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max root mean sq anom ∂Y ∂S [ OLE2 CPT ESCENARIO2 TMAX ] : ∂Y ∂S Probabilidades -Temperatura Máxima - Categorías data
max root mean sq anom ∂Y ∂S [ OLE2 CPT ESCENARIO2 TMAX ] .Independent Variables (Grids)
- Forecast Lead Time in Months
- grid: /L (months) ordered [ (2.5)] :grid
- S (forecast_reference_time)
- grid: /S (months since 1960-01-01) ordered (Jan 2000) to (Nov 2025) by 1.0 N= 311 pts :grid
- Latitude (latitude)
- grid: /Y (degree_north) ordered (32.25N) to (62.25S) by 0.5 N= 190 pts :grid
Other Info
- bufferwordsize
- 8
- CE
- null
- CS
- null
- datatype
- doublearraytype
- file_missing_value
- -1.0
- missing_value
- NaN
- pointwidth
- 0
- units
- 6.87549354156988 radian-1 north year-1
- history
- max root mean sq anom $partialdiff sub Y$ $partialdiff sub S$ [ OLE2 CPT ESCENARIO2 TMAX ]
- Averaged over C[, ] minimum 0.0% data present
max over X[117.75W, 28.25W]
- Averaged over C[, ] 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
data as colors
data as contours| L | S | Y | |
 max root mean sq anom $partialdiff sub Y$ $partialdiff sub S$ [ OLE2 CPT ESCENARIO2 TMAX ] 2.5 months[ Y | S L] | M | M | M |
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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 S
- Differentiate along Y S
- Take differences along Y S
RMS (root mean square with mean *not* removed) over Y S | Y S |
RMSA (root mean square with mean removed) over Y S | Y S |
Maximum over Y S | Y S |
Minimum over Y S | Y S |
Detrend (best-fit-line) over Y S | Y S |
Note on units