data: max max $integral dtime$ $partialdiff sub lon$ $partialdiff sub lat$ $partialdiff sub time$ [ UY precipitacion ]

max max ∫dtime ∂_lon ∂_lat ∂_time [ UY precipitacion ] : ∂_lon ∂_lat ∂_time Precipitacion data

precipitacion partial_time partial_lat partial_lat partial_lon int_dtime max ∂_lon ∂_lat ∂_time Precipitacion from UY: PRECM_UY_v1p1: Gridded precipitation dataset at 30 km. It corresponds to Experiment No. 3 in the documentation.

Independent Variables (Grids)

lon: grid: /lon (degree_east) ordered (58.71053W) to (53.78947W) by 0.2894736 N= 18 pts :grid

Other Info

bufferwordsize

CE

400

CS

datatype

doublearraytype

file_missing_value

-999.0

missing_value

NaN

units

39.3936762001409 meter radian^-2 north year^-1

history

max max $integral dtime$ $partialdiff sub lon$ $partialdiff sub lat$ $partialdiff sub time$ [ UY precipitacion ]

max over lat[29.6413S, 35.8587S]
max over time[Jan 1925, Dec 2009]

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

	lon
max max $integral dtime$ $partialdiff sub lon$ $partialdiff sub lat$ $partialdiff sub time$ [ UY precipitacion ] [ lon \|]	M

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 lon
Differentiate along lon
Take differences along lon