data: mean [ Ethiopia CPT NextGen FMAM_PRCP Models NCEP-CFSv2 Forecasts Prob ]

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mean [ Ethiopia CPT NextGen FMAM_PRCP Models NCEP-CFSv2 Forecasts Prob ]: Tercile Forecast data

Prob Tercile Forecast from Ethiopia CPT NextGen FMAM_PRCP Models NCEP-CFSv2 Forecasts: Forecast and Error.

Independent Variables (Grids)

Tercile Categories: grid: /C (ids) unordered [ (Below) (Normal) (Above)] :grid
Start time (forecast_reference_time): grid: /S (months since 1960-01-01) ordered (0000 1 Sep 2019) to (0000 1 Jan 2025) by 12.8 N= 6 pts :grid
Longitude (longitude): grid: /X (degree_east) periodic (33.125E) to (47.875E) by 0.25 N= 60 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: percent
standard units*: 0.01
history: Averaged over Y[3N, 15N] minimum 0.0% data present

Last updated: Wed, 01 Feb 2023 14:07:40 GMT
Expires: Thu, 01 Jan 2026 00:00:00 GMT

Data Views

	C	S	X
mean [ Ethiopia CPT NextGen FMAM_PRCP Models NCEP-CFSv2 Forecasts Prob ][ X C \| 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 C S
Differentiate along X C S
Take differences along X C S