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min [ ∫dT T anomalies climatology ]: min [ ∫dT T anomalies climatology ] data
min [ ∫dT T anomalies climatology ]. isIndependent Variables (Grids)
Other Info
- calendar
- 360
- CE
- null
- CS
- null
- datatype
- realarraytype
- gridid
- 183194592
- pointwidth
- 1.0
- scale_max
- null
- scale_min
- null
- standard_name
- time
- units
- 0.00694444444444444 ( year above 2000 ) year
- history
- $integral dT$ T anomalies climatology
- Averaged over T2[16 Dec 1950 - 15 Dec 1951, 16 Dec 2004 - 15 Dec 2005]
Averaged over T2[16 Dec 1950 - 15 Dec 1951, 16 Dec 2004 - 15 Dec 2005]
min [ $integral dT$ T anomalies climatology ]- min over T[0000 1 Jan, 0000 1 Dec]
- Averaged over T2[16 Dec 1950 - 15 Dec 1951, 16 Dec 2004 - 15 Dec 2005]
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 |
|---|---|---|---|
 min [ $integral dT$ T anomalies climatology ][ |] |
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