served from 181.199.253.14
∫dSh [ Hydromet Seasonal_Forecast Precipitation hindcast_length ]: Length of hindcast time data
Precipitation hindcast_length hindcast_length int_dSh 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 (days since 1960-01-01) ordered [ (1200 16 Dec 1980 - 1200 16 Jan 1981) (1200 16 Jan 1981 - 2400 14 Feb 1981) (0000 15 Feb 1981 - 1200 16 Mar 1981) ... (16 Nov 2010 - 15 Dec 2010)] N= 360 pts :grid
Other Info
- calendar
- 360
- CE
- null
- CS
- null
- datatype
- realarraytype
- missing_value
- NaN
- pointwidth
- 1.0
- units
- 7464960000 second2udunits(3): Invalid integer udunits(3): Invalid integer
- standard units*
- history
- Averaged in T with overlapping interval 3
Last updated: Fri, 12 Jan 2024 14:16:35 GMT
Data Views
Views
line plots
color bars
scatter| L | Sh | |
 Hydromet Seasonal_Forecast Precipitation[History
Forecast
target_date
hindcast_length
target_length
hindcast_date
] | ||
 $integral dSh$ [ Hydromet Seasonal_Forecast Precipitation hindcast_length ] 2.5 months[ Sh L |] | M | 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 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