data: max max max $partialdiff sub lat$ $partialdiff sub lon$ $integral dlat$ [ UY prec ]

max max max ∂_lat ∂_lon ∫dlat [ UY prec ] : ∂_lat ∂_lon Precipitacion data

prec int_dlat partial_lon partial_lat max max ∂_lat ∂_lon 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

0.687549354156988 meter radian^-1 north year^-1

history

max max $partialdiff sub lat$ $partialdiff sub lon$ $integral dlat$ [ UY prec ] 36S

max over lon[58.85526W, 53.64474W]
max over time[Jan 1925, Dec 2009]

max max max $partialdiff sub lat$ $partialdiff sub lon$ $integral dlat$ [ UY prec ]

max over lat[29.5S, 36S]

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