served from IRI/LDEO Climate Data Library
∫dX [ CAC ssta ]: Sea Surface Temperature Anomaly data
ssta Sea Surface Temperature Anomaly from CAC: Climatological, smoothed, and raw sea surface temperature data for the tropical Pacific Ocean from the Climate Analysis Center (now known as the Climate Prediction Center).Independent Variables (Grids)
- Time (time)
- grid: /T (months since 1960-01-01) ordered (Jan 1970) to (Mar 2003) by 1.0 N= 399 pts :grid
- Longitude (longitude)
- grid: /X (degree_east) ordered (123E) to (69W) by 2.0 N= 85 pts :grid
- Latitude (latitude)
- grid: /Y (degree_north) ordered (29S) to (29N) by 2.0 N= 30 pts :grid
Other Info
- bufferwordsize
- 8
- CE
- 4.1999998
- colorscalename
- sstacolorscale
- CS
- -4.1999998
- datatype
- doublearraytype
- maxncolor
- 254
- units
- 0.0174532925199433 degree_Kelvin radian east
- history
- Climate Analysis Center SST
- colorscale
References
Woodruff_etal1993R. W. Reynolds, T. M. Smith. Improved global sea surface temperature analyses.. J. Climate 7, 1994
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 | |
 $integral dX$ [ CAC 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