References

  1. Jankov, I., S. Gregory, S. Ravela, Z. Toth, and M. Peña, "Partition of forecast error into positional and structural components", Advances in Atmospheric Sciences, vol. 38, no. 6: Science Press, pp. 1012–1019, 2021. 

  2. Feng, J., J. Zhang, Z. Toth, M. Peña, and S. Ravela, "A New Measure of Ensemble Central Tendency," Weather and Forecasting, vol. 35, pp. 879–889, 2020. 

  3. Ravela, S., "Tractable Non-Gaussian Representations in Dynamic Data Driven Coherent Fluid Mapping," Handbook of Dynamic Data Driven Applications Systems: Springer, Cham, pp. 29–46, 2018.

  4. Ravela, S.., "Dynamic Data Driven Deep Learning", DDDAS 17, Cambridge, MA, 08/2017.

  5. Ravela, S., "Dynamically Deformable Resampled Random Manifolds for High-dimensional, Nonlinear Inference in Geoscience in the presence of Uncertainty", AGU Fall Meeting Abstracts, 2016.

  6. Ravela, S.., "A Non-Parametric Framework for Inference Using Dynamically Deformed and Targeted Manifolds", SIAM AN 16, 07/2016.

  7. Ravela, S., "Statistical Inference for Coherent Fluids", Dynamic Data-Driven Environmental Systems Science: Springer International Publishing, pp. 121–133, 2015.

  8. Ravela, S., "Dynamic Data-driven Deformable Reduced Models for Coherent Fluids", Procedia Computer Science, vol. 51, pp. 2464 - 2473, 2015.

  9. Duyck, J., C. Finn, A. Hutcheon, P. Vera, J. Salas, and S. Ravela, "Sloop: A pattern retrieval engine for individual animal identification", Pattern Recognition, vol. 48, no. 4: Elsevier, pp. 1059–1073, 2015.

  10. Ravela, S., Generating a forecast by field coalescence, , 2015.

  11. Ravela, S., "Spatial inference for coherent geophysical fluids by appearance and geometry", Applications of Computer Vision (WACV), 2014 IEEE Winter Conference on: IEEE, pp. 925–932, 2014.

  12. S. Ravela, "Cooperative Autonomous Observation of Coherent Atmospheric Structures using Small Unmanned Aircraft Systems," American Geophysical Union  Fall Meeting Abstracts, A23B-3230, San Fransisco, December 2014

  13. S. Ravela, C. Yang, T. Langlois, W. Dupree and M. Wolfson Method and Apparatus for Generating a Forecast ImageUS Patent 8625840, Jan 2014 (Feb 2012, prov. Feb 2011)

  14. S. Ravela The Field Alignment System and Testbed (FAST v3.0), DTC Technical Report, 2013

  15. S. Ravela, I. Sleder and J. Salas Mapping Coherent Atmospheric Structures with Small Unmanned Aircraft Systems, Proc. Infotech@Aerospace, AIAA Guidance, Navigation, and Control and Co-located Conference, 2013

  16. S. Ravela Quantifying Uncertainty for Coherent Structures, Procedia Computer Science, Volume 9, 2012, pp. 1187-1196

  17. C. J. Seto and S. Ravela, Differential Image Analysis to Extract Subsurface Flow Dynamics From High Resolution Surface Deformation Measurements, American Geophysical Union, Fall Meeting 2010, June, 2010

  18. C. J. Seto and S. Ravela, Integration of Surface Deformation and Pattern Recognition for Monitoring Basin-Scale CO2 Sequestration, Gordon Conference on Flow and Transport in Permeable Media,, July, 2010

  19. C. Yang and S. Ravela, Deformation Invariant Image Matching by Spectral Control of Viscous Alignment, Proc. ICCV, pp. 1303-1310, 2009, Kyoto, Japan. 

  20.   Sai Ravela, Chris Yang, John William and Kerry Emanuel, An Objective Framework for Assimilating Coherent Structures, WMO Symposium on Nowcasting, 2009.

  21. S. Ravela, J. Williams and K. Emanuel, "The Joint Position-Amplitude Formulation for Hurricane State Estimation," American Geophysical Union Fall Meeting, A41G-0193, 2008

  22. J. Williams WRF-Var implementation for data assimilation experimentation at MIT SM Thesis, MIT, 2008. 

  23. S. Ravela, Two Extensions of Data Assimilation by Field Alignment, Proc. International Conference on Computational Science (ICCS 07), LNCS vol 4487, part 1, pp. 1147-1154, 2007.

  24. S. Ravela, K. Emanuel and D. McLaughlin, Data Assimilation by Field Alignment, Physica D, 230(1):127-145, 2007 (Available online, Nov. 2006)   

  25. S. Ravela Amplitude-Position formulation of Data Assimilation, Workshop on Dynamic Data Driven Application Systems, May 2006, Reading UK

  26. S. Ravela and V. Chatdarong, "Rainfall Advection Using Velocimetry by Multiresolution Viscous Alignment," ArXiv, physics/0604158, April 2006

  27. S. Ravela and V. Chatdarong, "How do we account for position errors in forecasts and observations in mesoscale data-assimilation?", Geophysical Research Abstracts, Vol. 8, EGU06-A-09557, Vienna, April 2006

  28. S. Ravela, K. Emanuel and D. McLaughlin, Multivariate Field Alignment for Data Assimilation, Second International Congress of the European Geosciences Union, 2004. 

  29. S. Ravela, K. Emanuel and D. McLaughlin, Data Assimilation by Field Alignment for Coherent Structures, 26th Hurricanes and Tropical Meteorology Conference, Miami, FL, 3 7 May 2004. 

  30. S. Ravela, K. Emanuel and D. McLaughlin, Data Assimilation by Field Alignment, Roger F. Daley Memorial Symposium, 28 Sept - 1 Oct, 2003, Montreal, Canada. 

  31. W. G. Lawson, S. Ravela, J. Hansen, K. Emanuel, and D. McLaughlin, "Data-Assimilation of Coherent Features: Accounting for Non-linearity from Displacement Errors," Ensemble Forecasting Workshop, Val-Morin, Canada, September 2003

  32. S. Ravela, W. G. Lawson, J. Hansen, K. Emanuel, and D. McLaughlin, "On Phase-based Data-Assimilation," General Assembly of the International Union of Geodesy and Geophysics, Sapporo, Japan, June 2003