data: detrended-bfl $partialdiff sub time$ max min $partialdiff sub time$ [ UY prec ]

detrended-bfl ∂_time max min ∂_time [ UY prec ] : ∂_time ∂_time Precipitacion data

prec prec partial_time min max partial_time ∂_time ∂_time Precipitacion from UY: PRECM_UY_v1p1: Gridded precipitation dataset at 30 km. It corresponds to Experiment No. 3 in the documentation.

Independent Variables (Grids)

time: grid: /time (months since 1960-01-01) ordered (Feb 1925) to (Nov 2009) by 1.0 N= 1018 pts :grid

Other Info

bufferwordsize

CE

null

CS

null

datatype

doublearraytype

file_missing_value

-999.0

missing_value

NaN

units

1.728 meter year^-3

history

detrended-bfl $partialdiff sub time$ max min $partialdiff sub time$ [ UY prec ]

min over lon[58.85526W, 53.64474W]
max over lat[29.5S, 36S]

References

Muñoz, ?~A.G., González, P., Baethgen, W.,: Gridded precipitation dataset ff or Uruguay. Version 1.1

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

Data Views

	time
detrended-bfl $partialdiff sub time$ max min $partialdiff sub time$ [ 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