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root mean sq ∫dY mean [ UEA CRU TS3p21 monthly pre climatology ] : precipitation data
root mean sq ∫dY mean [ UEA CRU TS3p21 monthly pre climatology ] . isIndependent Variables (Grids)
Other Info
- bufferwordsize
- 8
- CE
- null
- correlation_decay_distance
- 450.0
- CS
- null
- datatype
- doublearraytype
- file_missing_value
- 9.96920997E36
- maxncolor
- 254
- missing_value
- NaN
- pointwidth
- 1
- standard_name
- lwe_precipitation_rate
- units
- 0.00020943951023932 meter radian north year-1
- history
- UEA CRU TS3p21 monthly pre 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
$integral dY$ mean [ UEA CRU TS3p21 monthly pre climatology ]- Averaged over X[180W, 180] T[Jan, Dec] minimum 0.0% data present
root mean sq $integral dY$ mean [ UEA CRU TS3p21 monthly pre climatology ]- Averaged over Y[90S, 90N] minimum 0.0% data present
- 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