data: root mean sq anom [ IRI CPT SOND Forecast DomTerProb ]

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root mean sq anom [ IRI CPT SOND Forecast DomTerProb ]: Dominant Tercile Probabilities data

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

Independent Variables (Grids)

Latitude (latitude): grid: /Y (degree_north) ordered (2.975S) to (1.025S) by 0.05 N= 40 pts :grid

Other Info

bufferwordsize

CE

null

colorscalename

tercileclassesscale

CS

null

datatype

doublearraytype

file_missing_value

fnname

maskle

maxncolor

254

missing_value

NaN

units

ids

history

[ masklt ( { [ dominant_class ( IRI CPT SOND Forecast TercProb ) - 1. ] * 11. } , 22 ) + dominant_class ( IRI CPT SOND Forecast TercProb Above_Normal ) ] + [ masknotrange ( { [ dominant_class ( IRI CPT SOND Forecast TercProb ) - 1. ] * 11. } , 10 , 12 ) + dominant_class ( IRI CPT SOND Forecast TercProb Near_Normal ) ]

masklt [ ( { dominant_class [ IRI CPT SOND Forecast TercProb ] - 1. } * 11. ) , 22 ] + dominant_class [ IRI CPT SOND Forecast TercProb Above_Normal ]

masklt [ ( { dominant_class [ IRI CPT SOND Forecast TercProb ] - 1. } * 11. ) , 22 ]

[ dominant_class ( IRI CPT SOND Forecast TercProb ) - 1. ] * 11.

percentiles computed over S:Aug 1982 - Jul 2014 0% min data present
dominant_class over C[Below_Normal, Above_Normal]

dominant_class [ IRI CPT SOND Forecast TercProb Above_Normal ]

percentiles computed over S:Aug 1982 - Jul 2014 0% min data present
dominant_class over TercProb[<35, >80]

masknotrange [ ( { dominant_class [ IRI CPT SOND Forecast TercProb ] - 1. } * 11. ) , 10 , 12 ] + dominant_class [ IRI CPT SOND Forecast TercProb Near_Normal ]

masknotrange [ ( { dominant_class [ IRI CPT SOND Forecast TercProb ] - 1. } * 11. ) , 10 , 12 ]

[ dominant_class ( IRI CPT SOND Forecast TercProb ) - 1. ] * 11.

percentiles computed over S:Aug 1982 - Jul 2014 0% min data present
dominant_class over C[Below_Normal, Above_Normal]

dominant_class [ IRI CPT SOND Forecast TercProb Near_Normal ]

percentiles computed over S:Aug 1982 - Jul 2014 0% min data present
dominant_class over TercProb[<35, >80]

maskgt [ ( { dominant_class [ IRI CPT SOND Forecast TercProb ] - 1. } * 11. ) , 0 ] + dominant_class [ IRI CPT SOND Forecast TercProb Below_Normal ]

maskgt [ ( { dominant_class [ IRI CPT SOND Forecast TercProb ] - 1. } * 11. ) , 0 ]

[ dominant_class ( IRI CPT SOND Forecast TercProb ) - 1. ] * 11.

percentiles computed over S:Aug 1982 - Jul 2014 0% min data present
dominant_class over C[Below_Normal, Above_Normal]

dominant_class [ IRI CPT SOND Forecast TercProb Below_Normal ]

percentiles computed over S:Aug 1982 - Jul 2014 0% min data present
dominant_class over TercProb[<35, >80]

root mean sq anom [ IRI CPT SOND Forecast DomTerProb ]

Averaged over X[28.55E, 30.95E] S[0000 1 Aug 2015, 0000 1 Aug 2016] minimum 0.0% data present

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

Data Views

	Y
root mean sq anom [ IRI CPT SOND Forecast DomTerProb ][ Y \|]	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 Y
Differentiate along Y
Take differences along Y