Indices nino OISSTv2p1-AVHRR NINO3: NINO3 data
OISSTv2p1-AVHRR 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
- grid: /T (months since 1960-01-01) ordered (Sep 1981) to (Apr 2024) by 1.0 N= 512 pts :grid
- zlev
- grid: /zlev (meters) ordered [ (0.0)] :grid
Other Info
- bufferwordsize
- 8
- CE
- 4.1999998
- colorscalename
- sstacolorscale
- CS
- -4.1999998
- datatype
- doublearraytype
- iridl:hasSemantics
- iridl:Nino3
- maxncolor
- 254
- pointwidth
- 1.0
- scale_max
- 4.1999998
- scale_min
- -4.1999998
- units
- Celsius_scale
- standard units*
- degree_Kelvin above 273.15
- history
- $integral dY$ [ $integral dX$ ( NOAA NCDC OISST version2p1 AVHRR_monthly anom ) ( 90W - 150W ) ] [ 5N - 5S ]
- $integral dX$ [ NOAA NCDC OISST version2p1 AVHRR_monthly anom ]
- Final file created using preliminary as first guess, and 3 days of AVHRR data. Preliminary uses only 1 day of AVHRR data.
Boxes with less than 0.0% dropped
- $integral dY$ [ $integral dX$ dataflag ( NOAA NCDC OISST version2p1 AVHRR_monthly anom ) ( 90W - 150W ) ] [ 5N - 5S ]
- NOAA NCDC OISST version2p1 AVHRR_monthly anom
- Final file created using preliminary as first guess, and 3 days of AVHRR data. Preliminary uses only 1 day of AVHRR data.
Boxes with less than 0.0% dropped
Indices nino OISSTv2p1-AVHRR NINO3- $integral dY$ [ ( $integral dX$ { NOAA NCDC OISST version2p1 AVHRR_monthly anom } { 90W - 150W } ) / ( $integral dX$ dataflag { NOAA NCDC OISST version2p1 AVHRR_monthly anom } { 90W - 150W } ) ] [ 5N - 5S ]
- colorscale
-
Last updated: Fri, 17 May 2024 15:18:02 GMT
Expires: Wed, 15 May 2024 00:00:00 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