Theory of resonances. Principles and applications. VI Kukulin, VM Krasnopolsky, J Horacek Kluwer Academic Publisher, Dordrecht/Boston/London, 1989 | 557* | 1989 |
Detailed study of the cluster structure of light nuclei in a three-body model. II. The spectrum of low-lying states of nuclei with A=6.", Nucl. Phys., v. A453, pp. 365-88, 1986 V Kukulin, V Krasnopolsky, P Sazonov, V Voronchev Nuclear Physics A 453, 365-388, 1986 | 218 | 1986 |
Complex hybrid models combining deterministic and machine learning components for numerical climate modeling and weather prediction VM Krasnopolsky, MS Fox-Rabinovitz Neural Networks 19 (2), 122-134, 2006 | 212 | 2006 |
New approach to calculation of atmospheric model physics: Accurate and fast neural network emulation of longwave radiation in a climate model VM Krasnopolsky, MS Fox-Rabinovitz, DV Chalikov Monthly Weather Review 133 (5), 1370-1383, 2005 | 206 | 2005 |
Detailed study of the cluster structure of light nuclei in a three-body model. I. Ground state of 6Li. V Kukulin, V Krasnopolsky, P Sazonov, V Voronchev Nuclear Physics A 417, 128-156, 1984 | 205 | 1984 |
A neural network as a nonlinear transfer function model for retrieving surface wind speeds from the special sensor microwave imager VM Krasnopolsky, LC Breaker, WH Gemmill Journal of Geophysical Research: Oceans 100 (C6), 11033-11045, 1995 | 157 | 1995 |
Some neural network applications in environmental sciences. Part I: forward and inverse problems in geophysical remote measurements VM Krasnopolsky, H Schiller Neural Networks 16 (3-4), 321-334, 2003 | 156 | 2003 |
A neural network technique to improve computational efficiency of numerical oceanic models VM Krasnopolsky, DV Chalikov, HL Tolman Ocean Modelling 4 (3-4), 363-383, 2002 | 130 | 2002 |
Validation of coastal sea and lake surface temperature measurements derived from NOAA/AVHRR data X Li, W Pichel, P Clemente-Colon, V Krasnopolsky, J Sapper International Journal of Remote Sensing 22 (7), 1285-1303, 2001 | 127 | 2001 |
Using ensemble of neural networks to learn stochastic convection parameterizations for climate and numerical weather prediction models from data simulated by a cloud resolving … VM Krasnopolsky, MS Fox-Rabinovitz, AA Belochitski Advances in Artificial Neural Systems 2013 (1), 485913, 2013 | 125 | 2013 |
Some neural network applications in environmental sciences. Part II: Advancing computational efficiency of environmental numerical models VM Krasnopolsky, F ́de ́ric Chevallier Neural Networks 16 (3-4), 335-348, 2003 | 108 | 2003 |
Leveraging modern artificial intelligence for remote sensing and NWP: Benefits and challenges SA Boukabara, V Krasnopolsky, JQ Stewart, ES Maddy, N Shahroudi, ... Bulletin of the American Meteorological Society 100 (12), ES473-ES491, 2019 | 102 | 2019 |
Neural network emulations for complex multidimensional geophysical mappings: Applications of neural network techniques to atmospheric and oceanic satellite retrievals and … VM Krasnopolsky Reviews of Geophysics 45 (3), 2007 | 101 | 2007 |
Neural network approximations for nonlinear interactions in wind wave spectra: direct mapping for wind seas in deep water HL Tolman, VM Krasnopolsky, DV Chalikov Ocean Modelling 8 (3), 253-278, 2005 | 100 | 2005 |
Computational intelligence in earth sciences and environmental applications: Issues and challenges V Cherkassky, V Krasnopolsky, DP Solomatine, J Valdes Neural Networks 19 (2), 113-121, 2006 | 98 | 2006 |
The application of neural networks in the earth system sciences VM Krasnopolsky Neural Networks Emulations for Complex Multidimensional Mappings 46, 2013 | 87 | 2013 |
Accurate and fast neural network emulations of model radiation for the NCEP coupled climate forecast system: Climate simulations and seasonal predictions VM Krasnopolsky, MS Fox-Rabinovitz, YT Hou, SJ Lord, AA Belochitski Monthly Weather Review 138 (5), 1822-1842, 2010 | 85 | 2010 |
A neural network nonlinear multimodel ensemble to improve precipitation forecasts over continental US VM Krasnopolsky, Y Lin Advances in Meteorology 2012 (1), 649450, 2012 | 76 | 2012 |
Outlook for exploiting artificial intelligence in the earth and environmental sciences SA Boukabara, V Krasnopolsky, SG Penny, JQ Stewart, A McGovern, ... Bulletin of the American Meteorological Society 102 (5), E1016-E1032, 2021 | 74 | 2021 |
A neural network multiparameter algorithm for SSM/I ocean retrievals: Comparisons and validations VM Krasnopolsky, WH Gemmill, LC Breaker Remote sensing of environment 73 (2), 133-142, 2000 | 65 | 2000 |