The University of Adelaide
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Supporting data for "Flexible forecast value metric suitable for a wide range of decisions: application using probabilistic subseasonal streamflow forecasts" by Laugesen (2022)

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Includes input forecasts (CSV), forecast value datasets (HDF5), and generated figures (PNG, PDF). Organised into subdirectories for each figure.

The code used for this work will be released, along with a follow up publication, as a software library which can be used by researchers and industry to quantify forecast value using RUV.