data: CMC CATATUMBO BIMESTRE speedCAPE LISOTD-0p1 SPEARMAN

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CMC CATATUMBO BIMESTRE speedCAPE LISOTD-0p1 SPEARMAN: Spearman Rayos data

CMC CATATUMBO BIMESTRE speedCAPE LISOTD-0p1 SPEARMAN.

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
Longitud (longitude): grid: /X (degree_east) ordered (94.95001W) to (57.04999W) by 0.1000001 N= 380 pts :grid
Latitud (latitude): grid: /Y (degree_north) ordered (24.95N) to (3.05N) by 0.1 N= 220 pts :grid

Other Info

bufferwordsize: 8
CE: 0.9960159
colorscalename: correlationcolorscale
CS: -0.9960159
datatype: doublearraytype
maxncolor: 254
missing_value: -999.0
pointwidth: 0
scale_max: 0.9960159
scale_min: -0.9960159
units: unitless
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
CMC CATATUMBO BIMESTRE speedCAPE LISOTD-0p1[RAYOS ODDS SPEARMAN ABOVE target_date 2AFC BELOW PROPENSION PROBABILIDADES ]
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
CMC CATATUMBO BIMESTRE speedCAPE LISOTD-0p1 target_date[ S \|]	M
CMC CATATUMBO BIMESTRE speedCAPE LISOTD-0p1 SPEARMAN[ 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