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min mean [ ∂X ( UEA CRU TS3p21 monthly vap ) climatology ] : ∂X vapour pressure data
min mean [ ∂X ( UEA CRU TS3p21 monthly vap ) climatology ] . isIndependent Variables (Grids)
Other Info
- bufferwordsize
- 8
- CE
- null
- correlation_decay_distance
- 1000.0
- CS
- null
- datatype
- doublearraytype
- file_missing_value
- 9.96920997E36
- missing_value
- NaN
- pointwidth
- 1
- standard_name
- water_vapor_pressure
- units
- 5729.57795130823 kilogram meter-1 radian-1 east second-2
- history
- $partialdiff sub X$ [ UEA CRU TS3p21 monthly vap ] climatology
- Wed 10 Jul 2013 18:28:10 BST : User ianharris : Program makegridsauto.for called by update.for
Averaged over T2[1901, 2012] minimum 0.0% data present
mean [ $partialdiff sub X$ ( UEA CRU TS3p21 monthly vap ) climatology ]- Averaged over Y[90S, 90N] minimum 0.0% data present
min mean [ $partialdiff sub X$ ( UEA CRU TS3p21 monthly vap ) climatology ]- min over X[180W, 179.5E] T[Jan, Dec]
- Wed 10 Jul 2013 18:28:10 BST : User ianharris : Program makegridsauto.for called by update.for
References
Harris_etal2013Last updated: Fri, 26 Jul 2024 12:21:16 GMT
Data Views
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