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∂S [ Hydromet Seasonal_Forecast Precipitation target_date ]: ∂S forecast time data
Precipitation target_date partial_S ∂S forecast time from Hydromet Seasonal_Forecast: Seasonal Forecast.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 (16 Apr 2019 - 15 May 2019) to (16 Jun 2021 - 15 Jul 2021) by 1.0 N= 27 pts :grid
Other Info
- calendar
- 360
- CE
- null
- CS
- null
- datatype
- realarraytype
- gridid
- 191157472
- pointwidth
- 3
- scale_max
- null
- scale_min
- null
- standard_name
- forecast_reference_time
- units
- unitless
Last updated: Fri, 12 Jan 2024 14:16:35 GMT
Expires: Fri, 09 Feb 2024 00:00:00 GMT
Data Views
Views
line plots
color bars
scatter| L | S | |
 Hydromet Seasonal_Forecast Precipitation[target_length
hindcast_date
History
target_date
Forecast
hindcast_length
] | ||
 $partialdiff sub S$ [ Hydromet Seasonal_Forecast Precipitation target_date ] 2.5 months[ S 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 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