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min max [ lat , max root mean sq anom ( UY precipitacion ) ] : lat, Precipitacion data
min max [ lat , max root mean sq anom ( UY precipitacion ) ] . isIndependent Variables (Grids)
Other Info
- datatype
- realarraytype
- fnname
- max
- gridid
- 166961640
- missing_value
- NaN
- pointwidth
- 0.2826087
- scale_max
- null
- scale_min
- null
- units
- degree_north
- standard units*
- 0.0174532925199433 radian north
- history
- max root mean sq anom [ UY precipitacion ]
- Averaged over lon[59W, 53.5W] minimum 0.0% data present
max over lat[29.5S, 36S]
min max [ lat , max root mean sq anom ( UY precipitacion ) ]- min over lat[29.5S, 36S] time[Jan 1925, Dec 2009]
- Averaged over lon[59W, 53.5W] minimum 0.0% data present
Last updated: Sun, 02 Jun 2024 17:51:42 GMT
Data Views
 UY[prec
precipitacion
] |
| grid: /time (months since 1960-01-01) ordered (Jan 1925) to (Dec 2009) by 1.0 N= 1020 pts :grid |
 min max [ lat , max root mean sq anom ( UY precipitacion ) ] [ |] |
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