data: min $integral dX$ [ ZMD CPT NCEP-CFSv2 Prob ]

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min ∫dX [ ZMD CPT NCEP-CFSv2 Prob ] : Tercile Forecast data

CPT NCEP-CFSv2 Prob Prob int_dX Tercile Forecast from ZMD: Zambia Meteorological Department.

Independent Variables (Grids)

Tercile Categories: grid: /C (ids) unordered [ (Below) (Normal) (Above)] :grid
Longitude (longitude): grid: /X (degree_east) ordered (20.1E) to (33.9E) by 0.2509091 N= 56 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: 100
colorscalename: tercileclassesscale
CS: 0
datatype: doublearraytype
file_missing_value: -1.0
maxncolor: 254
missing_value: NaN
pointwidth: 0
units: 0.000174532925199433 radian east
history: min over S[0000 1 Aug 2020, 0000 1 Dec 2021]
colorscale

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

Data Views

	C	X	Y
ZMD CPT NCEP-CFSv2[target_date dof xValPred hindcast_length target_length Var Prob hindcast_date Obs Mu ]
grid: /X (degree_east) ordered (20.1E) to (33.9E) by 0.2509091 N= 56 pts :grid		M
grid: /Y (degree_north) ordered (17.9S) to (8.1S) by 0.251282 N= 40 pts :grid			M
grid: /C (ids) unordered [ (Below) (Normal) (Above)] :grid	M
grid: /S (months since 1960-01-01) ordered (0000 1 Aug 2020) to (0000 1 Dec 2021) by 1.0 N= 17 pts :grid
min $integral dX$ [ ZMD CPT NCEP-CFSv2 Prob ] [ X Y C \|]	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 C
Differentiate along X Y C
Take differences along X Y C