data: root mean sq $integral dS$ mean [ ZMD CPT GFDL-CM2p5-FLOR-A06 Prob ]

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root mean sq ∫dS mean [ ZMD CPT GFDL-CM2p5-FLOR-A06 Prob ] : Tercile Forecast data

CPT GFDL-CM2p5-FLOR-A06 Prob Prob int_dS Tercile Forecast from ZMD: Zambia Meteorological Department.

Independent Variables (Grids)

Longitude (longitude): grid: /X (degree_east) ordered (20.1E) to (33.9E) by 0.2509091 N= 56 pts :grid

Other Info

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CE

null

colorscalename

tercileclassesscale

CS

null

datatype

doublearraytype

file_missing_value

-1.0

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254

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NaN

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units

0.000833333333333333 year

history

root mean sq $integral dS$ mean [ ZMD CPT GFDL-CM2p5-FLOR-A06 Prob ]

Averaged over Y[18.02564S, 7.97436S] C[Below, Above] minimum 0.0% data present
Averaged over S[0000 16 Jul 2020, 0000 16 Dec 2021] minimum 0.0% data present

Last updated: Thu, 10 Feb 2022 00:03:57 GMT
Expires: Sat, 12 Mar 2022 00:00:00 GMT

Data Views

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root mean sq $integral dS$ mean [ ZMD CPT GFDL-CM2p5-FLOR-A06 Prob ] [ X \|]	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
Differentiate along X
Take differences along X