data: mean [ ICPAC Forecasts CPT Rainfallv2 Seasonal Forecast target

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mean [ ICPAC Forecasts CPT Rainfallv2 Seasonal Forecast target_date ]: forecast time data

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

Independent Variables (Grids)

Forecast Lead Time in Months: grid: /L (months) ordered [ (2.5)] :grid

Other Info

bufferwordsize: 8
calendar: 360
CE: null
CS: null
datatype: doublearraytype
gridid: 183573160
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 )
history: Averaged over S[0000 1 Feb 2021, 0000 1 Jul 2022]

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

Data Views

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

Average over
RMS (root mean square with mean *not* removed) over
RMSA (root mean square with mean removed) over
Maximum over
Minimum over
Detrend (best-fit-line) over

Note on units