data: IRI FD Seasonal_Forecast Precipitation target

served from IRI/LDEO Climate Data Library

IRI FD Seasonal_Forecast Precipitation target_date: forecast time data

Precipitation forecast time from IRI FD Seasonal_Forecast: Seasonal forecasts for probabilities of below-normal, above-normal, and extreme precipitation and temperature.

Independent Variables (Grids)

Month Forecast Issued: grid: /F (months since 1960-01-01) ordered [ (Sep 1997) (Dec 1997) (Mar 1998) ... (Mar 2017)] N= 205 pts :grid
Forecast Lead Time in Months: grid: /L (months) ordered (1.0 months) to (4.0 months) by 1.0 N= 4 pts :grid

Other Info

calendar: 360
CE: null
CS: null
datatype: realarraytype
gridid: 186573760
pointwidth: 3
scale_max: null
scale_min: null
standard_name: time
units: months since 1960-01-01
standard units*: 0.0833333333333333 ( years since 1960-01-01 00:00.000000000 )

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 19:16:14 GMT

Data Views

	F	L
IRI FD Seasonal_Forecast Precipitation target_date[ 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

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