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

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

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

Independent Variables (Grids)

time: grid: /time (months since 1960-01-01) ordered (0000 1 Jan 1925) to (0000 1 Jan 2010) by 1.0 N= 1021 pts :grid

Other Info

CE: null
CS: null
datatype: realarraytype
file_missing_value: -999.0
missing_value: NaN
units: 3.28280635001174 meter radian^-2 north
history: max over lon[58.85526W, 53.64474W] 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

	time
UY[prec precipitacion ]
max $partialdiff sub lon$ $partialdiff sub lat$ $integral dtime$ [ UY prec ] [ time \|]	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 time
Differentiate along time
Take differences along time