served from IRI/LDEO Climate Data Library
∫dF ∂L [ IRI FD Seasonal_Forecast Temperature target_season ] : ∂L data
Temperature target_season partial_L ∂L 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 Nov 1997) (0000 1 Feb 1998) (0000 1 May 1998) ... (0000 1 Apr 2017)] N= 205 pts :grid
- L
- grid: /L (months) ordered (1.5 months) to (3.5 months) by 1.0 N= 3 pts :grid
Other Info
- bufferwordsize
- 8
- datatype
- doublearraytype
- units
- unitless
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
Data Views
Views
data as colors
data as contours
line plots
color bars| F | L | |
 $integral dF$ $partialdiff sub L$ [ IRI FD Seasonal_Forecast Temperature target_season ] [ F 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 F L
- Differentiate along F L
- Take differences along 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