served from IRI/LDEO Climate Data Library
∂T [ ∫dT T ]: ∂T ∂T [ ∫dT T ] data
∂T [ ∫dT T ].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
- calendar
- 360
- datatype
- realarraytype
- gridid
- 168632040
- scale_max
- null
- scale_min
- null
- standard_name
- time
- units
- months
- standard units*
- 0.0833333333333333 year
Last updated: Fri, 18 Sep 2015 18:39:07 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 | ||
| grid: /T (months since 1960-01-01) ordered (Oct 1992) to (Jul 2002) by 1.0 N= 118 pts :grid | O=0.5 | ||
| grid: /Y (degree_north) ordered (60S) to (60N) by 1.0 N= 121 pts :grid | M | ||
| $partialdiff sub T$ T[ T |] | M | ||
| grid: /Y (degree_north) ordered (60S) to (60N) by 1.0 N= 121 pts :grid | M | ||
 $partialdiff sub T$ [ $integral dT$ T ][ 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