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∂S ∫dS [ ANACIM CPT ENACTSv1 cfs2 sst precip target_date ] : ∂S Saison Prévue data
target_date int_dS partial_S ∂S Saison Prévue from ANACIM CPT ENACTSv1 cfs2 sst precip: Précipitations.Independent Variables (Grids)
- L
- grid: /L (months) ordered [ (3.5)] :grid
- S (forecast_reference_time)
- grid: /S (months since 1960-01-01) ordered (16 Mar 2018 - 15 Apr 2018) to (16 Apr 2018 - 15 May 2018) N= 2 pts :grid
Other Info
- calendar
- 360
- CE
- null
- CS
- null
- datatype
- realarraytype
- gridid
- 167747824
- pointwidth
- 3
- scale_max
- null
- scale_min
- null
- standard_name
- forecast_reference_time
- units
- months
- standard units*
- 0.0833333333333333 year
Last updated: Thu, 26 Oct 2023 14:58:08 GMT
Data Views
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color bars
scatter| L | S | |
 $partialdiff sub S$ $integral dS$ [ ANACIM CPT ENACTSv1 cfs2 sst precip target_date ] 3.5 months[ S L |] | M | 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 S
- Differentiate along S
- Take differences along S
RMS (root mean square with mean *not* removed) over S |
RMSA (root mean square with mean removed) over S |
Maximum over S |
Minimum over S |
Detrend (best-fit-line) over S |
Note on units