data: ICPAC Forecasts CPT Rainfallv2 Seasonal Forecast target

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ICPAC Forecasts CPT Rainfallv2 Seasonal Forecast target_date: forecast time data

forecast time from ICPAC Forecasts CPT Rainfallv2 Seasonal Forecast: Forecast and Error.

Independent Variables (Grids)

Forecast Lead Time in Months: grid: /L (months) ordered [ (2.5)] :grid
Forecast Issue Date (forecast_reference_time): grid: /S (months since 1960-01-01) ordered (0000 1 Feb 2021) to (0000 1 Jul 2022) by 1.0 N= 18 pts :grid

Other Info

calendar: 360
CE: null
CS: null
datatype: realarraytype
gridid: 188994448
pointwidth: 3
scale_max: null
scale_min: null
standard_name: forecast_reference_time
units: months since 1960-01-01
standard units*: 0.0833333333333333 ( years since 1960-01-01 00:00.000000000 )

Last updated: Thu, 28 Jul 2022 20:33:36 GMT
Expires: Wed, 09 Jun 2021 00:00:00 GMT

Data Views

	L	S
ICPAC Forecasts CPT Rainfallv2 Seasonal Forecast target_date 2.5 months[ S L \|]	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 S
Differentiate along S
Take differences along S