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

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

precipitacion precipitacion 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)

lat: grid: /lat (degree_north) ordered (29.5S) to (36S) by 0.2826087 N= 24 pts :grid

Other Info

bufferwordsize

CE

null

CS

null

datatype

doublearraytype

file_missing_value

-999.0

missing_value

NaN

units

1036.8 meter second year^-1

history

max root mean sq anom $integral dtime$ [ UY precipitacion ]

Averaged over time[1200 16 Dec 1924 - 1200 16 Jan 1925, 1200 16 Dec 2009 - 1200 16 Jan 2010] minimum 0.0% data present
max over lon[58.85526W, 53.64474W]

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
grid: /time (days since 1960-01-01) ordered [ (1200 16 Dec 1924 - 1200 16 Jan 1925) (1200 16 Jan 1925 - 2400 14 Feb 1925) (0000 15 Feb 1925 - 1200 16 Mar 1925) ... (1200 16 Dec 2009 - 1200 16 Jan 2010)] N= 1021 pts :grid
grid: /lon (degree_east) ordered (58.85526W) to (53.64474W) by 0.2894737 N= 19 pts :grid
grid: /lat (degree_north) ordered (29.5S) to (36S) by 0.2826087 N= 24 pts :grid	M
max root mean sq anom $integral dtime$ [ UY precipitacion ] [ \| 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