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mean min [ UEA CRU TS3p21 monthly wet anomalies ] : wet day frequency data
mean min [ UEA CRU TS3p21 monthly wet anomalies ] . 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
- number_of_days_with_lwe_thickness_of_precipitation_amount_above_threshold
- units
- days
- standard units*
- 86400 second
- history
- UEA CRU TS3p21 monthly wet
Wed 10 Jul 2013 18:28:10 BST : User ianharris : Program makegridsauto.for called by update.for
- UEA CRU TS3p21 monthly wet 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
- Wed 10 Jul 2013 18:28:10 BST : User ianharris : Program makegridsauto.for called by update.for
- min over Y[89.75S, 89.75N]
mean min [ UEA CRU TS3p21 monthly wet anomalies ]- Averaged over X[180W, 180] T[Jan 1901, Dec 2012] minimum 0.0% data present
- UEA CRU TS3p21 monthly wet
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