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NiMet WASP queriesENACTS statequery disp_area
NiMet WASP queriesENACTS statequery disp_area.Independent Variables (Grids)
- province
- grid: /province (ids) unordered [ (0aÊ'0aÊ') (0aÊ'0aÊ') (m) (0aÊ'0aÊ') (0aÊ'0aÊ') (0aÊ'0aÊ') (0aÊ'0aÊ') (0aÊ'0aÊ') (ver) (ЈΠ) (0aÊ'0aÊ') (0aÊ'0aÊ') (0aÊ'0aÊ') (@hè ) () (6F7B) (2D15) (7174) (A309) (E356) (F9FA) (2C3C) (F8EE) (AA2B) (a) (1321) (62D9) (1815) (as province,* from g2015_2014_1 where adm1_name is not null and adm0_name~'Nigeria' order by adm1_name)as mybquery) as ivarq;) (Ò¹() (q¹() (0aÊ'0aÊ') (ÐaÊ'ÐaÊ'ØPC) (0aÊ'0aÊ'0aÊ') (0aÊ'0aÊ'0aÊ') (0aÊ'0aÊ'0aÊ')] :grid
Other Info
- datatype
- realarraytype
- PGtype
- varchar
- units
- ids
Last updated: Tue, 13 Aug 2024 08:17:43 GMT
Data Views
Views
line plots
color bars
scatter| province | |
 NiMet WASP queriesENACTS statequery disp_area[ | province] | M |
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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 province
- Differentiate along province
- Take differences along province
RMS (root mean square with mean *not* removed) over province |
RMSA (root mean square with mean removed) over province |
Maximum over province |
Minimum over province |
Detrend (best-fit-line) over province |
Note on units