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

served from 129.236.110.25

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

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

Independent Variables (Grids)

lat: grid: /lat (degree_north) ordered (29.5S) to (36S) by 0.2826087 N= 24 pts :grid
lon: grid: /lon (degree_east) ordered (59W) to (53.5W) by 0.2894737 N= 20 pts :grid

Other Info

CE

null

CS

null

datatype

realarraytype

file_missing_value

-999.0

fnname

max

missing_value

NaN

units

standard units*

0.001 meter

history

root mean sq anom $integral dtime$ [ UY precipitacion ]
Averaged over time[0000 1 Jan 1925, 0000 1 Jan 2010] minimum 0.0% data present

max [ UY prec ]
max over time[Jan 1925, Dec 2009]

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

Data Views

	lat	lon
UY[precipitacion prec ]
max [ root mean sq anom $integral dtime$ ( UY precipitacion ) , max ( UY prec ) ][ lon \| lat]	M	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 lon lat
Differentiate along lon lat
Take differences along lon lat