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

mean ∫dS ∫dS [ ICPAC Forecasts CPT Rainfall Seasonal Forecast target_length ] : Length of forecast time data

target_length int_dS int_dS Length of 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

calendar

360

CE

null

CS

null

datatype

doublearraytype

missing_value

NaN

pointwidth

1.0

units

600 second year²

history

mean $integral dS$ $integral dS$ [ ICPAC Forecasts CPT Rainfall Seasonal Forecast target_length ]

Averaged in T with overlapping interval 3
Averaged over S[0000 1 Jan 2001, 0000 1 Mar 2020] minimum 0.0% data present

Last updated: Thu, 25 Feb 2021 08:46:12 GMT

Data Views

	L
mean $integral dS$ $integral dS$ [ ICPAC Forecasts CPT Rainfall Seasonal Forecast target_length ] 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