served from IRI/LDEO Climate Data Library
detrended-bfl [ ∂T T ]: ∂T Time data
detrended-bfl [ ∂T T ].Independent Variables (Grids)
- int_dT (time)
- grid: /int_dT (months since 1960-01-01) ordered (16 Oct 1992 - 15 Nov 1992) to (16 Jan 1995 - 15 Feb 1995) by 1.0 N= 28 pts :grid
- Time (time)
- grid: /T (months since 1960-01-01) ordered (16 Oct 1992 - 15 Nov 1992) to (16 Jan 1995 - 15 Feb 1995) by 1.0 N= 28 pts :grid
Other Info
- bufferwordsize
- 8
- CE
- null
- CS
- null
- datatype
- doublearraytype
- gridid
- 171236464
- scale_max
- null
- scale_min
- null
- standard_name
- time
- units
- unitless
Last updated: Wed, 13 Feb 2019 20:27:28 GMT
Data Views
Views
line plots
color bars
scatter| int_dT | T | X | Y | |
 IGOSS TOPEX UTCSR ssh[ X Y | T] | O=0.5 | M | M | |
|---|---|---|---|---|
| grid: /Y (degree_north) ordered (75S) to (75N) by 1.0 N= 151 pts :grid | M | |||
| grid: /T (months since 1960-01-01) ordered (Oct 1992) to (Feb 1995) by 1.0 N= 29 pts :grid | O=0.5 | |||
| $integral dT$ T[ T |] | O=0.5 | |||
 detrended-bfl [ $partialdiff sub T$ T ][ int_dT |] | 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 int_dT
- Differentiate along int_dT
- Take differences along int_dT
RMS (root mean square with mean *not* removed) over int_dT |
RMSA (root mean square with mean removed) over int_dT |
Maximum over int_dT |
Minimum over int_dT |
Detrend (best-fit-line) over int_dT |
Note on units