data: min [ lon , min $integral dlon$ ( UY prec ) ]

served from 129.236.110.25

min [ lon , min ∫dlon ( UY prec ) ]: lon, Precipitacion data

min [ lon , min ∫dlon ( UY prec ) ].

Independent Variables (Grids)

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 (16 Jan 1925 - 15 Feb 1925) to (16 Nov 2009 - 15 Dec 2009) by 1.0 N= 1019 pts :grid

Other Info

datatype: realarraytype
fnname: min
gridid: 175462568
missing_value: NaN
pointwidth: 0.2894737
scale_max: null
scale_min: null
units: degree_east
standard units*: 0.0174532925199433 radian east
history: min over lat[29.5S, 36S]

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

Data Views

	lon	time
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		M
min [ lon , min $integral dlon$ ( UY prec ) ][ lon \| 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 lon time
Differentiate along lon time
Take differences along lon time