served from IRI/LDEO Climate Data Library
∫dY [ IRI FD Seasonal_Forecast PiC pic12mo_same ]: Same Tendency in Forecast and 12-Month Precipitation Observation data
pic12mo_same Same Tendency in Forecast and 12-Month Precipitation Observation from IRI FD Seasonal_Forecast PiC: Predictions in Context.Independent Variables (Grids)
- Month Forecast Issued
- grid: /F (months since 1960-01-01) ordered (Jun 2001) to (Mar 2017) by 1.0 N= 190 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 (90S) to (90N) by 2.5 N= 73 pts :grid
Other Info
- bufferwordsize
- 8
- CE
- null
- CS
- null
- datatype
- doublearraytype
- file_missing_value
- 0
- fnname
- maskrange
- gridid
- 172954320
- maxncolor
- 8
- missing_value
- NaN
- plotfirst
- 1
- plotlast
- 4
- pointwidth
- 1.0
- shiftlag
- 0.0
- standard_name
- time
- units
- ids degree_north
- history
- percentile [ NOAA NCEP CPC CAMS_OPI v0208 mean prcp ]
- Averaged in T with overlapping interval 12
Boxes with less than 0.0% dropped
- Averaged in T with overlapping interval 12
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, 15 May 2024 11:45:23 GMT
Expires: Sat, 01 Jun 2024 00:00:00 GMT
Data Views
Views
data as colors
data as contours
colors with land
contours with land
colors with coasts| F | X | Y | |
 $integral dY$ [ IRI FD Seasonal_Forecast PiC pic12mo_same ][ | X Y F] | 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 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