Pre-trained models for "A note on leveraging synergy in multiple meteorological datasets with deep learning for rainfall-runoff modeling"
- 1. LIT AI Lab & Institute for Machine Learning, Johannes Kepler University Linz, Austria
- 2. Google Research, Mountain View, CA United States
Description
This dataset contains the pre-trained models from the publication "A note on leveraging synergy in multiple meteorological datasets with deep learning for rainfall-runoff modeling". For each input configuration, the dataset contains 10 model repetitions. Each run has a separate folder, containing the model weights, run configuration, validation and test set results. The models were trained using the code available at https://github.com/kratzert/multiple_forcing
Paper reference (accepted for publication):
Kratzert, F., Klotz, D., Hochreiter, S., and Nearing, G. S.: A note on leveraging synergy in multiple meteorological datasets with deep learning for rainfall-runoff modeling, Hydrol. Earth Syst. Sci. Discuss. [preprint], https://doi.org/10.5194/hess-2020-221, in review, 2020.
The paper is available at https://doi.org/10.5194/hess-2020-221
Files
multi-forcing-models.zip
Files
(6.2 GB)
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