Vladimir Krasnopolsky's Publications, 1993 - Present

V. M. Krasnopolsky, M.S. Fox-Rabinovitz, and A. A. Belochitski, 2008: "Ensembles of Numerical Climate and Weather Prediction Models
Using Neural Network Emulations of Model Physics", Proc. of  the 2008 IEEE World Congress on Computational Intelligence, Hong Kong, June 1-6, 2008, CD-ROM, paper NN0498, pp. 1524-1531

V. M. Krasnopolsky, M.S. Fox-Rabinovitz, and A. A. Belochitski, 2008: "Decadal Climate Simulations Using Accurate and Fast Neural Network Emulation
of Full, Long- and Short Wave, Radiation.", Monthly Weather Review, in press.

V. M. Krasnopolsky, M. S. Fox-Rabinovitz, Y. T. Hou, S. J. Lord, and A. A. Belochitski, 2008: "Accurate and Fast Neural Network Emulations of Long Wave Radiation for the NCEP Climate Forecast System Model", Proc.of 20th Conference on Climate Variability and Change, 88th AMS Annual Meeting, New Orleans, LA, 20-24 January 2008, CD-ROM, P3.10

 V. M. Krasnopolsky, M.S. Fox-Rabinovitz, H.L. Tolman, and A. A. Belochitski, 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.", Neural Networks, 21, 535–543; doi:10.1016/j.neunet.2007.12.019  

V.M. Krasnopolsky, 2007: “Neural Network Emulations for Complex Multidimensional Geophysical Mappings: Applications of Neural Network Techniques to Atmospheric and Oceanic Satellite Retrievals and Numerical Modeling”, Reviews of Geophysics, 45, RG3009, doi:10.1029/2006RG000200.

 V.M. Krasnopolsky, 2007: “Reducing Uncertainties in Neural Network Jacobians and Improving Accuracy of Neural Network Emulations with NN Ensemble Approaches”, Neural Networks, 20, pp. 454–461 

V.M. Krasnopolsky, 2006: “Reducing Uncertainties in Neural Network Jacobians and Improving Accuracy of Neural Network Emulations with NN Ensemble Approaches”, Proc., 2006 International Joint Conference on Neural Networks, Vancouver, BC, Canada, July 16-21, 2006, pp. 9337-9344, CD-ROM

V. Krasnopolsky, C. J. Lozano, D. Spindler, I. Rivin, and D.B. Rao, 2006: “Using Neural Network to Enhance Assimilating Sea Surface Height Data into an Ocean Model”, Proc., 2006 International Joint Conference on Neural Networks, Vancouver, BC, Canada, July 16-21, 2006, pp. 8732-8734, CD-ROM

M. S. Fox-Rabinovitz, V. Krasnopolsky, and A. Belochitski, 2006: “Ensemble of Neural Network Emulations for Climate Model Physics: The Impact on Climate Simulations”, Proc., 2006 International Joint Conference on Neural Networks, Vancouver, BC, Canada, July 16-21, 2006, pp. 9321-9326, CD-ROM

V.M. Krasnopolsky and M.S. Fox-Rabinovitz, 2006: "Cmplex Hybrid Models Combining Deterministic and Machine Learning Components for Numerical Climate Modeling and Weather Prediction", Neural Networks, 19, 122-134 

V. Cherkassky, V. Krasnopolsky, D.P. Solomatine, and J. Valdes, 2006: “Computational intelligence in earth sciences and environmental applications: Issues and challenges” , Neural Networks, 19, 113-121
V.M. Krasnopolsky and M.S. Fox-Rabinovitz, 2006: "A New Synergetic Paradigm in Environmental Numerical Modeling: Hybrid Models Combining Deterministic and Machine Learning Components", Ecological Modelling, v. 191, 5-18
 
V.M. Krasnopolsky, M.S. Fox-Rabinovitz, and D.V. Chalikov, 2005: "New Approach to Calculation of Atmospheric Model Physics: Accurate and Fast Neural Network Emulation of Long Wave Radiation in a Climate Model", Monthly Weather Review, v. 133, No. 5, 1370-1383
H. Tolman, V. M. Krasnopolsky, and D. Chalikov, 2005: “Neural Network Approximations for Nonlinear Interactions in Wind Wave Spectra: Direct Mapping for Wind Seas in Deep Water”, Ocean Modelling, v. 8, issue 3, 253-278

V.M. Krasnopolsky, M.S. Fox-Rabinovitz, and D.V. Chalikov, 2004: Using neural networks for fast and accurate approximation of the long wave radiation parameterization in the NCAR community atmospheric model: evaluation of computational performance and accuracy of approximation, Proc., 15th Symposium on Global Change and Climate Variations, 84th AMS Annual Meeting, Seattle, Washington, CD-ROM, P1.20

