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root mean sq anom max [ lon , root mean sq max ( UY precipitacion ) ] : lon, Precipitacion data
root mean sq anom max [ lon , root mean sq max ( UY precipitacion ) ] . isIndependent Variables (Grids)
Other Info
- bufferwordsize
- 8
- CE
- null
- CS
- null
- datatype
- doublearraytype
- fnname
- max
- gridid
- 166963368
- missing_value
- NaN
- pointwidth
- 0.2894737
- scale_max
- null
- scale_min
- null
- units
- degree_east
- standard units*
- 0.0174532925199433 radian east
- history
- root mean sq max [ UY precipitacion ]
- max over lat[29.5S, 36S]
Averaged over lon[59.14474W, 53.35526W] minimum 0.0% data present
root mean sq anom max [ lon , root mean sq max ( UY precipitacion ) ]- Averaged over lon[59W, 53.5W] time[Jan 1925, Dec 2009] minimum 0.0% data present
- max over lat[29.5S, 36S]
Last updated: Sun, 02 Jun 2024 17:51:42 GMT
Data Views
 UY[precipitacion
prec
] |
| grid: /time (months since 1960-01-01) ordered (Jan 1925) to (Dec 2009) by 1.0 N= 1020 pts :grid |
 root mean sq anom max [ lon , root mean sq max ( 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