served from 129.236.110.25
mean mean ∂C root mean sq [ OLE2 CPT ESCENARIO1 ODDSTMAX ] : ∂C ODDS Temperatura Máxima data
mean mean ∂C root mean sq [ OLE2 CPT ESCENARIO1 ODDSTMAX ] .Independent Variables (Grids)
- Forecast Lead Time in Months
- grid: /L (months) ordered [ (2.5)] :grid
- Longitude (longitude)
- grid: /X (degree_east) ordered (117.5W) to (28.5W) by 0.5 N= 179 pts :grid
Other Info
- bufferwordsize
- 8
- CE
- null
- CS
- null
- datatype
- doublearraytype
- file_missing_value
- -999.0
- missing_value
- NaN
- pointwidth
- 0
- units
- percent /ids
- history
- mean $partialdiff sub C$ root mean sq [ OLE2 CPT ESCENARIO1 ODDSTMAX ]
- Averaged over S[Jan 2000, Nov 2025] minimum 0.0% data present
Averaged over C[, ] minimum 0.0% data present
mean mean $partialdiff sub C$ root mean sq [ OLE2 CPT ESCENARIO1 ODDSTMAX ]- Averaged over Y[63S, 33N] minimum 0.0% data present
- Averaged over S[Jan 2000, Nov 2025] 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
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 X
- Differentiate along X
- Take differences along X
RMS (root mean square with mean *not* removed) over X |
RMSA (root mean square with mean removed) over X |
Maximum over X |
Minimum over X |
Detrend (best-fit-line) over X |
Note on units