V.M. Krasnopolsky, M.S. Fox-Rabinovitz, and D.V. Chalikov, 2004: Fast and Accurate Approximation of the Long Wave Radiation Parameterization in a GCM Using Neural Networks: Evaluation of Computational Performance and Accuracy of Approximation in the NCAR CAM-2, Proc., CIMSA 2004 – IEEE International Conference on Computational Intelligence for Measurement Systems and Applications, Boston, MA, USA, 14-16 July 2004, pp. 57-62, CD-ROM

V. M. Krasnopolsky and H. Schiller, 2003: "Some Neural Network Applications in Environmental Sciences. Part I: Forward and Inverse Problems in Geophysical Remote Measurements", Neural Networks, v. 16, pp. 321-334

V. M. Krasnopolsky and F.  Chevallier, 2003: "Some Neural Network Applications in Environmental Sciences. Part II: Advancing Computational Efficiency of Environmental Numerical Models", Neural Networks, v. 16, pp. 335-348

V. M. Krasnopolsky and M. Fox-Rabinovitz, 2003: "Using adaptive learning techniques for fast and accurate approximation of physics in numerical models", Proceedings, CIMSA2003, IEEE International Symposium on Computational Intelligence for Measurement Systems and Applications, Lugano, Switzerland, 29-31 July, 2003, pp. 95-100

V. M. Krasnopolsky,  2003: "An intelligent NN system for quality controlled retrieving the wind speed from SSM/I measurements", Proceedings, Third Conference on Artificial Intelligence, AMS, Long Beach, CA, 9-13 February, 2003, JP1.17

V. M. Krasnopolsky, H. L. Tolman, and D. V. Chalikov, 2003,  "A combination of empirical orthogonal function and neural network approaches for parameterizing nonlinear interactions in wind wave models",
Proceedings, Third Conference on Artificial Intelligence, AMS, Long Beach, CA, 9-13  February, 2003, 3.10

V. M. Krasnopolsky, D. V. Chalikov, and H. L. Tolman, 2002: "A Neural Network Technique to Improve Computational Efficiency of Numerical Oceanic Models", Ocean Modelling, v. 4, 363-383

V.M. Krasnopolsky and F. Chevallier, 2001: "Some neural network applications in environmental sciences: Advancing computational efficiency of environmental numerical models", Technical Memorandum No. 359, European Centre for Medium-Range Weather Forecast

V.M. Krasnopolsky and W. H. Gemmill, 2001: "Using QuikSCAT Wind Vectors in Data Assimilation System", Technical Note, OMB Contribution No. 209, NOAA/NCEP/EMC

X. Li, W. Pichel, P. Clemente-Colon, V. Krasnopolsky, and J. Sapper, 2001: "Validation of Coastal Sea and Lake Surface Temperature Measurements Derived from NOAA/AVHRR Data", Int. J. Remote Sensing, v. 22. 1285-1303

V. M. Krasnopolsky, D. V. Chalikov, and H. L. Tolman, 2001: "Use of Neural Networks to Improve Computational Efficiency of Environmental Numerical Models", Technical Note, OMB Contribution No. 199, NOAA/NCEP/EMC

Krasnopolsky, V., D. Chalikov, and H. Tolman, 2000: A neural network approach to parametrizing nonlinear interactions in wind wave models, The Fourth International Symposium on Ocean Wave Measurement and Analysis, September 3-5, 2001,  San Francisco, California (submitted)

V.M. Krasnopolsky, D. Chalikov, L. C. Breaker, and D. Rao, 2000, Application of neural networks for efficient calculation of sea water density or salinity from the UNESCO equation of state.  Proceedings, Second Conference on Artificial Intelligence, AMS, Long Beach, CA, 9-14 January, 2000, pp. 27-30

V.M. Krasnopolsky and W.H. Gemmill,, 2000, Neural network multi-parameter algorithms to retrieve atmospheric and oceanic parameters from satellite data., Proceedings, Second Conference on Artificial Intelligence, AMS, Long Beach, CA, 9-14 January, 2000, pp. 73-76

Krasnopolsky, V.M. , W. H. Gemmill, and L. C. Breaker, 1998: A Neural Network Multi-Parameter Algorithm  SSM/I Ocean Retrievals: Comparisons and Validations ,Technical Note, OMB Contribution No. 159, NOAA/NCEP/EMC;  Remote Sensing of Environment,2000, Vol. 73, pp. 133-142

