served from 129.236.110.25
min ∫dtime mean [ UY prec ] : Precipitacion data
prec prec prec int_dtime Precipitacion from UY: PRECM_UY_v1p1: Gridded precipitation dataset at 30 km. It corresponds to Experiment No. 3 in the documentation. isIndependent Variables (Grids)
Other Info
- bufferwordsize
- 8
- CE
- null
- CS
- null
- datatype
- doublearraytype
- file_missing_value
- -999.0
- missing_value
- NaN
- units
- mm
- standard units*
- 0.001 meter
- history
- min $integral dtime$ mean [ UY prec ]
- Averaged over lon[59W, 53.5W] minimum 0.0% data present
min over time[0000 1 Jan 1925, 0000 1 Jan 2010] lat[29.5S, 36S]
- Averaged over lon[59W, 53.5W] minimum 0.0% data present
References
Muñoz, ?~A.G., González, P., Baethgen, W.,: Gridded precipitation dataset ff or Uruguay. Version 1.1Last updated: Sun, 02 Jun 2024 17:51:42 GMT
Data Views
UY[
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