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root mean sq anom detrended-bfl ∂S [ OLE2 CPT ESCENARIO2 ODDSTMIN ] : ∂S ODDS Temperatura Mínima data
root mean sq anom detrended-bfl ∂S [ OLE2 CPT ESCENARIO2 ODDSTMIN ] .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
- S (forecast_reference_time)
- grid: /S (days since 1960-01-01) ordered [ (Jan 2000) (Feb 2000) (Mar 2000) ... (Nov 2025)] N= 311 pts :grid
- Longitud (longitude)
- grid: /X (degree_east) ordered (117.75W) to (28.25W) by 0.5 N= 180 pts :grid
Other Info
- bufferwordsize
- 8
- CE
- null
- CS
- null
- datatype
- doublearraytype
- file_missing_value
- -999.0
- missing_value
- NaN
- pointwidth
- 0
- units
- 1.15740740740741×10-07 second-1
- history
- Averaged over Y[32.75N, 62.75S] 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
OLE2 CPT ESCENARIO2[
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 X C S
- Differentiate along X C S
- Take differences along X C S
RMS (root mean square with mean *not* removed) over X C S | X C X S C S | X C S |
RMSA (root mean square with mean removed) over X C S | X C X S C S | X C S |
Maximum over X C S | X C X S C S | X C S |
Minimum over X C S | X C X S C S | X C S |
Detrend (best-fit-line) over X C S | X C X S C S | X C S |
Note on units