data: mean $integral dtime$ root mean sq anom max [ ( UY prec ) , max ( UY prec ) ]

served from 129.236.110.25

mean ∫dtime root mean sq anom max [ ( UY prec ) , max ( UY prec ) ] : Precipitacion, Precipitacion data

mean ∫dtime root mean sq anom max [ ( UY prec ) , max ( UY prec ) ] .

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

fnname

max

missing_value

NaN

units

standard units*

0.001 meter

history

$integral dtime$ root mean sq anom max [ ( UY prec ) , max ( UY prec ) ]

max over lon[59W, 53.5W] lat[29.5S, 36S]
Averaged over lon[59W, 53.5W] minimum 0.0% data present

mean $integral dtime$ root mean sq anom max [ ( UY prec ) , max ( UY prec ) ]

Averaged over time[0000 1 Jan 1925, 0000 1 Jan 2010] minimum 0.0% data present

Last updated: Sun, 02 Jun 2024 17:51:42 GMT

Data Views

	lat
mean $integral dtime$ root mean sq anom max [ ( UY prec ) , max ( 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