data: mean min [ root mean sq anom ( UY prec ) , min ( UY precipitacion ) ]

served from 129.236.110.25

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

mean min [ root mean sq anom ( UY prec ) , min ( 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 (59W) to (53.5W) by 0.2894737 N= 20 pts :grid

Other Info

bufferwordsize

CE

null

CS

null

datatype

doublearraytype

file_missing_value

-999.0

fnname

min

missing_value

NaN

units

mm /month

standard units*

0.012 meter year^-1

history

root mean sq anom [ UY prec ]
Averaged over lon[59W, 53.5W] minimum 0.0% data present

min [ UY precipitacion ]
min over lat[29.5S, 36S]

mean min [ root mean sq anom ( UY prec ) , min ( UY precipitacion ) ]

Averaged over time[Jan 1925, Dec 2009] minimum 0.0% data present

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: /lat (degree_north) ordered (29.5S) to (36S) by 0.2826087 N= 24 pts :grid	M
grid: /lon (degree_east) ordered (59W) to (53.5W) by 0.2894737 N= 20 pts :grid		M
mean min [ root mean sq anom ( UY prec ) , min ( 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