data: IRI NOAA-VECTOR R0FCST PROBABILIDADES

IRI NOAA-VECTOR R0FCST PROBABILIDADES: Probabilities data

IRI NOAA-VECTOR R0FCST PROBABILIDADES.

Independent Variables (Grids)

Forecast Lead Time in Months: grid: /L (months) ordered [ (2.5)] :grid
Hecho en (forecast_reference_time): grid: /S (months since 1960-01-01) ordered (0000 1 Nov 2018) to (0000 1 Dec 2018) N= 2 pts :grid
Longitude (longitude): grid: /X (degree_east) ordered (125.25W) to (66.25W) by 0.5 N= 119 pts :grid
Latitude (latitude): grid: /Y (degree_north) ordered (50.25N) to (23.75N) by 0.5 N= 54 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

halfgreyscale

CS

datatype

realarraytype

file_missing_value

fnname

maskle

maxncolor

254

missing_value

NaN

pointwidth

scale_max

33.0

scale_min

1.0

units

ids

history

[ dominant_class ( IRI NOAA-VECTOR R0FCST R0FCST_DJF20182019 Above ) + masklt ( { [ dominant_class ( IRI NOAA-VECTOR R0FCST R0FCST_DJF20182019 ) - 1. ] * 11. } , 22 ) ] + [ dominant_class ( IRI NOAA-VECTOR R0FCST R0FCST_DJF20182019 Normal ) + masknotrange ( { [ dominant_class ( IRI NOAA-VECTOR R0FCST R0FCST_DJF20182019 ) - 1. ] * 11. } , 10 , 12 ) ]

dominant_class [ IRI NOAA-VECTOR R0FCST R0FCST_DJF20182019 Above ] + masklt [ ( { dominant_class [ IRI NOAA-VECTOR R0FCST R0FCST_DJF20182019 ] - 1. } * 11. ) , 22 ]

dominant_class [ IRI NOAA-VECTOR R0FCST R0FCST_DJF20182019 Above ]
dominant_class over R0FCST_DJF20182019[<35, >80]

masklt [ ( { dominant_class [ IRI NOAA-VECTOR R0FCST R0FCST_DJF20182019 ] - 1. } * 11. ) , 22 ]
dominant_class over C[Below, Above]

dominant_class [ IRI NOAA-VECTOR R0FCST R0FCST_DJF20182019 Normal ] + masknotrange [ ( { dominant_class [ IRI NOAA-VECTOR R0FCST R0FCST_DJF20182019 ] - 1. } * 11. ) , 10 , 12 ]

dominant_class [ IRI NOAA-VECTOR R0FCST R0FCST_DJF20182019 Normal ]
dominant_class over R0FCST_DJF20182019[<35, >80]

masknotrange [ ( { dominant_class [ IRI NOAA-VECTOR R0FCST R0FCST_DJF20182019 ] - 1. } * 11. ) , 10 , 12 ]
dominant_class over C[Below, Above]

dominant_class [ IRI NOAA-VECTOR R0FCST R0FCST_DJF20182019 Below ] + maskgt [ ( { dominant_class [ IRI NOAA-VECTOR R0FCST R0FCST_DJF20182019 ] - 1. } * 11. ) , 0 ]

dominant_class [ IRI NOAA-VECTOR R0FCST R0FCST_DJF20182019 Below ]
dominant_class over R0FCST_DJF20182019[<35, >80]

maskgt [ ( { dominant_class [ IRI NOAA-VECTOR R0FCST R0FCST_DJF20182019 ] - 1. } * 11. ) , 0 ]
dominant_class over C[Below, Above]

colorscale

Last updated: Thu, 24 Jan 2019 03:12:42 GMT
Expires: Tue, 05 Feb 2019 00:00:00 GMT

Data Views

	L	S	X	Y
IRI NOAA-VECTOR R0FCST[PROBABILIDADES target_date R0FCST_DJF20182019 ]
grid: /X (degree_east) ordered (125.25W) to (66.25W) by 0.5 N= 119 pts :grid			M
grid: /Y (degree_north) ordered (50.25N) to (23.75N) by 0.5 N= 54 pts :grid				M
grid: /S (months since 1960-01-01) ordered (0000 1 Nov 2018) to (0000 1 Dec 2018) N= 2 pts :grid		M
IRI NOAA-VECTOR R0FCST PROBABILIDADES 2.5 months[ X Y \| L S]	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
Differentiate along X Y S
Take differences along X Y S