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NiMet WASP queriesENACTS statequery shape_leng
NiMet WASP queriesENACTS statequery shape_leng.Independent Variables (Grids)
- province
- grid: /province (ids) unordered [ () (0aŹ'0aŹ') (m) (0aŹ'0aŹ') (0aŹ'0aŹ') (0aŹ'0aŹ') (0aŹ'0aŹ') (0aŹ'0aŹ') (ver) (0aŹ'0aŹ') (0aŹ'0aŹ') (0aŹ'0aŹ') (0aŹ'0aŹ') (ŲaŹ'ŲaŹ'ŲPC) (0aŹ'0aŹ'0aŹ') (0aŹ'0aŹ'0aŹ') (0aŹ'0aŹ'0aŹ') (ŠRI() (0aŹ'0aŹ') (ŠaŹ'ŠaŹ'ŲPC) (0aŹ'0aŹ'0aŹ') (0aŹ'0aŹ'0aŹ') (0aŹ'0aŹ'0aŹ') (0aŹ'0aŹ'0aŹ') (a) (ĄaŹ'ĄaŹ'pe) (0aŹ'0aŹ' ) (0aŹ'0aŹ') (0aŹ'0aŹ') (@aŹ'@aŹ'$) (ąHč ) ( ) (0aŹ'0aŹ'0aŹ') (0aŹ'0aŹ'0aŹ') (ŠaŹ'ŠaŹ'ŲPC) (6f20144000a201e0cbe5)] :grid
Other Info
- datatype
- realarraytype
- missing_value
- NaN
- PGtype
- float8
- units
- unitless
Last updated: Tue, 13 Aug 2024 08:17:43 GMT
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scatter| province | |
 NiMet WASP queriesENACTS statequery shape_leng[ | 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