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max [ ∂T T anomalies anomalies ]: ∂T Time data
max [ ∂T T anomalies anomalies ]. isIndependent Variables (Grids)
Other Info
- CE
- null
- CS
- null
- datatype
- realarraytype
- gridid
- 183164976
- pointwidth
- 1.0
- scale_max
- null
- scale_min
- null
- standard_name
- time
- units
- unitless
- history
- $partialdiff sub T$ T anomalies
Averaged over T2[16 Jan 1951 - 15 Jan 1952, 16 Jan 2004 - 15 Jan 2005]
- $partialdiff sub T$ T anomalies climatology
- Averaged over T2[16 Jan 1951 - 15 Jan 1952, 16 Jan 2004 - 15 Jan 2005]
Averaged over T2[16 Jan 1951 - 15 Jan 1952, 16 Jan 2004 - 15 Jan 2005]
- Averaged over T2[16 Jan 1951 - 15 Jan 1952, 16 Jan 2004 - 15 Jan 2005]
- max over T[16 Jan 1951 - 15 Feb 1951, 16 Nov 2005 - 15 Dec 2005]
- $partialdiff sub T$ T anomalies
Last updated: Wed, 07 Jun 2017 18:04:36 GMT
Data Views
| T | X | Y | |
 ICPAC Projections RCA-MPI hist monthly GHA temperature tmax tmax[ X Y | T] | M | M | M |
|---|---|---|---|
| grid: /Y (degree_north) ordered (11.74S) to (22.91N) by 0.05 N= 694 pts :grid | M | ||
 max [ $partialdiff sub T$ T anomalies anomalies ][ |] |
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
- Differentiate along
- Take differences along
RMS (root mean square with mean *not* removed) over
RMSA (root mean square with mean removed) over
Maximum over
Minimum over
Detrend (best-fit-line) over
Note on units