Breaker L.C., V.M. Krasnopolsky, and E.M. Maturi, 1998: GOES-8 Imagery as a New Source of  Data to Conduct Ocean Feature Tracing;   Remote Sensing of Environment, 2000, Vol. 73, pp. 198-206

Krasnopolsky, V.M., W.H. Gemmill, and L.C. Breaker, "A multi-parameter empirical ocean algorithm for SSM/I retrievals",Technical Note, OMB Contribution No. 154, NOAA/NCEP/EMC,1998, Canadian Journal of Remote Sensing,, Vol. 25, No. 5, pp. 486-503, 1999

Gemmill, W.H. and V.M. Krasnopolsky, " The Use of SSM/I Data in Operational Marine Analisis", 1999, Weather and Forecasting, Vol. 14, No.5, pp. 789-800

Chalikov D., L. C. Breaker, V. Krasnopolsky, and D. Rao. "Revisiting the Question of Assimilating Temperature alone into a Full Equation of State Ocean Model", Ocean Modeling, Issue 116, p. 13-14, 1998

Krasnopolsky, V.M. , W.H. Gemmill, and L.C. Breaker, "A neural network multi-parameter algorithm for SSM/I ocean retrievals: comparisons and validations", Proceedings of Fifth International Conference on Remote Sensing for Marine and Coastal Environment, San Diego, California, 5-7 October 1998, v. I, pp. 36-43

Xiaofeng Li, W. G. Pichel, P. Clemente-Colón, and V. Krasnopolsky, "Validation of Coastal Sea and Lake Surface Temperature Measurements Derived From NOAA/AVHRR Data", Proceedings of Fifth International Conference on Remote Sensing for Marine and Coastal Environment, San Diego, California, 5-7 October 1998, v. I, pp. 261-268

Breaker, L. C., V. M. Krasnopolsky, and E. M. Maturi, "GOES-8 imagery as a new source of data to conduct ocean feature tracking", Proceedings of Fifth International ConfReprint_Krasnopolsky_2007_NN.pdference on Remote Sensing for Marine and Coastal Environment, San Diego, California, 5-7 October 1998, v. I, pp. 501-508

Gemmill, W.H. and V.M. Krasnopolsky, "Weather patterns over the ocean retrieved by neural network multi-parameter algorithm from SSM/I", Proceedings of Fifth International Conference on Remote Sensing for Marine and Coastal Environment, San Diego, California, 5-7 October 1998, v. I, pp. 395-402

Krasnopolsky, V.M, "Neural networks as a generic tool for satellite retrieval algorithm development and for direct assimilation of satellite data into numerical models", Proceedings of the First Conference on Artificial Intelligence, Phoenix, Arizona, 11-16 January 1998, pp. 45 - 50, 1998

Krasnopolsky, V.M., "Neural networks for standard and variational retrievals of geophysical information in remote sensing", Proceedings of International Symposium on Spectral Sensing Research, San Diego, CA, December 3-19, 1997, 8 pp., 1998

Krasnopolsky, V. M., "A neural network-based forward model for direct assimilation of SSM/I brightness temperatures", Technical Note, OMB Contribution No. 140, NOAA/NCEP/EMC, January 1997.

Krasnopolsky, V.M., "A neural network forward model for direct assimilation of SSM/I brightness temperatures into atmospheric models", in Research Activities in Atmospheric and Oceanic Modeling , CAS/JSC Working Group on Numerical Experimentation, Report No. 25, WMO/TD-No. 792, pp. 1.29-1.30, January, 1997.

Krasnopolsky, V.M., W.H. Gemmill, and L.C. Breaker, "A new neural network transfer function for SSM/I retrievals", in Research Activities in Atmospheric and Oceanic Modeling, CAS/JSC Working Group on Numerical Experimentation, Report No. 25, WMO/TD-No. 792, pp. 2.16-2.17, January, 1997.

Krasnopolsky, V.M., W.H. Gemmill, and L.C. Breaker, "A new transfer function for SSM/I based on an expanded neural network architecture" , Technical Note, OMB Contribution No. 137, NOAA/NCEP/EMC, November 1996.

Krasnopolsky, V.M., William H. Gemmill, Laurence C. Breaker, and V. Yu. Raizer, "An SSM/I wind speed retrieval algorithm with improved performance at higher wind speeds". Technical Note, OMB Contribution No. 132, NOAA/NCEP/EMC, October 1996.

