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max [ time , max root mean sq anom ∫dtime ( UY precipitacion ) ]: time, Precipitacion data
max [ time , max root mean sq anom ∫dtime ( UY precipitacion ) ].Independent Variables (Grids)
- time
- grid: /time (months since 1960-01-01) ordered (0000 1 Jan 1925) to (0000 1 Jan 2010) by 1.0 N= 1021 pts :grid
Other Info
- calendar
- 360
- datatype
- realarraytype
- fnname
- max
- gridid
- 167014656
- missing_value
- NaN
- pointwidth
- 0.0
- scale_max
- null
- scale_min
- null
- units
- months since 1960-01-01
- standard units*
- 0.0833333333333333 ( years since 1960-01-01 00:00.000000000 )
- history
- max root mean sq anom $integral dtime$ [ UY precipitacion ]
- Averaged over lon[59W, 53.5W] minimum 0.0% data present
max over lat[29.5S, 36S]
- Averaged over lon[59W, 53.5W] minimum 0.0% data present
Last updated: Sun, 02 Jun 2024 17:51:42 GMT
Data Views
Views
line plots
color bars
scatter| time | |
 UY[precipitacion
prec
] | |
 max [ time , max root mean sq anom $integral dtime$ ( UY precipitacion ) ][ time |] | M |
|---|
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