As the first step, we directly adopted
(1) A DNN model from fluid dynamics
(2) Neural ODE
Currently, we are training the DL model based on hillslope physical model and modifying the DL model to adapt water age simulations.
One year prediction of multi-point trajectories
Therefore, our work is easy to be applied to predict transport of plumes.
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[3] Sahoo S., Lu Y., Berger M. (2022). Neural Flow Map Reconstruction. Computer Graphics Forum, 41.
[4] Lu Y., Jiang K., Levine J. A., Berger M. (2021). Compressive Neural Representations of Volumetric Scalar Fields. Computer Graphics Forum, 40.