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

served from 129.236.110.25

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

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

Independent Variables (Grids)

lon: grid: /lon (degree_east) ordered (59W) to (53.5W) by 0.2894737 N= 20 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

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

max over lon[59W, 53.5W] lat[29.5S, 36S]
Averaged over lat[36.1413S, 29.3587S] minimum 0.0% data present

root mean sq anom $integral dtime$ mean 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

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