data: $integral dY$ [ CMC CATATUMBO BIMESTRE speedCAPE LISOTD-0p25 RAYOS ]

served from 129.236.110.25

∫dY [ CMC CATATUMBO BIMESTRE speedCAPE LISOTD-0p25 RAYOS ]: Probabilidades - Rayos - Categorías data

∫dY [ CMC CATATUMBO BIMESTRE speedCAPE 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
Latitude (latitude): grid: /Y (degree_north) ordered (25N) to (3N) by 0.25 N= 89 pts :grid

Other Info

bufferwordsize: 8
CE: 100
CS: 1
datatype: doublearraytype
file_missing_value: -1.0
maxncolor: 254
missing_value: NaN
pointwidth: 0
units: 0.000174532925199433 radian north
colorscale

Last updated: Fri, 09 Jun 2017 05:45:14 GMT
Expires: Wed, 05 Jul 2017 00:00:00 GMT

Data Views

	C	L	S	X	Y
CMC CATATUMBO BIMESTRE speedCAPE LISOTD-0p25[RAYOS ODDS SPEARMAN ABOVE target_date BELOW 2AFC PROPENSION PROBABILIDADES ]
CMC CATATUMBO BIMESTRE speedCAPE LISOTD-0p25 ABOVE[ X Y \| S]			M	M	O=0.125
$integral dY$ [ CMC CATATUMBO BIMESTRE speedCAPE 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