data: root mean sq anom [ MGAP IPA PPNA promedio ] anomalies

served from dlibrary.snia.gub.uy

root mean sq anom [ MGAP IPA PPNA promedio ] anomalies: Promedio data

promedio promedio promedio promedio Promedio from MGAP IPA PPNA: PPNA mensual.

Independent Variables (Grids)

Time (time): grid: /T (months since 1960-01-01) ordered (16 Mar 2000 - 15 Apr 2000) to (16 Apr 2017 - 15 May 2017) by 1.0 N= 206 pts :grid

Other Info

bufferwordsize

CE

null

CS

null

datatype

doublearraytype

file_missing_value

-9999.0

missing_value

NaN

units

unitless

history

root mean sq anom [ MGAP IPA PPNA promedio ]
Averaged over Region[1.5, 10.5] minimum 0.0% data present

root mean sq anom [ MGAP IPA PPNA promedio ] climatology

Averaged over Region[1.5, 10.5] minimum 0.0% data present
Averaged over T2[16 Mar 2000 - 15 Mar 2001, 16 Mar 2016 - 15 Mar 2017] minimum 0.0% data present

Last updated: Tue, 27 Jun 2017 15:51:03 GMT

Data Views

	T
doc[]
MGAP IPA PPNA[minimo nombre the_geom promedio label maximo desvio ]
root mean sq anom [ MGAP IPA PPNA promedio ] anomalies[ T \|]	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 T
Differentiate along T
Take differences along T