served from IRI/LDEO Climate Data Library
ENSOFORECAST LDEO1 09MON ssta climatology
ssta ssta from ENSOFORECAST LDEO1 09MON: forecast ssta fields.Independent Variables (Grids)
- Time
- grid: /T (months since 01-Jan) periodic (Jan) to (Dec) by 1.0 N= 12 pts :grid
- Longitude
- grid: /X (degree_east) ordered (124E) to (72W) by 4.0 N= 42 pts :grid
- Latitude
- grid: /Y (degree_north) ordered (29S) to (29N) by 2.0 N= 30 pts :grid
Other Info
- CE
- null
- CS
- null
- datatype
- realarraytype
- file_missing_value
- -999.0
- missing_value
- NaN
- units
- degC
- standard units*
- degree_Kelvin
- history
- Averaged over T2[1972, 1999] minimum 0.0% data present
References
Zebiak, S. E., M. A. Cane. A model El Niño-Southern Oscillation. Mon. Wea. Rev. 115, 1987
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 | |
 ENSOFORECAST LDEO1 09MON ssta climatology[ 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