How to deal with inhomogeneous outputs and high dimensionality of neural network emulations of model physics in numerical climate and weather prediction models

Vladimir M. Krasnopolsky, Stephen J. Lord, Shrinivas Moorthi, Todd Spindler. How to deal with inhomogeneous outputs and high dimensionality of neural network emulations of model physics in numerical climate and weather prediction models. In International Joint Conference on Neural Networks, IJCNN 2009, Atlanta, Georgia, USA, 14-19 June 2009. pages 1668-1673, IEEE, 2009. [doi]

@inproceedings{KrasnopolskyLMS09,
  title = {How to deal with inhomogeneous outputs and high dimensionality of neural network emulations of model physics in numerical climate and weather prediction models},
  author = {Vladimir M. Krasnopolsky and Stephen J. Lord and Shrinivas Moorthi and Todd Spindler},
  year = {2009},
  doi = {10.1109/IJCNN.2009.5178898},
  url = {http://dx.doi.org/10.1109/IJCNN.2009.5178898},
  researchr = {https://researchr.org/publication/KrasnopolskyLMS09},
  cites = {0},
  citedby = {0},
  pages = {1668-1673},
  booktitle = {International Joint Conference on Neural Networks, IJCNN 2009, Atlanta, Georgia, USA, 14-19 June 2009},
  publisher = {IEEE},
}