served from IRI/LDEO Climate Data Library
∫dT [ ∂T ( ∂T T ) anomalies ]: ∂T ∂T Time data
∫dT [ ∂T ( ∂T T ) anomalies ].Independent Variables (Grids)
- Time (time)
- grid: /T (months since 1960-01-01) ordered (16 Oct 1992 - 15 Nov 1992) to (16 Jun 2002 - 15 Jul 2002) by 1.0 N= 117 pts :grid
Other Info
- bufferwordsize
- 8
- CE
- null
- CS
- null
- datatype
- doublearraytype
- gridid
- 189306608
- pointwidth
- 1.0
- scale_max
- null
- scale_min
- null
- standard_name
- time
- units
- unitless
- history
- Averaged over T2[Nov 1992 - Oct 1993, Nov 2000 - Oct 2001]
Last updated: Tue, 19 May 2015 19:52:55 GMT
Data Views
Views
line plots
color bars
scatter| T | X | Y | |
 IGOSS TOPEX NOAA ssha[ X Y | T] | O=0.5 | M | M |
|---|---|---|---|
| grid: /T (months since 1960-01-01) ordered (Oct 1992) to (Jul 2002) by 1.0 N= 118 pts :grid | O=0.5 | ||
 $integral dT$ [ $partialdiff sub T$ ( $partialdiff sub T$ T ) anomalies ][ T |] | 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 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