data: min [ mean , min ] [ UY precipitacion ]

served from 129.236.110.25

min [ mean , min ] [ UY precipitacion ] : Precipitacion, Precipitacion data

min [ mean , min ] [ 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

min

missing_value

NaN

units

mm /month

standard units*

0.012 meter year^-1

history

mean [ UY precipitacion ]
Averaged over time[Jan 1925, Dec 2009] lon[59.14474W, 53.35526W] minimum 0.0% data present

min [ UY precipitacion ]
min over lat[29.5S, 36S]

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

Data Views

	lat	lon	time
UY[precipitacion prec ]
min [ mean , min ] [ UY precipitacion ] [ \| lat time lon]	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 lat time lon
Differentiate along lat time lon
Take differences along lat time lon