served from IRI/LDEO Climate Data Library
∫dT T anomalies: ∫dT T anomalies data
∫dT T anomalies.Independent Variables (Grids)
- Time (time)
- grid: /T (months since 1960-01-01) ordered (0000 16 Sep 1992) to (0000 16 Aug 2002) by 1.0 N= 120 pts :grid
Other Info
- bufferwordsize
- 8
- calendar
- 360
- CE
- null
- CS
- null
- datatype
- doublearraytype
- gridid
- 181680224
- pointwidth
- 0.0
- scale_max
- null
- scale_min
- null
- standard_name
- time
- units
- 0.00694444444444444 ( year above 2000 ) year
- history
- Averaged over T2[Sep 1992 - Aug 1993, Sep 2001 - Aug 2002]
Data Views
Views
line plots
color bars
scatter| T | X | Y | |
 $integral dT$ $partialdiff sub X$ [ IGOSS TOPEX NOAA ssha ] [ X Y | T] | O=-0.5 | M | M |
|---|---|---|---|
| grid: /Y (degree_north) ordered (59.5S) to (59.5N) by 1.0 N= 120 pts :grid | M | ||
| grid: /T (months since 1960-01-01) ordered (0000 1 Oct 1992) to (0000 1 Aug 2002) by 1.0 N= 119 pts :grid | O=-0.5 | ||
| grid: /Y (degree_north) ordered (59.5S) to (59.5N) by 1.0 N= 120 pts :grid | M | ||
| Y[ Y |] | M | ||
| grid: /Y (degree_north) ordered (59S) to (59N) by 1.0 N= 119 pts :grid | M | ||
| grid: /Y (degree_north) ordered (59S) to (59N) by 1.0 N= 119 pts :grid | M | ||
 $integral dT$ 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