served from IRI/LDEO Climate Data Library
∫dY [ ENSOFORECAST LDEO1 CACSM ssta ]
ssta int_dY from ENSOFORECAST LDEO1 CACSM: observed ssta fields.Independent Variables (Grids)
- Time
- grid: /T (months since 1960-01-01) ordered (Jan 1972) to (Feb 2000) by 1.0 N= 338 pts :grid
- Longitude
- grid: /X (degree_east) ordered (124E) to (72W) by 4.0 N= 42 pts :grid
- Latitude
- grid: /Y (degree_north) ordered (30S) to (30N) by 2.0 N= 31 pts :grid
Other Info
- bufferwordsize
- 8
- datatype
- doublearraytype
- file_missing_value
- -999.0
- missing_value
- NaN
- units
- 0.0174532925199433 degree_Kelvin radian north
- history
- CACSM SSTA with land gridded as in the forecasts
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 | |
 $integral dY$ [ ENSOFORECAST LDEO1 CACSM 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