data: detrended-bfl [ IRI CPT JAS WDF Forecast TercProb ]

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detrended-bfl [ IRI CPT JAS WDF Forecast TercProb ]: Tercile Probabilities data

TercProb Tercile Probabilities from IRI CPT JAS WDF 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 Apr 2015) to (0000 1 Apr 2018) by 12.0 N= 4 pts :grid
Longitude (longitude): grid: /X (degree_east) ordered (16.75W) to (19.75E) by 0.5 N= 74 pts :grid
Latitude (latitude): grid: /Y (degree_north) ordered (5.25N) to (19.75N) by 0.5 N= 30 pts :grid

Other Info

bufferwordsize: 8
CE: null
colorscalename: tercileclassesscale
CS: null
datatype: doublearraytype
file_missing_value: -999.0
maxncolor: 254
missing_value: NaN
units: percent
standard units*: 0.01
history: percentiles computed over S:Apr 1982 - Mar 2014 0% min data present

Last updated: Fri, 01 Jun 2018 13:30:16 GMT

Data Views

	C	S	X	Y
detrended-bfl [ IRI CPT JAS WDF 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