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• Grid time series with different ensemble members (variable needs to have read complete forecast as readWriteMode, timeSeriesType can be temporary) 
• Scalar time series, with ensemble indices as values

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• Missing values in the index time series result in missing values in the output time series.

• Index values for which no matching ensemble member is found result in missing values in the output time series

• inputTimeSeriesGrids requires read complete forecast as readWriteMode

Use case: select a pre-calculated flood map based on a water level forecast

This use case is provided as an example, to inspire your own use and configuration choices.

Preparation steps:

• outside of Delft-FEWS: Create (interpolated) flood maps for the required water level granularity (e.g. every 5cm).
  • Ensure the corresponding water level is in the file name of the flood map (e.g. floodmap_xxxxcm1005cm.nc)
• Import the flood map library in Delft-FEWS as an ensemble
  • Create ensembleMemberIds based on the file name with the option fileNameEnsembleMemberIndexPatter (see Import Module configuration options#fileNameEnsembleMemberIndexPattern)
    In our example the file floodmap_1005cm.nc would get ensembleMemberId 1005
  • You can choose to use importType NETCDF-CF_GRID_REFERENCES (see NETCDF-CF_GRID#Importofmetadataand(OpenDAP)gridreferences(since2019.02))

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• Convert water level forecast to index, using a lookup transformation with a coefficientSetFile (see Simple#Coefficientset)
  • In the example the conversion is a simple as converting a water level forecast of 10.05 (m) to an index of 1005 (cm-)
• Select the corresponding flood map with this gridEnsembleMemberByIndex selection transformation.
  • In the example the index value of 1005 would select the grid with ensembleMemberId 1005, which is floodmap_1005.nc

XML example

<transformation id="ensembleLookup">
      <selection>
         <gridEnsembleMemberByIndex>
            <inputEnsembleIndices>
               <variableId>InputIndex</variableId>
            </inputEnsembleIndices>
            <inputTimeSeriesGrids>
               <variableId>InputGrids</variableId>
            </inputTimeSeriesGrids>
            <output>
               <variableId>Output</variableId>
            </output>
            <matchInputAndOutputGridTimes>false</matchInputAndOutputGridTimes>
         </gridEnsembleMemberByIndex>
      </selection>
   </transformation>
</transformationModule>

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