Vladimir M. Krasnopolsky

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 Belochitski · Advances in Artificial Neural Systems · 2013 · 203 citations · Full text

Nn Convection Parameterization, Engineering, Neural Network +18

New Approach to Calculation of Atmospheric Model Physics: Accurate and Fast Neural Network Emulation of Longwave Radiation in a Climate Model

Vladimir M. Krasnopolsky, Michael S. Fox‐Rabinovitz, Dmitry Chalikov · Monthly Weather Review · 2005 · 201 citations

Engineering, Computational Model, Climate Modeling +23

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 · 190 citations

Climatology, Meteorology, Complex Hybrid Models +13

A stochastic variational method for few-body systems

V. I. Kukulin, Vladimir M. Krasnopolsky · Journal of Physics G Nuclear Physics · 1977 · 167 citations

Numerical Analysis, Spectral Theory, Engineering +11

Detailed study of the cluster structure of light nuclei in a three-body model

V. I. Kukulin, Vladimir M. Krasnopolsky, V.T. Voronchev et al. · Nuclear Physics A · 1986 · 128 citations

Cluster Science, High-energy Nuclear Reaction, Nuclear Physics +8