district
NiMet WASP queriesENACTS[cabaseline_full caENACTS-last_WASP12 statequery lgasquery countryquery laENACTS-last_WASP12 labaseline_full sabaseline_full saENACTS-last_WASP12 ]
grid: /district (ids) unordered [ (Aba North) (Aba South) (Abadam) ... (Zuru)] N= 775 pts :grid	D
$partialdiff sub district$ [ NiMet WASP queriesENACTS lgasquery adm0_code ][ | district]	M

SOURCES .NiMet .WASP .queriesENACTS lgasquery .adm0_code district exch district partial district differences

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 district
• Differentiate along district
• Take differences along district

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

Convert units from unitless/ids to

Note on units