Articles | Volume 385
https://doi.org/10.5194/piahs-385-267-2024
https://doi.org/10.5194/piahs-385-267-2024
Post-conference publication
 | 
18 Apr 2024
Post-conference publication |  | 18 Apr 2024

Seasonal precipitation forecasting with large scale climate predictors: a hybrid ensemble empirical mode decomposition-NARX scheme

Rim Ouachani, Zoubeida Bargaoui, and Taha Ouarda

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Short summary
This work is made to help mitigate some of the outcome of floods and enhance water management and monitoring, particularly for agriculture in the Medjerda river basin. A forecasting model is then built to predict monthly precipitation using pre-processing method in order to extract significant components. It can be concluded that climate indicators can add some additional information to enhance monthly precipitation forecasts at longer lead-times.