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Updated timeseries data generated by the error model. This serie can contain data for the historic and the forecast period.
interpolationOptions
- Interpolation options for filling the missing values of the observed time series. This parameter is optional.
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- linear ; for linear interpolation between available values
- block ; for block interpolation (note: the last available value is then used until a new value available).
- default ; for replacing unreliable values with a default.
gapLength
Maximum allowed gap size that can be filled using interpolation.
defaultValue
Default value required for 'defaultvalue' interpolation option.
maxObserved
Maximum value to be used by the error module. Higher values will be converted to NaN and not used as input for error correction. This parameter is optional.
minObserved
Minimum value to be used by the error module. Lower values will be converted to NaN and not used as input for error correction. This parameter is optional.
maxResult
Maximum value to be generated by the error module. This setting can be used to specify an upper limit of the generated output timeseries. This parameter is optional.
minResult
Minimum value to be generated by the error module. This setting can be used to specify a lower limit of the generated output timeseries. This parameter is optional.
ignoreDoubtful
Should the error module ignore doubtful input values. This parameter is optional.
ignoreTrailingMissingsInSimulatedTimeSeries
If this is true, then all missing values after the last non-missing value in the simulated time series are ignored. If this is false, then gives an error message when there are missing values after the last non-missing value in the simulated time series. Default is false.
loopOverMultipleTimeSeries
Since 2016.02. If this is true, then it is possible to configure locationSets in the input and output variables for this errorModel. This errorModel will then loop over these locations and run for each location separately. If this is false, then the observed input and output variables should contain only one location. Default is false. In any case, if the simulated input variables contain multiple time series for a given location, then these will be merged to create a single simulated input time series for that location. Note: looping over multiple ensemble members and/or qualifiers for the same location is not supported.
logLevelNoObservedValues
Optional. Specify the log level for the log message that is logged when all observed values are missing for a given input time series. Can be error, warn or info. Default is warn.
outputVariable
Definition of output variable as a result of the error model. A single timeSeriesSet for one location output variable error model is defined.
logLevelCoefficientsInfo
Option 'logLevelCoefficientsInfo' is set in ErrorModelSetsComplexType directly under element 'errorModelSet'. The value defaults to 'debug', such that the computed coefficients are only logged when the module is run in debug mode. Set the value to 'info' to show the coefficients in the standard logging.
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