data: CMC CPT LIGHTNING ESCENARIO1 LIGHTNING

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CMC CPT LIGHTNING ESCENARIO1 LIGHTNING: Probabilidades - Descargas Electroamosféricas - Categorías data

CMC CPT LIGHTNING ESCENARIO1 LIGHTNING.

Independent Variables (Grids)

Categorias: grid: /C (ids) unordered [ (Bajo la Normal) (Normal) (Sobre la Normal)] :grid
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 Dec 2016) to (0000 1 Mar 2021) by 1.0 N= 52 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

bufferwordsize: 8
CE: 100
CS: 0
datatype: doublearraytype
missing_value: -1.0
pointwidth: 0
scale_max: 100.0
scale_min: 0.0
units: percent
standard units*: 0.01

Last updated: Mon, 28 Feb 2022 18:41:31 GMT
Expires: Sat, 05 Mar 2022 00:00:00 GMT

Data Views

	C	L	S	X	Y
CMC CPT LIGHTNING ESCENARIO1[BELOW SPEARMAN target_date LIGHTNING ABOVE PROBABILIDADES ODDS AFC PROPENSION ]
CMC CPT LIGHTNING ESCENARIO1 LIGHTNING 2.5 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