data: IRI CPT SOND Forecast TercProb

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IRI CPT SOND Forecast TercProb: Tercile Probabilities data

Tercile Probabilities from IRI CPT SOND Forecast: Forecast and Error.

Independent Variables (Grids)

Tercile Categories: grid: /C (ids) unordered [ (Below_Normal) (Near_Normal) (Above_Normal)] :grid
Start time (forecast_reference_time): grid: /S (months since 1960-01-01) ordered (0000 1 Aug 2015) to (0000 1 Aug 2016) N= 2 pts :grid
Longitude (longitude): grid: /X (degree_east) ordered (28.525E) to (30.975E) by 0.05000002 N= 50 pts :grid
Latitude (latitude): grid: /Y (degree_north) ordered (2.975S) to (1.025S) by 0.05 N= 40 pts :grid

Other Info

CE: 100
colorscalename: tercileclassesscale
CS: 0
datatype: realarraytype
file_missing_value: -9999.0
maxncolor: 254
missing_value: NaN
scale_max: 100.0
scale_min: 0.0
units: percent
standard units*: 0.01
history: percentiles computed over S:Aug 1982 - Jul 2014 0% min data present
colorscale

Last updated: Wed, 11 Dec 2019 13:31:54 GMT

Data Views

	C	S	X	Y
IRI CPT SOND Forecast TercProb[ X Y S \| C]	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 S C
Differentiate along X Y S C
Take differences along X Y S C