data: $partialdiff sub Y$ $integral dS$ [ ZMD CPT GFDL-CM2p5-FLOR-A06 Prob ]

∂_Y ∫dS [ ZMD CPT GFDL-CM2p5-FLOR-A06 Prob ] : ∂_Y Tercile Forecast data

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

Independent Variables (Grids)

C: grid: /C (ids) unordered [ (��) (@f� 0f� f� )] :grid
S (forecast_reference_time): grid: /S (months since 1960-01-01) ordered (16 Jul 2020 - 15 Aug 2020) to (16 Nov 2021 - 15 Dec 2021) by 1.0 N= 17 pts :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 (17.77436S) to (8.225641S) by 0.251282 N= 39 pts :grid

Other Info

CE: null
colorscalename: tercileclassesscale
CS: null
datatype: realarraytype
file_missing_value: -1.0
maxncolor: 254
missing_value: NaN
pointwidth: 0
units: 0.0477464829275686 radian^-1 north year

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

Data Views

	C	S	X	Y
$partialdiff sub Y$ $integral dS$ [ ZMD CPT GFDL-CM2p5-FLOR-A06 Prob ] [ X Y C \| S]	M	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 S
Differentiate along X Y C S
Take differences along X Y C S

∂Y ∫dS [ ZMD CPT GFDL-CM2p5-FLOR-A06 Prob ] : ∂Y Tercile Forecast data

Independent Variables (Grids)

Other Info

Data Views

Filters

∂_Y ∫dS [ ZMD CPT GFDL-CM2p5-FLOR-A06 Prob ] : ∂_Y Tercile Forecast data