- Descripción
- Visualización
- Filtros de Datos
- Selección de Datos
- Archivos de Datos
- Tablas de Datos
- Modo Experto
sirve desde 129.236.110.25
root mean sq ∂Y mean max [ OLE2 CPT ESCENARIO2 TMED ] : ∂Y Probabilidades -Temperatura Media - Categorías data
root mean sq ∂Y mean max [ OLE2 CPT ESCENARIO2 TMED ] .Variables Independientes (Grillas)
- 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
Otra Info
- bufferwordsize
- 8
- CE
- null
- CS
- null
- datatype
- doublearraytype
- file_missing_value
- -1.0
- missing_value
- NaN
- pointwidth
- 0
- units
- 0.572957795130823 radian-1 north
- history
- $partialdiff sub Y$ mean max [ OLE2 CPT ESCENARIO2 TMED ]
- max over S[0000 1 Jan 2000, 0000 1 May 2025]
Averaged over C[Bajo la Normal, Sobre la Normal] minimum 0.0% data present
root mean sq $partialdiff sub Y$ mean max [ OLE2 CPT ESCENARIO2 TMED ]- Averaged over X[118W, 28W] minimum 0.0% data present
- max over S[0000 1 Jan 2000, 0000 1 May 2025]
Última Actualización: Tue, 06 May 2025 06:30:01 GMT
Expira: Thu, 05 Jun 2025 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 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