data: $integral dX$ [ CMC CATATUMBO BIMESTRE speedCAPE LISOTD-0p1 BELOW ]

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∫dX [ CMC CATATUMBO BIMESTRE speedCAPE LISOTD-0p1 BELOW ]: ROC ( Bajo ) - Rayos data

∫dX [ CMC CATATUMBO BIMESTRE speedCAPE LISOTD-0p1 BELOW ].

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
Longitude (longitude): grid: /X (degree_east) ordered (94.95001W) to (57.04999W) by 0.1000001 N= 380 pts :grid
Latitude (latitude): grid: /Y (degree_north) ordered (24.9N) to (3.1N) by 0.1 N= 219 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
units: degree_east
standard units*: 0.0174532925199433 radian east
colorscale

Last updated: Thu, 08 Aug 2019 20:09:33 GMT
Expires: Thu, 05 Sep 2019 00:00:00 GMT

Data Views

	S	X	Y
grid: /X (degree_east) ordered (94.95001W) to (57.04999W) by 0.1000001 N= 380 pts :grid		M
grid: /Y (degree_north) ordered (24.95N) to (3.05N) by 0.1 N= 220 pts :grid			O=0.04999924
grid: /S (months since 1960-01-01) ordered (0000 1 Jan 2013) to (0000 1 Dec 2013) by 1.0 N= 12 pts :grid	M
$integral dX$ [ CMC CATATUMBO BIMESTRE speedCAPE LISOTD-0p1 BELOW ][ 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