Gemmill, W.H., V. Krasnopolsky, L. Breaker, and C. Peters, "Developments to improve satellite derived ocean surface winds for use in marine analyses". Preprint 15-th Conference on Weather Analysis and Forecasting, August 19-23, 1996, Norfolk, VA, pp. 499-500,1996

Krasnopolsky, V.M., L.C. Breaker, and W.H. Gemmill, "Surface Winds from the SSM/I Using Neural Networks", Proceedings of 1996 International Geoscience and Remote Sensing Symposium IGARSS'96 , Lincoln, Nebraska 27-31 May, 1996, v.III, pp.1712-14

Krasnopolsky, V.M., W.H. Gemmill, and L.C. Breaker, "Improved SSM/I wind speed retrievals at higher wind speeds.", Technical Note, OMB Contribution No. 111, NOAA/NMC, October 1995.

Krasnopolsky, V., L. Breaker, "A rapid method for correcting earth location errors in sequential satellite imagery used to estimate ocean surface currents", Proceedings of the Third Thematic Conference in Remote Sensing for Marine and Coastal Environments, Seattle, Washington, USA, 18-20 September 1995, p. 573, 1995

Pichel, W.G. , P. Clemente-Colon, J.F. Sapper, C. Duda, and V.M. Krasnopolsky, "Validation and quality control of coastwatch satellite-derived water-surface-temperature imagery", Proceedings of the Third Thematic Conference in Remote Sensing for Marine and Coastal Environments , Seattle, Washington, USA, 18-20 September 1995, p. 83-94, 1995

Breaker, L.C., W.H. Gemmill, and V.M. Krasnopolsky, Surface Wind Speeds over the Ocean Inferred from Brightness Temperatures Acquired from the Special Sensor Microwave Imager (SSM/I)" , Backscatter, 1995, v. 6, No. 3, pp. 8,15

Krasnopolsky, V., L. Breaker, "Neural Network as a Tool for Empirical Solution of Inverse Problem in Remote Sensing." Proceed. Of World Congress on Neural Networks, Washington, D.C., July 17-21,1995, v. I, pp. 118-121

Krasnopolsky, V.M., L.C. Breaker, and W.H. Gemmill, "A Neural Network as a Nonlinear Transfer Function Model for Retrieving Surface Wind Speeds from the Special Sensor Microwave Imager.", J.Geophys.Res. , v. 100, No. C6, pp. 11,033-11,045, June, 1995

Krasnopolsky, V.M., L.C. Breaker, and W.H. Gemmill, "Neural Network as a Tool for Retrieving Meteorological and Oceanographic Information from Satellite Data.", in Resaerch Activities in Atmospheric and Oceanic Modeling, CAS/JSC Working Group on Numerical Experimentation, Report No. 21, WMO/TD-No.665, pp.1.20-1.21, February, 1995.

Alpert, J., V. Krasnopolsky, and B. Katz, "Correction of the bias in NMC Aviation Model Wind Forecast", in Resaerch Activities in Atmospheric and Oceanic Modeling, CAS/JSC Working Group on Numerical Experimentation, Report No. 21, WMO/TD-No.665, pp. 6.1-6.2, February, 1995.

Breaker, L.C., V.M. Krasnopolsky, D.B. Rao, and X.-H. Yan, "The Feasibility of Estimating Ocean Surface Currents on an Operational Basis Using Satellite Feature Tracking.", Bull. of AMS, v. 75, No. 11, pp.2085-2095, November, 1994

Krasnopolsky, V. and L. Breaker, "The Problem of Navigation of AVHRR Images Revisited.", Int. J. Remote Sensing, 1994, v.15, No.5, 979-1008

Krasnopolsky, V., L.Breaker, and W. Gemmill, "SSM/I Wind Retrievals Using a Neural Network", Proceed. of 1994 AGU Spring Meeting, Baltimore, May 23-27,1994, p.196

Krasnopolsky, V., L.Breaker, and W. Gemmill, "Development of s Single "All-Weather" Neural Network for Estimating Ocean Surface Winds from the Special Sensor Microwave Imager." Technical Note, OPC contribution No. 94, NOAA/NMC, June 1994

Breaker, L., D. Shenin, and V. Krasnopolsky, "Estimating the Surface Circulation off the East Coast Using Sequential AVHRR Satellite Imagery in Support of NOAA's Emerging Coastal Forecast System", Proceed. of 1994 AGU Spring Meeting, Baltimore, May 23-27, 1994, p.197

Krasnopolsky, V. and L. Breaker, "Multi-Lag Predictions for Time Series Generated by a Complex Physical System Using Neural Network Approach.", Proceed. of Fifth Workshop on Neural Networks: Academic/Industrial/NASA/Defense, WNN98/FNN93, San Francisco, November 7-10, 1993, pp. 339-344


Please send comments and questions to Vladimir Krasnopolsky vladimir.krasnopolsky@noaa.gov
Last changed 3 November 2005