CV

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Education

Academic Appointments

Peer-Reviewed Publications

(* denotes corresponding author)

  1. Zhuo J.-Y.*, Wenchang Yang, G. A. Vecchi, and Emma L. Levin, 2026: Tropical Cyclone Hazards in a Large-Ensemble AI Climate Emulator. In prep.
  2. Zhuo J.-Y.*, Wenchang Yang, and G. A. Vecchi, 2026: Global Tornado Trends and Related Impacts from Evolving Sea Surface Warming Patterns. In prep.
  3. Zhuo J.-Y.*, C. Lee, G. A. Vecchi, R. Seager, A. Sobel, and S. J. Camargo, 2026: Eastern Pacific Cooling due to Northern Hemisphere Aerosol Reduction, and the Role of Model Bias. Resubmitted.
  4. Zhuo J.-Y.*, Lorenzo M. Polvani, and G. A. Vecchi, 2026: Muted eastern Pacific cooling response to stratospheric ozone depletion linked to double-ITCZ bias. Under review.
  5. Zhuo J.-Y.*, C. Lee, A. Sobel, S. J. Camargo and A. Vecchi, 2026: Impact of Sea Surface Temperature Trend Biases on Tropical Cyclone Activity and Hazard. GRL, Accepted.
  6. Jones, K., Zhuo J.-Y.* (corresponding), S. J. Camargo, K. I. Hodges, S. S. Bell, and S. S. Chand, 2026: Re-examining Historical Trends of Tropical Cyclone Frequency. GRL, 53, e2026GL122083.
  7. X. Zhang*, Zhuo J.-Y., S. Guo, K. Zhu, and Z.-M. Tan, 2026: Integrating Diurnal Pulsing Signatures for AI-Driven Tropical Cyclone Intensity Prediction. GRL, 53, e2025GL119496.
  8. Liu Y., J.-Y. Zhuo, K. Chu*, and Z.-M. Tan, 2026: Detection of eye occurrence in sequential satellite infrared imagery and its application to improve deep learning-based tropical cyclone intensity estimation. JGR: Machine Learning and Computation, 3, e2025JH000816.
  9. Brizuela, N. G.*, C.-Y. Lee, A. Sobel, R. Seager, S. J. Camargo, and J.-Y. Zhuo, 2025: Tropical Thermocline Powers Pacific Equatorial Upwelling. J. Phys. Oceanogr., 55, 2349–2361.
  10. Zhuo, J.-Y.*, C. Lee, A. Sobel, R. Seager, S. J. Camargo, Y. Lin, B. Fosu, and K. A. Reed, 2025: A More La Niña–Like Response to Radiative Forcing after Flux Adjustment in CESM2. J. Climate, 38, 1037–1050.
  11. Lin, J.*, C. Lee, S. J. Camargo, A. Sobel, J.-Y. Zhuo, 2025: The response of tropical cyclone hazard to natural and forced patterns of warming. npj Clim Atmos Sci, 8, 109.
  12. Duong, Q.-P.*, A. Wimmers, D. Herndon, Z.-M. Tan, J.-Y. Zhuo, J. Knaff, I. A. Abdulsalam, T. Horinouchi, R. Miyata, and A. Avenas, 2023: Objective satellite methods including AI algorithms reviewed for the tenth International Workshop on Tropical Cyclones (ITWC-10). Tropical Cyclone Research and Review, 12(4), 259–266.
  13. Zhuo, J.-Y.*, and Z.-M. Tan, 2023: A Deep-Learning Reconstruction of Tropical Cyclone Size Metrics 1981–2017: Examining Trends. J. Climate, 36, 5103–5123.
  14. Zhuo, J.-Y.*, and Z.-M. Tan, 2021: Physics-Augmented Deep Learning to Improve Tropical Cyclone Intensity and Size Estimation from Satellite Imagery. Mon. Wea. Rev., 149, 2097–2113. Adopted operationally by the China National Satellite Meteorological Center; cited 100+ times.

Presentations (recent 3 years’ invited & oral talks)

Mentoring

Honors and Awards

Professional & Community Service