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

served from 129.236.110.25

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

root mean sq anom ∫dtime min [ ( UY prec ) , min ( 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 (0000 1 Jan 1925) to (0000 1 Jan 2010) by 1.0 N= 1021 pts :grid

Other Info

bufferwordsize

CE

null

CS

null

datatype

doublearraytype

file_missing_value

-999.0

fnname

min

missing_value

NaN

units

standard units*

0.001 meter

history

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

min over lon[59W, 53.5W] lat[29.5S, 36S]
Averaged over lat[29.5S, 36S] minimum 0.0% data present

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

Data Views

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