data: mean [ ICPAC Forecasts CPT Rainfallv2 Seasonal History hindcast

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mean [ ICPAC Forecasts CPT Rainfallv2 Seasonal History hindcast_date ]: hindcast time data

hindcast_date hindcast time from ICPAC Forecasts CPT Rainfallv2 Seasonal History: Predictand, Hindcast and Skill. 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: 176404088
pointwidth: 3
scale_max: null
scale_min: null
units: months since 1960-01-01
standard units*: 0.0833333333333333 ( years since 1960-01-01 00:00.000000000 )
history: Averaged over S[0000 1 Jan 1982, 0000 1 Dec 2016]

Last updated: Wed, 12 May 2021 17:45:02 GMT

Data Views

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mean [ ICPAC Forecasts CPT Rainfallv2 Seasonal History hindcast_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