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This transformation can be used to select individual member(s) of an ensemble using a statistical feature, such as the most dry driest member(s), or the most wet wettest member(s).
The statistical feature is computed for the entire ensemble in another transformation and expressed as a single value statistical result at T0 for each ensemble member. The ensemble timeseries with the statistical result is specified as the ranking variable within the selectVariable. In addition, one needs to specify the order of ranking (default is ascending) and the number of members to select (starting from the top).
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