Using NNs to retrieve multiple geophysical parameters from satellite data. - Vladimir M. Krasnopolsky (IJCNN, 1999)

Some neural network applications in environmental sciences. Part II: advancing computational efficiency of environmental numerical models. - Vladimir M. Krasnopolsky; Frédéric Chevallier (Neural Networks, 2003)

Some neural network applications in environmental sciences. Part I: forward and inverse problems in geophysical remote measurements. - Vladimir M. Krasnopolsky; Helmut Schiller (Neural Networks, 2003)

Special session panel discussion: methodological issues in the application of learning methods to climate modeling and Earth sciences. - Vladimir Cherkassky; Vladimir M. Krasnopolsky; Dimitri P. Solomatine; Julio J. Valdés (IJCNN, 2005)

Complex hybrid models combining deterministic and machine learning components as a new synergetic paradigm in numerical climate modeling and weather prediction. - Vladimir M. Krasnopolsky; Michael S. Fox-Rabinovitz (IJCNN, 2005)

Robustness of the NN Approach to emulating atmospheric long wave radiation in complex climate models. - Vladimir M. Krasnopolsky; Michael S. Fox-Rabinovitz; Ming-Dah Chou (IJCNN, 2005)

Ensemble of Neural Network Emulations for Climate Model Physics: The Impact on Climate Simulations. - Michael S. Fox-Rabinovitz; Vladimir M. Krasnopolsky; Alexei A. Belochitski (IJCNN, 2006)

Using Neural Network to Enhance Assimilating Sea Surface Height Data into an Ocean Model. - Vladimir M. Krasnopolsky; Carlos J. Lozano; Deanna Spindler; Ilya Rivin; Desiraju B. Rao (IJCNN, 2006)

2006 Special issue: Earth Sciences and Environmental Applications of Computational IntelligenceIntroduction. - Vladimir Cherkassky; Vladimir M. Krasnopolsky; Dimitri P. Solomatine; Julio J. Valdés (Neural Networks, 2006)

Computational intelligence in earth sciences and environmental applications: Issues and challenges. - Vladimir Cherkassky; Vladimir M. Krasnopolsky; Dimitri P. Solomatine; Julio J. Valdés (Neural Networks, 2006)

Complex hybrid models combining deterministic and machine learning components for numerical climate modeling and weather prediction. - Vladimir M. Krasnopolsky; Michael S. Fox-Rabinovitz (Neural Networks, 2006)

Compound Parameterization for a Quality Control of Outliers and Larger Errors in Neural Network Emulations of Model Physics. - Vladimir M. Krasnopolsky; Michael S. Fox-Rabinovitz; Alexei A. Belochitski (IJCNN, 2007)

Computational intelligence in earth and environmental sciences. - Vladimir Cherkassky; William Hsieh; Vladimir M. Krasnopolsky; Dimitri P. Solomatine; Julio J. Valdés (Neural Networks, 2007)

Reducing uncertainties in neural network Jacobians and improving accuracy of neural network emulations with NN ensemble approaches. - Vladimir M. Krasnopolsky (Neural Networks, 2007)

Using neural network emulations of model physics in numerical model ensembles. - Vladimir M. Krasnopolsky; Michael S. Fox-Rabinovitz; Alexei A. Belochitski (IJCNN, 2008)

Neural network approach for robust and fast calculation of physical processes in numerical environmental models: Compound parameterization with a quality control of larger errors. - Vladimir M. Krasnopolsky; Michael S. Fox-Rabinovitz; Hendrik L. Tolman; Alexei A. Belochitski (Neural Networks, 2008)

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 (IJCNN, 2009)

Development of neural network convection parameterizations for numerical climate and weather prediction models using cloud resolving model simulations. - Vladimir M. Krasnopolsky; Michael S. Fox-Rabinovitz; Alexei A. Belochitski (IJCNN, 2010)

Tree approximation of the long wave radiation parameterization in the NCAR CAM global climate model. - Alexei A. Belochitski; Peter Binev; Ronald A. DeVore; Michael S. Fox-Rabinovitz; Vladimir M. Krasnopolsky; Philipp Lamby (J. Comput. Appl. Math., 2011)

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. - Vladimir M. Krasnopolsky; Michael S. Fox-Rabinovitz; Alexei A. Belochitski (Adv. Artif. Neural Syst., 2013)

Neural Networks Technique for Filling Gaps in Satellite Measurements: Application to Ocean Color Observations. - Vladimir M. Krasnopolsky; Sudhir Nadiga; Avichal Mehra; Eric Bayler; David Behringer (Comput. Intell. Neurosci., 2016)

Adjusting Neural Network to a Particular Problem: Neural Network-Based Empirical Biological Model for Chlorophyll Concentration in the Upper Ocean. - Vladimir M. Krasnopolsky; Sudhir Nadiga; Avichal Mehra; Eric Bayler (Appl. Comput. Intell. Soft Comput., 2018)