data: $partialdiff sub lon$ max [ lat , max root mean sq anom detrended-bfl ( UY precipitacion ) ]

served from 129.236.110.25

∂_lon max [ lat , max root mean sq anom detrended-bfl ( UY precipitacion ) ] : ∂_lon lat, Precipitacion data

∂_lon max [ lat , max root mean sq anom detrended-bfl ( UY precipitacion ) ] .

Independent Variables (Grids)

lat: grid: /lat (degree_north) ordered (29.5S) to (36S) by 0.2826087 N= 24 pts :grid
lon: grid: /lon (degree_east) ordered (58.85526W) to (53.64474W) by 0.2894737 N= 19 pts :grid

Other Info

datatype

realarraytype

fnname

max

gridid

166962888

missing_value

NaN

pointwidth

0.2826087

scale_max

null

scale_min

null

units

unitless

history

max root mean sq anom detrended-bfl [ UY precipitacion ]

Averaged over time[Jan 1925, Dec 2009] minimum 0.0% data present
max over lat[29.5S, 36S]

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

Data Views

	lat	lon
UY[prec precipitacion ]
grid: /time (months since 1960-01-01) ordered (Jan 1925) to (Dec 2009) by 1.0 N= 1020 pts :grid
grid: /lon (degree_east) ordered (59W) to (53.5W) by 0.2894737 N= 20 pts :grid		D
$partialdiff sub lon$ max [ lat , max root mean sq anom detrended-bfl ( UY precipitacion ) ] [ \| lat 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 lat lon
Differentiate along lat lon
Take differences along lat lon

∂lon max [ lat , max root mean sq anom detrended-bfl ( UY precipitacion ) ] : ∂lon lat, Precipitacion data

Independent Variables (Grids)

Other Info

Data Views

Filters

∂_lon max [ lat , max root mean sq anom detrended-bfl ( UY precipitacion ) ] : ∂_lon lat, Precipitacion data