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 (Nov 1981) to (Mar 2003) by 1.0 N= 257 pts :grid
Other Info
- bufferwordsize
- 8
- calendar
- 360
- CE
- null
- CS
- null
- datatype
- doublearraytype
- gridid
- 189129960
- scale_max
- null
- scale_min
- null
- standard_name
- time
- units
- 0.00694444444444444 ( year above 2000 ) year
- history
- Averaged over T2[Nov 1981 - Oct 1982, Nov 2001 - Oct 2002]
Last updated: Mon, 16 Feb 2015 21:51:22 GMT
Data Views
Views
line plots
color bars
scatter| T | X | Y | |
 IGOSS nmc Reyn_SmithOIv1 monthly ssta[ X Y | T] | O=-0.5 | M | M |
|---|---|---|---|
| grid: /Y (degree_north) ordered (89S) to (89N) by 1.0 N= 179 pts :grid | M | ||
| grid: /Y (degree_north) ordered (89S) to (89N) by 1.0 N= 179 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