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root mean sq anom ∂S [ Hydromet Seasonal_Forecast Precipitation target_length ] : ∂S Length of forecast time data
Precipitation target_length partial_S ∂S Length of forecast time from Hydromet Seasonal_Forecast: Seasonal Forecast. isIndependent 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
- missing_value
- NaN
- pointwidth
- 1.0
- units
- 1036800 second year-1
- history
- root mean sq anom $partialdiff sub S$ [ Hydromet Seasonal_Forecast Precipitation target_length ]
- Averaged in T with overlapping interval 3
Averaged over S[Apr 2019, Jul 2021] minimum 0.0% data present
- Averaged in T with overlapping interval 3
Last updated: Fri, 12 Jan 2024 14:16:35 GMT
Data Views
| L | |
 Hydromet Seasonal_Forecast Precipitation[target_date
Forecast
hindcast_length
target_length
hindcast_date
History
] | |
 root mean sq anom $partialdiff sub S$ [ Hydromet Seasonal_Forecast Precipitation 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
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