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root mean sq anom max mean ∫dY [ OLE2 CPT ESCENARIO2 TMIN ] : Probabilidades -Temperatura Mínima - Categorías data
root mean sq anom max mean ∫dY [ OLE2 CPT ESCENARIO2 TMIN ] . isIndependent Variables (Grids)
- 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
- 0.000174532925199433 radian north
- history
- max mean $integral dY$ [ OLE2 CPT ESCENARIO2 TMIN ]
- Averaged over Y[63S, 33N] minimum 0.0% data present
max over X[117.75W, 28.25W] S[0000 1 Jan 2000, 0000 1 Mar 2025]
root mean sq anom max mean $integral dY$ [ OLE2 CPT ESCENARIO2 TMIN ]- Averaged over C[Bajo la Normal, Sobre la Normal] minimum 0.0% data present
- Averaged over Y[63S, 33N] minimum 0.0% data present
Last updated: Thu, 06 Mar 2025 07:30:01 GMT
Expires: Sat, 05 Apr 2025 00:00:00 GMT
Data Views
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
- Differentiate along
- Take differences along
RMS (root mean square with mean *not* removed) over
RMSA (root mean square with mean removed) over
Maximum over
Minimum over
Detrend (best-fit-line) over
Note on units