served from IRI/LDEO Climate Data Library
IRI MD IFRC IRI Seasonal_Forecast extreme_prcp_fcst: Probability of Extreme Precipitation data
Probability of Extreme Precipitation from IRI MD IFRC IRI Seasonal_Forecast: IRI Forecast Products for the Precipitation Forecast in Context Map Tool.Independent Variables (Grids)
- Month Forecast Issued
- grid: /F (months since 1960-01-01) ordered [ (Mar 1998) (Jun 1998) (Sep 1998) ... (Mar 2017)] N= 203 pts :grid
- Forecast Lead Time in Months
- grid: /L (months) ordered [ (1)] :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 (66.25S) to (76.25N) by 2.5 N= 58 pts :grid
Other Info
- CE
- 99.601593
- CS
- -99.601593
- datatype
- realarraytype
- file_missing_value
- 0
- maxncolor
- 254
- missing_value
- -9
- scale_max
- 99.601593
- scale_min
- -99.601593
- units
- unitless
- colorscale
Last updated: Mon, 15 Apr 2024 12:00:12 GMT
Data Views
Views
data as colors
data as contours
colors with land
contours with land
colors with coasts| F | L | X | Y | |
 IRI MD IFRC IRI Seasonal_Forecast extreme_prcp_fcst 1 months[ X Y | L F] | M | M | M | M |
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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 F
- Differentiate along X Y F
- Take differences along X Y F
RMS (root mean square with mean *not* removed) over X Y F | X Y X F Y F | X Y F |
RMSA (root mean square with mean removed) over X Y F | X Y X F Y F | X Y F |
Maximum over X Y F | X Y X F Y F | X Y F |
Minimum over X Y F | X Y X F Y F | X Y F |
Detrend (best-fit-line) over X Y F | X Y X F Y F | X Y F |
Note on units