Michael S. Fox-Rabinovitz

Publication Activity (10 Years)

Years Active: 2006-2013
Publications (10 Years): 0

Top Topics

Weather Prediction

Akaike Information Criterion

Stochastic Model

Prediction Model

Top Venues

Adv. Artif. Neural Syst.

Publications

Vladimir M. Krasnopolsky, Michael S. Fox-Rabinovitz, Alexei A. Belochitski
Using Ensemble of Neural Networks to Learn Stochastic Convection Parameterizations for Climate and Numerical Weather Prediction Models from Data Simulated by a Cloud Resolving Model. Adv. Artif. Neural Syst. 2013 (2013)
Alexei A. Belochitski, Peter Binev, Ronald A. DeVore, Michael S. Fox-Rabinovitz, Vladimir M. Krasnopolsky, Philipp Lamby
Tree approximation of the long wave radiation parameterization in the NCAR CAM global climate model. J. Comput. Appl. Math. 236 (4) (2011)
Vladimir M. Krasnopolsky, Michael S. Fox-Rabinovitz, Alexei A. Belochitski
Development of neural network convection parameterizations for numerical climate and weather prediction models using cloud resolving model simulations. IJCNN (2010)
Vladimir M. Krasnopolsky, Michael S. Fox-Rabinovitz, Alexei A. Belochitski
Using neural network emulations of model physics in numerical model ensembles. IJCNN (2008)
Vladimir M. Krasnopolsky, Michael S. Fox-Rabinovitz, Hendrik L. Tolman, Alexei A. Belochitski
Neural network approach for robust and fast calculation of physical processes in numerical environmental models: Compound parameterization with a quality control of larger errors. Neural Networks 21 (2-3) (2008)
Vladimir M. Krasnopolsky, Michael S. Fox-Rabinovitz, Alexei A. Belochitski
Compound Parameterization for a Quality Control of Outliers and Larger Errors in Neural Network Emulations of Model Physics. IJCNN (2007)
Michael S. Fox-Rabinovitz, Vladimir M. Krasnopolsky, Alexei A. Belochitski
Ensemble of Neural Network Emulations for Climate Model Physics: The Impact on Climate Simulations. IJCNN (2006)
Vladimir M. Krasnopolsky, Michael S. Fox-Rabinovitz
Complex hybrid models combining deterministic and machine learning components for numerical climate modeling and weather prediction. Neural Networks 19 (2) (2006)