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Computational material used for a paper assessing using deep learning for monthly streamflow

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csiro-hydroinformatics/monthly-lstm-runoff

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Computational setup for monthly runoff simulations with LSTM

This repository is the content for a web site explaining how to reuse computational material used for the paper Deep learning for monthly rainfall-runoff modelling: a comparison with classical rainfall-runoff modelling across Australia

Credits

Contributions to this codebase by Peter Fitch and Jean-Michel Perraud. Conceptual inputs from Julien Lerat and Stephanie Clark.

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Computational material used for a paper assessing using deep learning for monthly streamflow

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