served from IRI/LDEO Climate Data Library
∫dT [ ENSOFORECAST LDEO1 06MON ssta ]
ssta int_dT from ENSOFORECAST LDEO1 06MON: forecast ssta fields.Independent Variables (Grids)
- Time
- grid: /T (months since 1960-01-01) ordered (0000 1 Jan 1972) to (0000 1 Sep 2000) by 1.0 N= 345 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
- bufferwordsize
- 8
- CE
- null
- CS
- null
- datatype
- doublearraytype
- file_missing_value
- -999.0
- missing_value
- NaN
- units
- 0.0833333333333333 degree_Kelvin year
References
Zebiak, S. E., M. A. Cane. A model El Niño-Southern Oscillation. Mon. Wea. Rev. 115, 1987
Last updated: Mon, 12 Sep 2016 21:27:17 GMT
Data Views
Views
data as colors
data as contours
colors with land
contours with land
colors with coasts| T | X | Y | |
 $integral dT$ [ ENSOFORECAST LDEO1 06MON ssta ][ X Y | T] | 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 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