Time series management: Difference between revisions

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==Interpretation of time series==
==Interpretation of time series==


[[Bild:Theorie_Abb52.gif|thumb|300px|Abbildung 52: Interpretation of time series]]
The interpretation of a time series gives vital information about the given time series values respective how the time stamp and the corresponding values are to be understood.


The interpretation of a time series gives vital information about the given time series values respective how the time stamp and the according value are to be understood.
There are five different interpretation types. These types are listed below and depicted graphically in the following figure.


There are five different interpretation types. These types are depicted graphically in the following.
* Instantaneous (e.g. discharge)
* Block right, measured value left
* Block left, measured value right
* Cumulative
* Cumulative per time step (e.g. precipitation)


A false interpretation will inevitably lead to incorrect results.
[[Bild:TimeseriesInterpretation.png|600px|Figure 52: Interpretation of time series]]


Precipitation in [mm] is mostly given as cumulative curve per time step. Information about discharge at a certain measuring point depends on how the measured values are recorded respectively how they were avereged over a certain time period.
Using an incorrect interpretation will inevitably lead to incorrect results.


Precipitation in [mm] is mostly given as cumulative per time step. Discharge [m³/s] may be given as Instantaneous or as BlockRight/BlockLeft, depending on how the measured values were recorded respectively and whether they were averaged over a certain time period.


[[Kategorie:BlueM Theorie]]
[[Kategorie:BlueM Theorie]]

Revision as of 02:17, 6 June 2020

BlueM_icon.png BlueM.Sim | Download | Application | Theory | Development

The time series management is the interface between BlueM and loads into the considered system. The loads are presented in the form of time series. Basically the are stations to which time series can be assigned, differentiated according to the following types: discharge, precipitation, temperature and content.

BlueM uses its own time series format in binary form (BIN). Furthermore time series in the ZRE-Format can be used.


Interpretation of time series

The interpretation of a time series gives vital information about the given time series values respective how the time stamp and the corresponding values are to be understood.

There are five different interpretation types. These types are listed below and depicted graphically in the following figure.

  • Instantaneous (e.g. discharge)
  • Block right, measured value left
  • Block left, measured value right
  • Cumulative
  • Cumulative per time step (e.g. precipitation)

Figure 52: Interpretation of time series

Using an incorrect interpretation will inevitably lead to incorrect results.

Precipitation in [mm] is mostly given as cumulative per time step. Discharge [m³/s] may be given as Instantaneous or as BlockRight/BlockLeft, depending on how the measured values were recorded respectively and whether they were averaged over a certain time period.