∂T [ NINO3 anomalies ]: ∂T Sea Surface Temperature Anomaly data
ssta ssta ssta int_dX int_dY int_dY int_dY int_dY
∂T 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 (Feb 1970) to (Feb 2003) by 1.0 N= 397 pts :grid
Other Info
- CE
- null
- colorscalename
- sstacolorscale
- CS
- null
- datatype
- realarraytype
- maxncolor
- 254
- units
- 0.00365540903744051 degree_Kelvin radian2 north year-1
- history
- NINO3
- Climate Analysis Center SST
[ $integral dY$ ( $integral dX$ { CAC ssta } { 90W - 150W } ) ( 5N - 5S ) ] / 600.
- NINO3 climatology
- NINO3
- Climate Analysis Center SST
[ $integral dY$ ( $integral dX$ { CAC ssta } { 90W - 150W } ) ( 5N - 5S ) ] / 600.
Averaged over T2[16 Jan 1970 - 15 Jan 1971, 16 Jan 2002 - 15 Jan 2003]
References
Woodruff_etal1993
R. W. Reynolds, T. M. Smith. Improved global sea surface temperature analyses.. J. Climate 7, 1994
Last updated: Mon, 12 Sep 2016 21:27:18 GMT
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 T
- Differentiate along T
- Take differences along T
Average over
T
|
RMS (root mean square with mean *not* removed) over
T
|
RMSA (root mean square with mean removed) over
T
|
Maximum over
T
|
Minimum over
T
|
Detrend (best-fit-line) over
T
|
Note on units