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

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

prec prec prec int_dtime int_dlon Precipitacion from UY: PRECM_UY_v1p1: Gridded precipitation dataset at 30 km. It corresponds to Experiment No. 3 in the documentation.

Independent Variables (Grids)

lat: grid: /lat (degree_north) ordered (29.6413S) to (35.8587S) by 0.2826087 N= 23 pts :grid

Other Info

bufferwordsize: 8
CE: null
CS: null
datatype: doublearraytype
file_missing_value: -999.0
missing_value: NaN
units: 1.74532925199433×10^-05 meter radian east
history: Averaged over time[0000 1 Jan 1925, 0000 1 Jan 2010] lon[59.14474W, 53.35526W] 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

	lat
UY[prec precipitacion ]
root mean sq $integral dlon$ $integral dtime$ [ UY prec ] [ \| lat]	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 lat
Differentiate along lat
Take differences along lat