data: min [ ( UY precipitacion ) , root mean sq anom min $integral dtime$ ( UY prec ) ]

served from 129.236.110.25

min [ ( UY precipitacion ) , root mean sq anom min ∫dtime ( UY prec ) ]: Precipitacion, Precipitacion data

min [ ( UY precipitacion ) , root mean sq anom min ∫dtime ( 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
time: grid: /time (months since 1960-01-01) ordered (Jan 1925) to (Dec 2009) by 1.0 N= 1020 pts :grid

Other Info

CE

400

CS

datatype

realarraytype

file_missing_value

-999.0

fnname

min

missing_value

NaN

scale_max

400.0

scale_min

0.0

units

mm /month

standard units*

0.012 meter year^-1

history

root mean sq anom min $integral dtime$ [ UY prec ]

min over lon[59W, 53.5W]
Averaged over time[0000 1 Jan 1925, 0000 1 Jan 2010] minimum 0.0% data present

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

Data Views

	lat	lon	time
UY[precipitacion prec ]
min [ ( UY precipitacion ) , root mean sq anom min $integral dtime$ ( UY prec ) ][ \| time lon 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 time lon lat
Differentiate along time lon lat
Take differences along time lon lat