data: root mean sq anom $partialdiff sub time$ max [ ( UY prec ) , max ( UY prec ) ]

served from 129.236.110.25

root mean sq anom ∂_time max [ ( UY prec ) , max ( UY prec ) ] : ∂_time Precipitacion, Precipitacion data

root mean sq anom ∂_time 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
time: grid: /time (months since 1960-01-01) ordered (16 Jan 1925 - 15 Feb 1925) to (16 Nov 2009 - 15 Dec 2009) by 1.0 N= 1019 pts :grid

Other Info

bufferwordsize

CE

null

CS

null

datatype

doublearraytype

file_missing_value

-999.0

fnname

max

missing_value

NaN

units

0.144 meter year^-2

history

root mean sq anom $partialdiff sub time$ max [ ( UY prec ) , max ( UY prec ) ]

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

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

Data Views

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

root mean sq anom ∂time max [ ( UY prec ) , max ( UY prec ) ] : ∂time Precipitacion, Precipitacion data

Independent Variables (Grids)

Other Info

Data Views

Filters

root mean sq anom ∂_time max [ ( UY prec ) , max ( UY prec ) ] : ∂_time Precipitacion, Precipitacion data