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 1 Jan 1981) to (0000 1 Feb 1990) by 1.0 N= 110 pts :grid
Other Info
- bufferwordsize
- 8
- calendar
- 360
- CE
- null
- CS
- null
- datatype
- doublearraytype
- gridid
- 185220936
- pointwidth
- 1.0
- scale_max
- null
- scale_min
- null
- standard_name
- time
- units
- 0.00694444444444444 ( year above 2000 ) year
- history
- Averaged over T2[16 Dec 1980 - 15 Dec 1981, 16 Dec 1988 - 15 Dec 1989]
Last updated: Mon, 16 Feb 2015 21:51:22 GMT
Data Views
Views
line plots
color bars
scatter| T | X | Y | |
 $integral dY$ [ Morliere taux ][ X Y | T] | O=-0.5 | M | M |
|---|---|---|---|
| grid: /Y (degree_north) ordered (36S) to (58N) by 2.0 N= 48 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