data: min [ IRI CPT JAS WDF Forecast TercProb ]

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min [ 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

Other Info

CE

100

colorscalename

tercileclassesscale

CS

datatype

realarraytype

file_missing_value

-999.0

maxncolor

254

missing_value

NaN

scale_max

100.0

scale_min

0.0

units

percent

standard units*

0.01

history

min [ IRI CPT JAS WDF Forecast TercProb ]

percentiles computed over S:Apr 1982 - Mar 2014 0% min data present
min over X[16.75W, 19.75E] Y[5.25N, 19.75N] S[0000 1 Apr 2015, 0000 1 Apr 2018]

colorscale

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

Data Views

	C
min [ IRI CPT JAS WDF Forecast TercProb ][ \| C]	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 C
Differentiate along C
Take differences along C