Rui Zhang

Zhang, R., O. Asselin, D. Paquin, R.J. Barthelmie, and S.C. Pryor, 2026: Projected changes in extreme windstorms and high-wind cyclone tracks across model resolutions. npj Climate and Atmospheric Science, https://doi.org/10.1038/s41612-026-01526-1.

Zhang, R., and E.K.M. Chang, 2025: Using finite amplitude wave activity to examine the impact of latent heating on baroclinic wave activity. Journal of the Atmospheric Sciences, 82, 1929-1951.

Zhang, R., E.K.M. Chang, and N. Nakamura, 2025: Wave packets and life cycles of troughs in the framework of local finite-amplitude wave activity. Journal of the Atmospheric Sciences, 82, 789-808.

Zhang, R., and E.K.M. Chang, 2025: Local finite-amplitude wave activity of water vapor as a diagnostic of atmospheric river events. Geophysical Research Letters, 52(8), e2024GL114314.

Chang, E.K.M., A.M.W. Yau, and R. Zhang, 2022: Finding storm track activity metrics that are highly correlated with weather impacts. Part II: Estimating precipitation change associated with projected storm track change over Europe. Journal of Climate, 35, 2423-2440.

Ma, C., E.K.M. Chang, S. Wong, R. Zhang, M. Zhang, and A. Del Genio, 2020: Impacts of storm track variations on wintertime extreme precipitation and moisture budgets over the Ohio Valley and Northwestern United States. Journal of Climate, 33, 5371-5391.

Grotjahn, R., and R. Zhang, 2017: Synoptic analysis of cold air outbreaks over the California Central Valley. Journal of Climate, 30, 9417-9433.

Duan, W.S., R. Zhang, Y.S. Yu, and B. Tian, 2013: The role of nonlinearities associated with air-sea coupling processes in El Niño's peak-phase locking. Science China Earth Sciences, 56, 1988-1996.

Mu, M., W.S. Duan, Q. Wang, and R. Zhang, 2010: An extension of conditional nonlinear optimal perturbation approach and its applications. Nonlinear Processes in Geophysics, 17, 211-220.

Duan, W.S., and R. Zhang, 2010: Is model parameter error related to a significant spring predictability barrier for El Niño events? Results from a theoretical model. Advances in Atmospheric Sciences, 27(5), 1003-1013.