served from 129.236.110.25
root mean sq anom ∂lon min [ lon , min ( UY precipitacion ) ] : ∂lon lon, Precipitacion data
root mean sq anom ∂lon min [ lon , min ( UY precipitacion ) ] . isIndependent Variables (Grids)
Other Info
- bufferwordsize
- 8
- CE
- null
- CS
- null
- datatype
- doublearraytype
- fnname
- min
- gridid
- 166963368
- missing_value
- NaN
- pointwidth
- 0.2894737
- scale_max
- null
- scale_min
- null
- units
- unitless
- history
- root mean sq anom $partialdiff sub lon$ min [ lon , min ( UY precipitacion ) ]
- min over time[Jan 1925, Dec 2009] lat[29.5S, 36S]
Averaged over lon[58.85526W, 53.64474W] minimum 0.0% data present
- min over time[Jan 1925, Dec 2009] lat[29.5S, 36S]
Last updated: Sun, 02 Jun 2024 17:51:42 GMT
Data Views
 UY[precipitacion
prec
] |
 root mean sq anom $partialdiff sub lon$ min [ lon , min ( 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