data: root mean sq $integral dprovince$ [ NiMet WASP queriesENACTS statequery gid ]

root mean sq ∫dprovince [ NiMet WASP queriesENACTS statequery gid ]

root mean sq ∫dprovince [ NiMet WASP queriesENACTS statequery gid ] . is

Independent Variables (Grids)

Other Info

bufferwordsize: 8
CE: null
CS: null
datatype: doublearraytype
PGtype: int4
units: unitless ids
history: Averaged over province[Abia, ) from (select adm1_name as province,* from g2015_2014_1 where adm1_name is not null and adm0_name~'Nigeria' order by adm1_name) as myq limit 1]

Last updated: Tue, 13 Aug 2024 08:17:43 GMT

Data Views

	district
NiMet WASP queriesENACTS[cabaseline_full caENACTS-last_WASP12 statequery lgasquery countryquery laENACTS-last_WASP12 labaseline_full sabaseline_full saENACTS-last_WASP12 ]
NiMet WASP queriesENACTS lgasquery status[ \| district]	M
root mean sq $integral dprovince$ [ NiMet WASP queriesENACTS statequery gid ] [ \|]

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
Differentiate along
Take differences along

Average over
RMS (root mean square with mean *not* removed) over
RMSA (root mean square with mean removed) over
Maximum over
Minimum over
Detrend (best-fit-line) over

Note on units