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

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

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

Independent Variables (Grids)

Latitude (latitude): grid: /Y (degree_north) ordered (17.9S) to (8.1S) by 0.251282 N= 40 pts :grid

Other Info

CE

null

colorscalename

tercileclassesscale

CS

null

datatype

realarraytype

file_missing_value

-1.0

maxncolor

254

missing_value

NaN

pointwidth

units

percent ids

history

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

Averaged over C[Below, Above�] S[0000 1 Aug 2020, 0000 1 Dec 2021] minimum 0.0% data present
max over X[20.22545E, 33.77455E]

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

Data Views

	Y
max root mean sq $integral dC$ [ ZMD CPT GFDL-CM2p5-FLOR-A06 Prob ] [ 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