data: CMC CPT LIGHTNING ESCENARIO1 ABOVE

served from 129.236.110.25

CMC CPT LIGHTNING ESCENARIO1 ABOVE: ROC ( Sobre ) - Descargas Electroamosféricas data

CMC CPT LIGHTNING ESCENARIO1 ABOVE.

Independent Variables (Grids)

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

CE: null
CS: null
datatype: realarraytype
file_missing_value: -999.0
missing_value: NaN
pointwidth: 0
units: unitless

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

Data Views

	S	X	Y
CMC CPT LIGHTNING ESCENARIO1[PROPENSION BELOW SPEARMAN target_date LIGHTNING ABOVE PROBABILIDADES ODDS AFC ]
grid: /X (degree_east) ordered (94.75W) to (57.25W) by 0.5 N= 76 pts :grid		M
grid: /Y (degree_north) ordered (24.75N) to (3.25N) by 0.5 N= 44 pts :grid			M
grid: /S (months since 1960-01-01) ordered (0000 1 Dec 2016) to (0000 1 Mar 2021) by 1.0 N= 52 pts :grid	M
CMC CPT LIGHTNING ESCENARIO1 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