ) - Rayos data

CMC CATATUMBO BIMESTRE CFSv2-CAPE LISOTD-0p5 ABOVE.

Independent Variables (Grids)

Hecho en (forecast_reference_time): grid: /S (months since 1960-01-01) ordered (0000 1 Jan 2013) to (0000 1 Dec 2013) by 1.0 N= 12 pts :grid
Longitud (longitude): grid: /X (degree_east) ordered (94.75W) to (57.25W) by 0.5 N= 76 pts :grid
Latitud (latitude): grid: /Y (degree_north) ordered (24.75N) to (3.25N) by 0.5 N= 44 pts :grid

Other Info

CE: 100.0
colorscalename: correlationcolorscale
CS: 0.0
datatype: realarraytype
file_missing_value: -999.0
maxncolor: 254
missing_value: NaN
pointwidth: 0
scale_max: 100.0
scale_min: 0.0
units: unitless
colorscale

Last updated: Fri, 03 Nov 2017 17:04:40 GMT
Expires: Tue, 05 Dec 2017 00:00:00 GMT

Data Views

	L	S	X	Y
CMC CATATUMBO BIMESTRE CFSv2-CAPE LISOTD-0p5[ODDS ABOVE target_date BELOW 2AFC PROPENSION PROBABILIDADES RAYOS SPEARMAN ]
CMC CATATUMBO BIMESTRE CFSv2-CAPE LISOTD-0p5 PROBABILIDADES 1.5 months[ X Y \| L S]	M	M	M	M
CMC CATATUMBO BIMESTRE CFSv2-CAPE LISOTD-0p5 ABOVE[ X Y \| S]		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