data: min $partialdiff sub lon$ $partialdiff sub lon$ $partialdiff sub lat$ [ UY prec ]

min ∂_lon ∂_lon ∂_lat [ UY prec ] : ∂_lon ∂_lon ∂_lat Precipitacion data

prec prec partial_lat partial_lon partial_lon ∂_lon ∂_lon ∂_lat Precipitacion from UY: PRECM_UY_v1p1: Gridded precipitation dataset at 30 km. It corresponds to Experiment No. 3 in the documentation. is

Independent Variables (Grids)

Other Info

CE: null
CS: null
datatype: realarraytype
file_missing_value: -999.0
missing_value: NaN
units: 2257.09138577303 meter radian^-3 north year^-1
history: min over time[Jan 1925, Dec 2009] lon[58.56579W, 53.93421W] lat[29.6413S, 35.8587S]

References

Muñoz, ?~A.G., González, P., Baethgen, W.,: Gridded precipitation dataset ff or Uruguay. Version 1.1

Last updated: Sun, 02 Jun 2024 17:51:42 GMT

Data Views

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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

Average over
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