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max max root mean sq ∂Y [ IRI NOAA-VECTOR R0FCST R0FCST_DJF20182019 ] : ∂Y Probabilidades - R0 - Categorías data
max max root mean sq ∂Y [ IRI NOAA-VECTOR R0FCST R0FCST_DJF20182019 ] . isIndependent 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 [ (Nov 2018)] :grid
Other Info
- CE
- null
- CS
- null
- datatype
- realarraytype
- file_missing_value
- -1.0
- missing_value
- NaN
- pointwidth
- 0
- units
- 0.572957795130823 radian-1 north
- history
- max root mean sq $partialdiff sub Y$ [ IRI NOAA-VECTOR R0FCST R0FCST_DJF20182019 ]
- Averaged over X[125.5W, 66W] minimum 0.0% data present
max over C[Below, Above]
max max root mean sq $partialdiff sub Y$ [ IRI NOAA-VECTOR R0FCST R0FCST_DJF20182019 ]- max over Y[50N, 24N]
- Averaged over X[125.5W, 66W] minimum 0.0% data present
Last updated: Thu, 24 Jan 2019 03:12:42 GMT
Expires: Tue, 05 Feb 2019 00:00:00 GMT
Data Views
| L | S | |
 max max root mean sq $partialdiff sub Y$ [ IRI NOAA-VECTOR R0FCST R0FCST_DJF20182019 ] Nov 2018 2.5 months[ | S L] | 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
- 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