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max ∂time max [ ( UY precipitacion ) , max root mean sq ( UY precipitacion ) ] : ∂time Precipitacion, Precipitacion data
max ∂time max [ ( UY precipitacion ) , max root mean sq ( UY precipitacion ) ] .Independent Variables (Grids)
- time
- grid: /time (months since 1960-01-01) ordered (16 Jan 1925 - 15 Feb 1925) to (16 Nov 2009 - 15 Dec 2009) by 1.0 N= 1019 pts :grid
Other Info
- CE
- 400
- CS
- 0
- datatype
- realarraytype
- file_missing_value
- -999.0
- fnname
- max
- missing_value
- NaN
- units
- 0.144 meter year-2
- history
- max root mean sq [ UY precipitacion ]
- Averaged over lon[59.14474W, 53.35526W] minimum 0.0% data present
max over lat[29.5S, 36S]
max $partialdiff sub time$ max [ ( UY precipitacion ) , max root mean sq ( UY precipitacion ) ]- max over lon[59W, 53.5W] lat[29.5S, 36S]
- Averaged over lon[59.14474W, 53.35526W] minimum 0.0% data present
Last updated: Sun, 02 Jun 2024 17:51:42 GMT
Data Views
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scatter| time | |
 max $partialdiff sub time$ max [ ( UY precipitacion ) , max root mean sq ( UY precipitacion ) ] [ time |] | M |
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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 time
- Differentiate along time
- Take differences along time
RMS (root mean square with mean *not* removed) over time |
RMSA (root mean square with mean removed) over time |
Maximum over time |
Minimum over time |
Detrend (best-fit-line) over time |
Note on units