data: $integral dS$ [ ICPAC Forecasts CPT Rainfall Seasonal Forecast target

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∫dS [ ICPAC Forecasts CPT Rainfall Seasonal Forecast target_date ]: forecast time data

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

Independent Variables (Grids)

Forecast Lead Time in Months: grid: /L (months) ordered [ (2.5)] :grid
S (forecast_reference_time): grid: /S (months since 1960-01-01) ordered (0000 16 Jan 2001) to (0000 16 Feb 2020) by 1.0 N= 230 pts :grid

Other Info

bufferwordsize: 8
calendar: 360
CE: null
CS: null
datatype: doublearraytype
gridid: 184106568
pointwidth: 3
scale_max: null
scale_min: null
standard_name: forecast_reference_time
units: 0.00694444444444444 ( year above 2000 ) year

Last updated: Thu, 25 Feb 2021 08:46:12 GMT
Expires: Tue, 09 Mar 2021 00:00:00 GMT

Data Views

	L	S
$integral dS$ [ ICPAC Forecasts CPT Rainfall 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