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∂Y max root mean sq anom [ OLE2 CPT ESCENARIO1 TMIN ] : ∂Y Probabilidades -Temperatura Mínima - Categorías data
∂Y max root mean sq anom [ OLE2 CPT ESCENARIO1 TMIN ] .Independent Variables (Grids)
- Forecast Lead Time in Months
- grid: /L (months) ordered [ (2.5)] :grid
- Latitude (latitude)
- grid: /Y (degree_north) ordered (32.5N) to (62.5S) by 0.5 N= 191 pts :grid
Other Info
- CE
- null
- CS
- null
- datatype
- realarraytype
- file_missing_value
- -1.0
- missing_value
- NaN
- pointwidth
- 0
- units
- 0.572957795130823 radian-1 north
- history
- $partialdiff sub Y$ max root mean sq anom [ OLE2 CPT ESCENARIO1 TMIN ]
- Averaged over X[117.75W, 28.25W] C[Bajo la Normal, Sobre la Normal] minimum 0.0% data present
max over S[0000 1 Jan 2000, 0000 1 Dec 2025]
- Averaged over X[117.75W, 28.25W] C[Bajo la Normal, Sobre la Normal] 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
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OLE2 CPT ESCENARIO1[
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 Y
- Differentiate along Y
- Take differences along Y
RMS (root mean square with mean *not* removed) over Y |
RMSA (root mean square with mean removed) over Y |
Maximum over Y |
Minimum over Y |
Detrend (best-fit-line) over Y |
Note on units