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MeanToInstantaneous
Excerpt |
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disaggregates data |
Input
- inputVariable
Output
- outputVariable
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If this is not the case, the procedure checks if there is a continous continuous rise or fall or if the mean values are in a peak or valley.
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After this procedure the estimated instantanaeous instantaneous values are corrected by using the AdjustQMeanDailyDischarge-transformation (a volume correction). This transformation will ensure that the mean values of the estimated instantaneous time series are equal to the orignal mean values.
Configuration example
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<transformation id="disaggregation imeanToInstantaneous">
<disaggregation>
<meanToInstantaneous>
<inputVariable>
<timeSeriesSet>
<moduleInstanceId>ImportTelemetry</moduleInstanceId>
<valueType>scalar</valueType>
<parameterId>Q.obs</parameterId>
<locationSetId>hydgauges</locationSetId>
<timeSeriesType>external historical</timeSeriesType>
<timeStep unit="minute" multiplier="15"/>
<relativeViewPeriod unit="day" startOverrulable="true" start="-7" end="0"/>
<readWriteMode>read only</readWriteMode>
</timeSeriesSet>
</inputVariable>
<outputVariable>
<timeSeriesSet>
<moduleInstanceId>Aggregate_Historic</moduleInstanceId>
<valueType>scalar</valueType>
<parameterId>Q.obs_disaggregated</parameterId>
<locationSetId>hydgauges</locationSetId>
<timeSeriesType>external historical</timeSeriesType>
<timeStep unit="minute" multiplier="5"/>
<relativeViewPeriod unit="day" startOverrulable="true" start="-7" end="0"/>
<readWriteMode>add originals</readWriteMode>
</timeSeriesSet>
</outputVariable>
</meanToInstantaneous>
</disaggregation>
</transformation>
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