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

served from 129.236.110.25

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

root mean sq anom min [ lat , min ∫dtime ( UY prec ) ] .

Independent Variables (Grids)

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

fnname

min

gridid

175462088

missing_value

NaN

pointwidth

0.2826087

scale_max

null

scale_min

null

units

degree_north

standard units*

0.0174532925199433 radian north

history

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

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

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

Data Views

	lat	lon	time
UY[precipitacion prec ]
UY prec[ time lon \| lat]	M	M	O=-0.5
grid: /time (months since 1960-01-01) ordered (0000 1 Jan 1925) to (0000 1 Jan 2010) by 1.0 N= 1021 pts :grid			M
root mean sq anom min [ lat , min $integral dtime$ ( UY prec ) ] [ \| time]			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
Differentiate along time
Take differences along time