Vladimir M. Krasnopolsky

Publication Activity (10 Years)

Years Active: 1999-2018
Publications (10 Years): 2

Top Topics

Weather Prediction

Prediction Model

Top Venues

Comput. Intell. Neurosci.

Adv. Artif. Neural Syst.

Appl. Comput. Intell. Soft Comput.

Publications

Vladimir M. Krasnopolsky, Sudhir Nadiga, Avichal Mehra, Eric Bayler
Adjusting Neural Network to a Particular Problem: Neural Network-Based Empirical Biological Model for Chlorophyll Concentration in the Upper Ocean. Appl. Comput. Intell. Soft Comput. 2018 (2018)
Vladimir M. Krasnopolsky, Sudhir Nadiga, Avichal Mehra, Eric Bayler, David Behringer
Neural Networks Technique for Filling Gaps in Satellite Measurements: Application to Ocean Color Observations. Comput. Intell. Neurosci. 2016 (2016)
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, 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. IJCNN (2009)
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)
Vladimir M. Krasnopolsky
Reducing uncertainties in neural network Jacobians and improving accuracy of neural network emulations with NN ensemble approaches. Neural Networks 20 (4) (2007)
Vladimir Cherkassky, William Hsieh, Vladimir M. Krasnopolsky, Dimitri P. Solomatine, Julio J. Valdés
Computational intelligence in earth and environmental sciences. Neural Networks 20 (4) (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 Cherkassky, Vladimir M. Krasnopolsky, Dimitri P. Solomatine, Julio J. Valdés
Computational intelligence in earth sciences and environmental applications: Issues and challenges. Neural Networks 19 (2) (2006)
Vladimir Cherkassky, Vladimir M. Krasnopolsky, Dimitri P. Solomatine, Julio J. Valdés
2006 Special issue: Earth Sciences and Environmental Applications of Computational IntelligenceIntroduction. Neural Networks 19 (2) (2006)
Vladimir M. Krasnopolsky
Reducing Uncertainties in Neural Network Jacobians and Improving Accuracy of Neural Network Emulations with NN Ensemble Approaches. 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)
Vladimir M. Krasnopolsky, Carlos J. Lozano, Deanna Spindler, Ilya Rivin, Desiraju B. Rao
Using Neural Network to Enhance Assimilating Sea Surface Height Data into an Ocean Model. IJCNN (2006)
Vladimir M. Krasnopolsky, Helmut Schiller
Some neural network applications in environmental sciences. Part I: forward and inverse problems in geophysical remote measurements. Neural Networks 16 (3-4) (2003)
Vladimir M. Krasnopolsky, Frédéric Chevallier
Some neural network applications in environmental sciences. Part II: advancing computational efficiency of environmental numerical models. Neural Networks 16 (3-4) (2003)
Vladimir M. Krasnopolsky
Using NNs to retrieve multiple geophysical parameters from satellite data. IJCNN (1999)