data: root mean sq max root mean sq [ IRI NOAA-VECTOR R0FCST R0FCST

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root mean sq max root mean sq [ IRI NOAA-VECTOR R0FCST R0FCST_DJF20182019 ] : Probabilidades - R0 - Categorías data

root mean sq max root mean sq [ IRI NOAA-VECTOR R0FCST R0FCST_DJF20182019 ] .

Independent Variables (Grids)

Forecast Lead Time in Months: grid: /L (months) ordered [ (2.5)] :grid
Latitude (latitude): grid: /Y (degree_north) ordered (50.25N) to (23.75N) by 0.5 N= 54 pts :grid

Other Info

bufferwordsize

CE

null

CS

null

datatype

doublearraytype

file_missing_value

-1.0

missing_value

NaN

pointwidth

units

percent

standard units*

0.01

history

max root mean sq [ IRI NOAA-VECTOR R0FCST R0FCST_DJF20182019 ]

Averaged over X[125.5W, 66W] minimum 0.0% data present
max over C[, ��u Дu ��u ]

root mean sq max root mean sq [ IRI NOAA-VECTOR R0FCST R0FCST_DJF20182019 ]

Averaged over S[0000 1 Nov 2018, 0000 1 Dec 2018] minimum 0.0% data present

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

Data Views

	L	Y
root mean sq max root mean sq [ IRI NOAA-VECTOR R0FCST R0FCST_DJF20182019 ] 2.5 months[ Y \| L]	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 Y
Differentiate along Y
Take differences along Y