data: IRI CPT SOND Forecast DomTerProb

IRI CPT SOND Forecast DomTerProb: Dominant Tercile Probabilities data

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

Independent Variables (Grids)

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

Key
1.0	<35 Below
2.0	35-40 Below
3.0	40-45 Below
4.0	45-50 Below
5.0	50-55 Below
6.0	55-60 Below
7.0	60-65 Below
8.0	65-70 Below
9.0	70-75 Below
10.0	75-80 Below
11.0	>80 Below
12.0	<35 Normal
13.0	35-40 Normal
14.0	40-45 Normal
15.0	45-50 Normal
16.0	50-55 Normal
17.0	55-60 Normal
18.0	60-65 Normal
19.0	65-70 Normal
20.0	70-75 Normal
21.0	75-80 Normal
22.0	>80 Normal
23.0	<35 Above
24.0	35-40 Above
25.0	40-45 Above
26.0	45-50 Above
27.0	50-55 Above
28.0	55-60 Above
29.0	60-65 Above
30.0	65-70 Above
31.0	70-75 Above
32.0	75-80 Above
33.0	>80 Above

bufferwordsize

CE

colorscalename

tercileclassesscale

CS

datatype

realarraytype

file_missing_value

fnname

maskle

maxncolor

254

missing_value

NaN

scale_max

33.0

scale_min

1.0

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]

colorscale

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

Data Views

	S	X	Y
IRI CPT SOND Forecast DomTerProb[ 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