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Bhupendra A Raut

Computational Environmental Scientist

Environmental monitoring through edge computing, atmospheric data analysis and innovative sensing technologies.

Biography

My research focuses on improving atmospheric observations and data analysis by leveraging statistics, computer vision, artificial intelligence, and edge computing.
I am involved in the U.S. Department of Energy’s (DOE) Atmospheric Radiation Measurement (ARM) program and the Chicago micro-net for the DOE’s CROCUS Urban Integrated Field Laboratory, contributing to observational campaigns and assisting the value-added products. Additionally, I participate in Stanford University’s EARNEST (An Equitable, Affordable & Resilient Nationwide Energy System Transition) project and contribute to open-source atmospheric data analysis packages (PyART, TINT, and tobac).
Previously, my research on atmospheric convection, cloud microphysics, and climate change in Australia and India led to the development of a convective-stratiform classification scheme, storm tracking algorithms, and a model for downscaling design-storm rainfall to suburban scales.

Education

  • Ph.D. & M.Sc. in Atmospheric and Space Sciences, University of Pune, India.
  • B.Sc. J. B. College of Science, Wardha, India.

Selected Publications

  1. Raut, B. A., et al. (2023). Optimizing cloud motion estimation on the edge with phase correlation and optical flow. Atmos. Meas. Tech., 16, 1195–1209.
  2. Raut, B. A. et al. (2021). Microphysical origin of raindrop size distributions during the Indian monsoon. Geophys. Res. Lett., 48(16).
  3. Raut, B. A., Jackson R., Picel M., Collis S., Bergemann M. & Jakob C. (2021). A tracking algorithm for convection in simulated and remote sensing data. J. Appl. Meteorol. Clim., 60(4), 513-526.
  4. Raut, B. A., Louf V., Gayatri K., Murugavel P., Konwar M. & Prabha T. (2020). A Multi-resolution technique for the classification of precipitation echoes in radar data. IEEE Trans. Geosci. Remote Sens., 58(8), 5409-5415.
  5. Raut, B. A., Reeder, M. J., Jakob, C. & Seed, A. W.(2019). Stochastic space-time downscaling of rainfall using event-based multiplicative cascade simulations. J. Geophys. Res., 124, 3889-3902.
  6. Raut, B. A., Seed, A. W., Reeder, M. J., & Jakob, C. (2018). A multiplicative cascade model for high‐resolution space‐time downscaling of rainfall. J. Geophys. Res., 123, 2050-2067.
  7. Raut, B. A., Reeder, M. J., & Jakob, C. (2017). Trends in CMIP5 rainfall patterns over southwestern Australia. J. Climate, 30(5), 1779-1788.
  8. Raut, B. A., Jakob, C., & Reeder, M. J. (2014). Rainfall changes over southwestern Australia and their relationship to the Southern Annular Mode and ENSO. J. Climate, 27(15), 5801-5814.