served from IRI/LDEO Climate Data Library
IRI FD Seasonal_Forecast Climatologies c6998 monthly prcp: precipitation data
Climatologies c6998 monthly precipitation from IRI FD Seasonal_Forecast: Seasonal forecasts for probabilities of below-normal, above-normal, and extreme precipitation and temperature.Independent Variables (Grids)
- Time (time)
- grid: /T (months since 01-Jan) periodic (Jan) to (Dec) by 1.0 N= 12 pts :grid
- Longitude (longitude)
- grid: /X (degree_east) periodic (1.25E) to (1.25W) 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
- missing_value
- -9999.0
- units
- mm /day
- standard units*
- 1.15740740740741×10-08 meter second-1
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: Wed, 13 Feb 2019 20:27:28 GMT
Data Views
Views
data as colors
data as contours
colors with land
contours with land
colors with coasts| T | X | Y | |
 IRI FD Seasonal_Forecast Climatologies c6998 monthly prcp[ X Y | T] | 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 T
- Differentiate along X Y T
- Take differences along X Y T
RMS (root mean square with mean *not* removed) over X Y T | X Y X T Y T | X Y T |
RMSA (root mean square with mean removed) over X Y T | X Y X T Y T | X Y T |
Maximum over X Y T | X Y X T Y T | X Y T |
Minimum over X Y T | X Y X T Y T | X Y T |
Detrend (best-fit-line) over X Y T | X Y X T Y T | X Y T |
Note on units