data: root mean sq anom $integral dS$ [ ICPAC Forecasts CPT Rainfall Seasonal Forecast target

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root mean sq anom ∫dS [ ICPAC Forecasts CPT Rainfall Seasonal Forecast target_date ] : forecast time data

target_date int_dS forecast time from ICPAC Forecasts CPT Rainfall 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: 184124264
pointwidth: 3
scale_max: null
scale_min: null
standard_name: forecast_reference_time
units: 0.00694444444444444 ( year above 2000 ) year
history: Averaged over S[0000 16 Jan 2001, 0000 16 Feb 2020]

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

Data Views

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root mean sq anom $integral dS$ [ ICPAC Forecasts CPT Rainfall 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