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∂S [ ICPAC Forecasts CPT Rainfall Seasonal Forecast target_length ]: ∂S Length of forecast time data
target_length ∂S Length of 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 (Feb 2001) to (Jan 2020) by 1.0 N= 228 pts :grid
Other Info
- calendar
- 360
- CE
- null
- CS
- null
- datatype
- realarraytype
- missing_value
- NaN
- pointwidth
- 1.0
- units
- 1036800 second year-1
- history
- Averaged in T with overlapping interval 3
Last updated: Thu, 25 Feb 2021 08:46:12 GMT
Data Views
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scatter| L | S | |
 $partialdiff sub S$ [ ICPAC Forecasts CPT Rainfall Seasonal Forecast target_length ] 2.5 months[ S L |] | M | M |
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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
RMS (root mean square with mean *not* removed) over S |
RMSA (root mean square with mean removed) over S |
Maximum over S |
Minimum over S |
Detrend (best-fit-line) over S |
Note on units