Articles | Volume 22, issue 12
https://doi.org/10.5194/hess-22-6257-2018
https://doi.org/10.5194/hess-22-6257-2018
Research article
 | 
06 Dec 2018
Research article |  | 06 Dec 2018

Evaluating post-processing approaches for monthly and seasonal streamflow forecasts

Fitsum Woldemeskel, David McInerney, Julien Lerat, Mark Thyer, Dmitri Kavetski, Daehyok Shin, Narendra Tuteja, and George Kuczera

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Latest update: 22 Nov 2024
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Short summary
This paper evaluates several schemes for post-processing monthly and seasonal streamflow forecasts using the Australian Bureau of Meteorology's streamflow forecasting system. Through evaluation across 300 catchments, the best-performing scheme has been identified, which is found to substantially improve important aspects of the forecast quality. This finding is significant because the improved forecasts help water managers and users of the service to make better-informed decisions.