served from IRI/LDEO Climate Data Library
∫dT [ Indices nino NCEP NINO3 ]: NINO3 data
NCEP NINO3 NINO3 from Indices nino: Indices representative of the NINO 1 and 2, NINO 3, NINO 3.4, and NINO 4 regions.Independent Variables (Grids)
- Time (time)
- grid: /T (months since 1960-01-01) ordered (0000 1 Nov 1981) to (0000 1 Apr 2003) by 1.0 N= 258 pts :grid
Other Info
- bufferwordsize
- 8
- CE
- null
- colorscalename
- sstacolorscale
- CS
- null
- datatype
- doublearraytype
- iridl:hasSemantics
- iridl:Nino3
- maxncolor
- 254
- PLOTCOAST
- 1
- units
- 0.0833333333333333 degree_Kelvin year
- history
- $integral dY$ [ $integral dX$ ( NOAA NCEP EMC CMB GLOBAL Reyn_SmithOIv1 monthly ssta ) ( 90W - 150W ) ] [ 5N - 5S ]
- $integral dX$ [ NOAA NCEP EMC CMB GLOBAL Reyn_SmithOIv1 monthly ssta ]
- Monthly mean sea surface temperature anomaly (blended from ship, buoy, and bias-corrected satellite data)
- $integral dX$ [ NOAA NCEP EMC CMB GLOBAL Reyn_SmithOIv1 monthly ssta ]
- $integral dY$ [ $integral dX$ dataflag ( NOAA NCEP EMC CMB GLOBAL Reyn_SmithOIv1 monthly ssta ) ( 90W - 150W ) ] [ 5N - 5S ]
- NOAA NCEP EMC CMB GLOBAL Reyn_SmithOIv1 monthly ssta
- Monthly mean sea surface temperature anomaly (blended from ship, buoy, and bias-corrected satellite data)
- NOAA NCEP EMC CMB GLOBAL Reyn_SmithOIv1 monthly ssta
- $integral dY$ [ ( $integral dX$ { NOAA NCEP EMC CMB GLOBAL Reyn_SmithOIv1 monthly ssta } { 90W - 150W } ) / ( $integral dX$ dataflag { NOAA NCEP EMC CMB GLOBAL Reyn_SmithOIv1 monthly ssta } { 90W - 150W } ) ] [ 5N - 5S ]
- $integral dY$ [ $integral dX$ ( NOAA NCEP EMC CMB GLOBAL Reyn_SmithOIv1 monthly ssta ) ( 90W - 150W ) ] [ 5N - 5S ]
References
R. W. Reynolds, T. M. Smith. Improved global sea surface temperature analyses.. J. Climate 7, 1994
Last updated: Mon, 18 Dec 2023 16:15:30 GMT
Data Views
Views
line plots
color bars
scatter
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
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