Releases: yaniyuval/Neural_nework_parameterization
Associated code and data for ``Use of neural networks for stable, accurate and physically consistent parameterization of subgrid atmospheric processes with good performance at reduced precision''
Here we have the codes, processed data from simulations and neural network parameterizations used in the manuscript ``Use of neural networks for stable, accurate and physically consistent parameterization of subgrid atmospheric processes with good performance at reduced precision''
The README.md file have explanations about the code and data in the repository.
Associated code and data for ``Use of neural networks for stable, accurate and physically consistent parameterization of subgrid atmospheric processes with good performance at reduced precision''
Here we have the codes, processed data from simulations and neural network parameterizations used in the manuscript ``Use of neural networks for stable, accurate and physically consistent parameterization of subgrid atmospheric processes with good performance at reduced precision''
The README.md file have explanations about the code and data in the repository.
Associated code and data for ``Use of neural networks for stable, accurate and physically consistent parameterization of subgrid atmospheric processes with good performance at reduced precision''
Here we have the codes, processed data from simulations and neural network parameterizations used in the manuscript ``Use of neural networks for stable, accurate and physically consistent parameterization of subgrid atmospheric processes with good performance at reduced precision''
Associated code and data for ``Use of neural networks for stable, accurate and physically consistent parameterization of subgrid atmospheric processes with good performance at reduced precision''
Here we have the codes, processed data from simulations and neural network parameterizations used in the manuscript ``Use of neural networks for stable, accurate and physically consistent parameterization of subgrid atmospheric processes with good performance at reduced precision''