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

served from 129.236.110.25

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

∫dtime max [ lat , max root mean sq anom ( UY precipitacion ) ] .

Independent Variables (Grids)

lat: grid: /lat (degree_north) ordered (29.5S) to (36S) by 0.2826087 N= 24 pts :grid
time: grid: /time (days since 1960-01-01) ordered [ (1200 16 Dec 1924 - 1200 16 Jan 1925) (1200 16 Jan 1925 - 2400 14 Feb 1925) (0000 15 Feb 1925 - 1200 16 Mar 1925) ... (1200 16 Dec 2009 - 1200 16 Jan 2010)] N= 1021 pts :grid

Other Info

bufferwordsize

CE

null

CS

null

datatype

doublearraytype

fnname

max

gridid

166961624

missing_value

NaN

pointwidth

0.2826087

scale_max

null

scale_min

null

units

1507.9644737231 radian north second

history

max root mean sq anom [ UY precipitacion ]

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

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

Data Views

	lat	time
UY[precipitacion prec ]
grid: /time (days since 1960-01-01) ordered [ (Jan 1925) (Feb 1925) (Mar 1925) ... (Dec 2009)] N= 1020 pts :grid		D
$integral dtime$ max [ lat , max root mean sq anom ( UY precipitacion ) ] [ \| 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