data: $integral dtime$ root mean sq anom $integral dtime$ [ UY prec ]

∫dtime root mean sq anom ∫dtime [ UY prec ] : Precipitacion data

prec prec int_dtime int_dtime int_dtime 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 (16 Dec 1924 - 15 Jan 1925) to (16 Dec 2009 - 15 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: 8.33333333333333×10^-05 meter year
history: Averaged over lon[58.85526W, 53.64474W] lat[29.5S, 36S] minimum 0.0% data present

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 ]
$integral dtime$ root mean sq anom $integral dtime$ [ 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