data: mean min [ lat , min ( UY prec ) ]

served from 129.236.110.25

mean min [ lat , min ( UY prec ) ] : lat, Precipitacion data

mean min [ lat , min ( UY prec ) ] .

Independent Variables (Grids)

lon: grid: /lon (degree_east) ordered (58.85526W) to (53.64474W) by 0.2894737 N= 19 pts :grid

Other Info

bufferwordsize

CE

null

CS

null

datatype

doublearraytype

fnname

min

gridid

175462088

missing_value

NaN

pointwidth

0.2826087

scale_max

null

scale_min

null

units

degree_north

standard units*

0.0174532925199433 radian north

history

mean min [ lat , min ( UY prec ) ]

min over time[16 Jan 1925 - 15 Feb 1925, 16 Nov 2009 - 15 Dec 2009]
Averaged over lat[36.1413S, 29.3587S] minimum 0.0% data present

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

Data Views

	lon
UY[prec precipitacion ]
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
grid: /lon (degree_east) ordered (59W) to (53.5W) by 0.2894737 N= 20 pts :grid	D
mean min [ lat , min ( 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