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∫dSh ∂Sh ∫dSh [ Hydromet Seasonal_Forecast Precipitation hindcast_length ] : ∂Sh Length of hindcast time data
Precipitation hindcast_length int_dSh partial_Sh ∂Sh Length of hindcast time from Hydromet Seasonal_Forecast: Seasonal Forecast.Independent Variables (Grids)
- Forecast Lead Time in Months
- grid: /L (months) ordered [ (2.5)] :grid
- Sh (forecast_reference_time)
- grid: /Sh (months since 1960-01-01) ordered (0000 16 Dec 1980) to (0000 16 Dec 2010) by 1.0 N= 361 pts :grid
Other Info
- bufferwordsize
- 8
- calendar
- 360
- CE
- null
- CS
- null
- datatype
- doublearraytype
- missing_value
- NaN
- pointwidth
- 1.0
- units
- 7200 second year
- history
- Averaged in T with overlapping interval 3
Last updated: Fri, 12 Jan 2024 14:16:35 GMT
Data Views
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scatter| L | Sh | |
 $integral dSh$ $partialdiff sub Sh$ $integral dSh$ [ Hydromet Seasonal_Forecast Precipitation hindcast_length ] 2.5 months[ Sh 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 Sh
- Differentiate along Sh
- Take differences along Sh
RMS (root mean square with mean *not* removed) over Sh |
RMSA (root mean square with mean removed) over Sh |
Maximum over Sh |
Minimum over Sh |
Detrend (best-fit-line) over Sh |
Note on units