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∫dX min [ UEA CRU TS3p21 monthly wet anomalies ] : wet day frequency data
∫dX min [ UEA CRU TS3p21 monthly wet anomalies ] .Independent Variables (Grids)
- Time (time)
- grid: /T (months since 1960-01-01) ordered (Jan 1901) to (Dec 2012) by 1.0 N= 1344 pts :grid
- Longitude (longitude)
- grid: /X (degree_east) ordered (180W) to (180) by 0.5 N= 721 pts :grid
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
- 1507.9644737231 radian east 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]
- UEA CRU TS3p21 monthly wet
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 X T
- Differentiate along X T
- Take differences along X T
RMS (root mean square with mean *not* removed) over X T | X T |
RMSA (root mean square with mean removed) over X T | X T |
Maximum over X T | X T |
Minimum over X T | X T |
Detrend (best-fit-line) over X T | X T |
Note on units