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

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

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

Independent Variables (Grids)

S (forecast_reference_time): grid: /S (months since 1960-01-01) ordered (0000 16 Jul 2020) to (0000 16 Dec 2021) by 1.0 N= 18 pts :grid
Longitude (longitude): grid: /X (degree_east) ordered (19.97455E) to (34.02546E) by 0.2509091 N= 57 pts :grid
Latitude (latitude): grid: /Y (degree_north) ordered (17.9S) to (8.1S) by 0.251282 N= 40 pts :grid

Other Info

bufferwordsize: 8
CE: null
colorscalename: tercileclassesscale
CS: null
datatype: doublearraytype
file_missing_value: -1.0
maxncolor: 254
missing_value: NaN
pointwidth: 0
units: 1.45444104332861×10^-05 radian east year
history: Averaged over C[Below, Above] 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

	S	X	Y
root mean sq anom detrended-bfl $integral dX$ $integral dS$ [ ZMD CPT GFDL-CM2p5-FLOR-A06 Prob ] [ 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