root mean sq anom root mean sq anom root mean sq [ OLE2 CPT ESCENARIO1 TMIN ] : Probabilidades -Temperatura Mínima - Categorías data
root mean sq anom root mean sq anom root mean sq [ OLE2 CPT ESCENARIO1 TMIN ] .
Independent Variables (Grids)
- Categorias
- grid: /C (ids) unordered [ (Bajo la Normal) (Normal) (Sobre la Normal)] :grid
- Forecast Lead Time in Months
- grid: /L (months) ordered [ (2.5)] :grid
Other Info
- bufferwordsize
- 8
- CE
- null
- CS
- null
- datatype
- doublearraytype
- file_missing_value
- -1.0
- missing_value
- NaN
- pointwidth
- 0
- units
- percent
- standard units*
- 0.01
- history
- root mean sq anom root mean sq [ OLE2 CPT ESCENARIO1 TMIN ]
- Averaged over S[0000 1 Jan 2000, 0000 1 Mar 2025] minimum 0.0% data present
Averaged over X[117.75W, 28.25W] minimum 0.0% data present
root mean sq anom root mean sq anom root mean sq [ OLE2 CPT ESCENARIO1 TMIN ] - Averaged over Y[32.75N, 62.75S] minimum 0.0% data present
Last updated: Thu, 06 Mar 2025 07:30:01 GMT
Expires: Sat, 05 Apr 2025 00:00:00 GMT
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 C
- Differentiate along C
- Take differences along C
Average over
C
|
RMS (root mean square with mean *not* removed) over
C
|
RMSA (root mean square with mean removed) over
C
|
Maximum over
C
|
Minimum over
C
|
Detrend (best-fit-line) over
C
|
Note on units