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

served from 129.236.110.25

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

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

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

Other Info

bufferwordsize

CE

null

CS

null

datatype

doublearraytype

file_missing_value

-999.0

fnname

min

missing_value

NaN

units

mm /month

standard units*

0.012 meter year^-1

history

mean min [ ( UY precipitacion ) , min ( UY prec ) ]

min over time[Jan 1925, Dec 2009]
Averaged over time[Jan 1925, Dec 2009] minimum 0.0% data present

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

Data Views

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