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∂S root mean sq anom root mean sq [ OLE2 CPT ESCENARIO2 AFCTMIN ] : ∂S 2AFC Temperatura Mínima data
∂S root mean sq anom root mean sq [ OLE2 CPT ESCENARIO2 AFCTMIN ] .Independent Variables (Grids)
- S (forecast_reference_time)
- grid: /S (days since 1960-01-01) ordered [ (1200 16 Jan 2000 - 1200 15 Feb 2000) (1200 15 Feb 2000 - 1200 16 Mar 2000) (1200 16 Mar 2000 - 2400 15 Apr 2000) ... (1200 16 Oct 2025 - 2400 15 Nov 2025)] N= 310 pts :grid
Other Info
- CE
- null
- CS
- null
- datatype
- realarraytype
- file_missing_value
- -999.0
- missing_value
- NaN
- pointwidth
- 0
- units
- 1.15740740740741×10-07 second-1
- history
- $partialdiff sub S$ root mean sq anom root mean sq [ OLE2 CPT ESCENARIO2 AFCTMIN ]
- Averaged over Y[63S, 33N] minimum 0.0% data present
Averaged over X[117.75W, 28.25W] minimum 0.0% data present
- Averaged over Y[63S, 33N] minimum 0.0% data present
Last updated: Sat, 06 Dec 2025 07:30:02 GMT
Expires: Mon, 05 Jan 2026 00:00:00 GMT
Data Views
Views
line plots
color bars
scatter
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