data: Ethiopia CPT NextGen FMAM_PRCP Models COLA-RSMAS-CCSM4 Forecasts Prob

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Ethiopia CPT NextGen FMAM_PRCP Models COLA-RSMAS-CCSM4 Forecasts Prob: Tercile Forecast data

Prob Tercile Forecast from Ethiopia CPT NextGen FMAM_PRCP Models COLA-RSMAS-CCSM4 Forecasts: Forecast and Error.

Independent Variables (Grids)

Tercile Categories: grid: /C (ids) unordered [ (Below) (Normal) (Above)] :grid
S (forecast_reference_time): grid: /S (months since 1960-01-01) ordered (1 Sep 2019 - 24 Sep 2020) to (7 Dec 2023 - 30 Dec 2024) by 12.79999 N= 5 pts :grid
Longitude (longitude): grid: /X (degree_east) periodic (33.125E) to (47.875E) by 0.25 N= 60 pts :grid
Latitude (latitude): grid: /Y (degree_north) ordered (3.125N) to (14.875N) by 0.25 N= 48 pts :grid

Other Info

bufferwordsize: 4
CE: 100
colorscalename: tercileclassesscale
CS: 0
datatype: realarraytype
file_missing_value: -1.0
maxncolor: 254
missing_value: NaN
pointwidth: 0
units: percent
standard units*: 0.01
colorscale

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

Data Views

	C	S	X	Y
Ethiopia CPT NextGen FMAM_PRCP Models COLA-RSMAS-CCSM4 Forecasts 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