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∂S ∂L [ ANACIM CPT ENACTSv1 cfs2 sst precip target_date ] : ∂S ∂L Saison Prévue data
target_date partial_L ∂S ∂L Saison Prévue from ANACIM CPT ENACTSv1 cfs2 sst precip: Précipitations. isIndependent Variables (Grids)
- L
- grid: /L (months) ordered [ (3.5)] :grid
- S (forecast_reference_time)
- grid: /S (months since 1960-01-01) ordered [ (Apr 2018)] :grid
Other Info
- calendar
- 360
- CE
- null
- CS
- null
- datatype
- realarraytype
- gridid
- 167748728
- pointwidth
- 3
- scale_max
- null
- scale_min
- null
- standard_name
- forecast_reference_time
- units
- 12 year-1
Last updated: Thu, 26 Oct 2023 14:58:08 GMT
Data Views
| L | S | |
 $partialdiff sub S$ $partialdiff sub L$ [ ANACIM CPT ENACTSv1 cfs2 sst precip target_date ] Apr 2018 3.5 months[ S L |] | M | 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
- Differentiate along
- Take differences along
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