∂L ∫dF [ IRI FD Seasonal_Forecast Precipitation target_date ] : ∂L forecast time data
Precipitation target_date int_dF
∂L forecast time from IRI FD Seasonal_Forecast: Seasonal forecasts for probabilities of below-normal, above-normal, and extreme precipitation and temperature.
Independent Variables (Grids)
- F
- grid: /F (months since 1960-01-01) ordered [ (0000 1 Aug 1997) (0000 1 Nov 1997) (0000 1 Feb 1998) ... (0000 1 Apr 2017)] N= 206 pts :grid
- L
- grid: /L (months) ordered (1.5 months) to (3.5 months) by 1.0 N= 3 pts :grid
Other Info
- calendar
- 360
- CE
- null
- CS
- null
- datatype
- realarraytype
- gridid
- 185732408
- pointwidth
- 3
- scale_max
- null
- scale_min
- null
- standard_name
- time
- units
- months
- standard units*
- 0.0833333333333333 year
References
Barnston, A.G., S.J. Mason, L. Goddard, D.G. DeWitt, S.E. Zebiak. 2003. Multimodel Ensembling in Seasonal Climate Forecasting at IRI. Bull. Amer. Met. Soc. 84 (12): 1783-1796.
Last updated: Tue, 23 Nov 2021 19:15:51 GMT
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 F
L
- Differentiate along F
L
- Take differences along F
L
Average over
F
L
|
F L
|
RMS (root mean square with mean *not* removed) over
F
L
|
F L
|
RMSA (root mean square with mean removed) over
F
L
|
F L
|
Maximum over
F
L
|
F L
|
Minimum over
F
L
|
F L
|
Detrend (best-fit-line) over
F
L
|
F L
|
Note on units