Publications

Publications

Jones, K., J.-Y. Zhuo, and S. J. Camargo, 2025: Examining Historical Tropical Cyclone Frequency Trends Using Reanalysis Datasets. In prep.

Liu, S., J.-Y. Zhuo, I. Baxter, and J. Butler, 2025: Does AI weather forecasts show flow dependency?. In prep.

Zhuo, J.-Y., C. Lee, G. A. Vecchi, R. Seager, A. Sobel, and S. J. Camargo, 2025: Eastern Pacific cooling due to Northern Hemisphere aerosol reduction, and the role of model bias. Under review.

Liu, Y., K. Chu, J.-Y. Zhuo, and Z.-M. Tan, 2025: Using evolution of eye to improve deep learning tropical cyclone intensity estimates. Under review.

Brizuela, N. G., C.-Y. Lee, A. Sobel, R. Seager, S. J. Camargo, and J.-Y. Zhuo, 2025: Tropical thermocline powers Pacific equatorial upwelling. Under review. [Article]

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. [Article]

Lin, J., C. Lee, S. J. Camargo, A. Sobel, and J.-Y. Zhuo, 2025: The response of tropical cyclone hazard to natural and forced patterns of warming. npj Clim Atmos Sci, 8, 109.[Article]

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 (IWTC-10). Tropical Cyclone Research and Review, 12(4), 259–266. [Article]

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. [Article]

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. [Article] This study has been adopted operationally by the China National Satellite Meteorological Center.