data: $integral dlat$ min [ lat , min $integral dtime$ ( UY prec ) ]

served from 129.236.110.25

∫dlat min [ lat , min ∫dtime ( UY prec ) ] : lat, Precipitacion data

∫dlat min [ lat , min ∫dtime ( UY prec ) ] .

Independent Variables (Grids)

lat: grid: /lat (degree_north) ordered (29.3587S) to (36.1413S) by 0.2826087 N= 25 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

bufferwordsize: 8
CE: null
CS: null
datatype: doublearraytype
fnname: min
gridid: 175462088
missing_value: NaN
pointwidth: 0.2826087
scale_max: null
scale_min: null
units: 0.000304617419786709 radian² north
history: min over lon[59W, 53.5W]

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

Data Views

	lat	time
UY[precipitacion prec ]
grid: /time (months since 1960-01-01) ordered (Jan 1925) to (Dec 2009) by 1.0 N= 1020 pts :grid		M
grid: /lon (degree_east) ordered (59W) to (53.5W) by 0.2894737 N= 20 pts :grid
$integral dlat$ min [ lat , min $integral dtime$ ( UY prec ) ] [ \| lat time]	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
Differentiate along lat time
Take differences along lat time