data: $integral dF$ [ IRI FD Seasonal_Forecast Precipitation dominant ]

served from IRI/LDEO Climate Data Library

∫dF [ IRI FD Seasonal_Forecast Precipitation dominant ]: Dominant Tercile Probability data

Precipitation dominant Dominant Tercile Probability 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 Sep 1997) (0000 1 Dec 1997) (0000 1 Mar 1998) ... (0000 1 Apr 2017)] N= 206 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
Longitude (longitude): grid: /X (degree_east) periodic (178.75W) to (178.75E) by 2.5 N= 144 pts :grid
Latitude (latitude): grid: /Y (degree_north) ordered (88.75N) to (88.75S) by 2.5 N= 72 pts :grid

Other Info

bufferwordsize: 8
CE: null
colorscalename: tercileclassesscale
CS: null
datatype: doublearraytype
file_missing_value: -9.0
fnname: masklt
maxncolor: 254
missing_value: NaN
units: 0.000833333333333333 year

References

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Last updated: Tue, 23 Nov 2021 19:15:51 GMT

Data Views

	F	L	X	Y
$integral dF$ [ IRI FD Seasonal_Forecast Precipitation dominant ][ X Y \| L F]	M	M	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 X Y L F
Differentiate along X Y L F
Take differences along X Y L F