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root mean sq [ UEA CRU TS3p21 monthly vap ] anomalies: vapour pressure data
root mean sq [ UEA CRU TS3p21 monthly vap ] anomalies.Independent Variables (Grids)
- Time (time)
- grid: /T (months since 1960-01-01) ordered (16 Jan 1901 - 15 Feb 1901) to (16 Nov 2012 - 15 Dec 2012) by 1.0 N= 1343 pts :grid
- Latitude (latitude)
- grid: /Y (degree_north) ordered (89.5S) to (89.5N) by 0.5 N= 359 pts :grid
Other Info
- CE
- null
- correlation_decay_distance
- 1000.0
- CS
- null
- datatype
- realarraytype
- file_missing_value
- 9.96920997E36
- missing_value
- NaN
- pointwidth
- 1
- standard_name
- water_vapor_pressure
- units
- hPa
- standard units*
- 100 kilogram meter-1 second-2
- history
- root mean sq [ UEA CRU TS3p21 monthly vap ]
- Wed 10 Jul 2013 18:28:10 BST : User ianharris : Program makegridsauto.for called by update.for
Averaged over X[180W, 180] minimum 0.0% data present
- Wed 10 Jul 2013 18:28:10 BST : User ianharris : Program makegridsauto.for called by update.for
- root mean sq [ UEA CRU TS3p21 monthly vap ] climatology
- root mean sq [ UEA CRU TS3p21 monthly vap ]
- Wed 10 Jul 2013 18:28:10 BST : User ianharris : Program makegridsauto.for called by update.for
Averaged over X[180W, 180] minimum 0.0% data present
Averaged over T2[16 Jan 1901 - 15 Jan 1902, 16 Jan 2011 - 15 Jan 2012] minimum 0.0% data present - Wed 10 Jul 2013 18:28:10 BST : User ianharris : Program makegridsauto.for called by update.for
- root mean sq [ UEA CRU TS3p21 monthly vap ]
- root mean sq [ UEA CRU TS3p21 monthly vap ]
References
Harris_etal2013Last updated: Fri, 26 Jul 2024 12:21:16 GMT
Data Views
Views
data as colors
data as contours
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 Y T
- Differentiate along Y T
- Take differences along Y T
RMS (root mean square with mean *not* removed) over Y T | Y T |
RMSA (root mean square with mean removed) over Y T | Y T |
Maximum over Y T | Y T |
Minimum over Y T | Y T |
Detrend (best-fit-line) over Y T | Y T |
Note on units