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

served from 129.236.110.25

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

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

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
time: grid: /time (months since 1960-01-01) ordered (Jan 1925) to (Dec 2009) by 1.0 N= 1020 pts :grid

Other Info

CE

null

CS

null

datatype

realarraytype

file_missing_value

-999.0

fnname

max

missing_value

NaN

units

mm /month

standard units*

0.012 meter year^-1

history

root mean sq anom [ UY prec ]
Averaged over lat[29.5S, 36S] minimum 0.0% data present

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

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

Data Views

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