data: CMC CATATUMBO BIMESTRE CFSv2-CAPE LISOTD-0p25 RAYOS

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CMC CATATUMBO BIMESTRE CFSv2-CAPE LISOTD-0p25 RAYOS: Probabilidades - Rayos - Categorías data

CMC CATATUMBO BIMESTRE CFSv2-CAPE LISOTD-0p25 RAYOS.

Independent Variables (Grids)

Categorias: grid: /C (ids) unordered [ (Bajo) (Normal) (Sobre)] :grid
Forecast Lead Time in Months: grid: /L (months) ordered [ (1.5)] :grid
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 (94.875W) to (57.125W) by 0.25 N= 152 pts :grid
Latitud (latitude): grid: /Y (degree_north) ordered (24.875N) to (3.125N) by 0.25 N= 88 pts :grid

Other Info

bufferwordsize: 8
CE: 100
CS: 1
datatype: doublearraytype
maxncolor: 254
missing_value: -1.0
pointwidth: 0
scale_max: 100.0
scale_min: 1.0
units: percent
standard units*: 0.01
colorscale

Last updated: Fri, 09 Jun 2017 14:21:10 GMT
Expires: Wed, 05 Jul 2017 00:00:00 GMT

Data Views

	C	L	S	X	Y
CMC CATATUMBO BIMESTRE CFSv2-CAPE LISOTD-0p25[target_date ODDS BELOW RAYOS SPEARMAN ABOVE PROPENSION PROBABILIDADES 2AFC ]
CMC CATATUMBO BIMESTRE CFSv2-CAPE LISOTD-0p25 RAYOS 1.5 months[ 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
Differentiate along X Y C S
Take differences along X Y C S