海洋生态系统动力学；海洋生物地球化学循环与气候变化；海洋动力—生态—生物地球化学耦合模拟

海洋生物地球化学循环，数值模拟

   

博士：Texas A&M Unviersity, College Station (Oceanography)

本科：中国海洋大学 (海洋专业本硕连读)

中国科学院南海海洋研究所，研究员

加州理工学院喷气推进实验室(Caltech-NASA JPL), 博士后

1. Huang, Y., Feng, Y.*, Xue, H., Zheng, Y., Guo, X., Yang, Q., et al. (2026). Impact of typhoons Hato and Pakhar (2017) on particulate organic carbon transport in the Pearl River Estuary, China: A numerical study. Journal of Geophysical Research: Biogeosciences, 131, e2026JG009927. https://doi.org/10.1029/2026JG009927
2. Ma, K., Manizza, M., Liu, Y., Menemenlis, D., Tian, H., Zhang, K., Yang, Q., Liu, C., and Feng, Y.*, (2026), Recent Changes in Global Ocean N₂O Fluxes and Their Relationship to Ocean Climate Variability, Global Biogeochemical Cycles, https://doi.org/10.1029/2025GB008942
3. Meng, Z., Guan, Y.*, Feng, Y.* (2024) Simulating the impact of typhoons in air-sea CO₂ fluxes on the northern coastal area of the South China Sea, Environmental Research Letters, https://doi.org/10.1088/1748-9326/ad300e
4. Zheng, Y., Huang, J., Feng, Y.*, Xue, H., Xie, X., Tian, H., Yao, Y., Luo, L., Guo, X., Liu, Y. (2024) The effects of seasonal wind regimes on the Evolution of Hypoxia in Chesapeake Bay: Results from Terrestrial-Estuarine-Ocean Biogeochemical Modeling System, Progress in Oceanography, https://doi.org/10.1016/j.pocean.2024.103207
5. Feng, Y.*, Huang, J., Du, Y., Balaguru, K., Ma, W., Feng, Q., et al. (2022). Drivers of phytoplankton variability in and near the Pearl River Estuary, South China Sea during Typhoon Hato (2017): A numerical study. Journal of Geophysical Research: Biogeosciences, 127, e2022JG006924. https://doi.org/10.1029/2022JG006924
6. Feng, Y.*, D. Menemenlis, H. Xue, H. Zhang, D. Carroll, Y. Du, H. Wu (2021), Improved representation of river runoff in Estimating the Circulation and Climate of the Ocean Version 4 (ECCOv4) simulations: implementation, evaluation and impacts to coastal plume regions, Geoscientific Model Development, https://doi.org/10.5194/gmd-2020-321
7. Feng, Y*, DiMarco, S. F., Balaguru, K., & Xue, H. (2019). Seasonal and interannual variability of areal extent of the Gulf of Mexico hypoxia from a coupled physical‐biogeochemical model: A new implication for management practice. Journal of Geophysical Research: Biogeosciences, 124,1939–1960, https://doi.org/10.1029/2018JG004745
8. Feng, Y*, Friedrichs, M. A. M., Wilkin, J., Tian, H., Yang, Q., Hofmann, E. E., Wiggert, J. D., and Hood, R. R. (2015), Chesapeake Bay nitrogen fluxes derived from a land-estuarine ocean biogeochemical modeling system: Model description, evaluation, and nitrogen budgets, Journal of Geophysical Research: Biogeosciences, 120, 1666–1695, https://doi.org/10.1002/2015JG002931
9. Feng, Y*, Fennel, K., Jackson, G. A., DiMarco, S. F., Hetland, R. D. (2014), A model study of the response of hypoxia to upwelling-favorable wind on the northern Gulf of Mexico shelf, Journal of Marine System, 131, 63-73, https://doi.org/10.1016/j.jmarsys.2013.11.009
10. Feng, Y*, DiMarco, S. F. and Jackson,G. A. (2012), Relative role of wind forcing and riverine nutrient input on the extent of hypoxia in the northern Gulf of Mexico, Geophysical Research Letters, 39, L09601, https://doi.org/10.1029/2012GL051192

（1） 粤港澳大湾区海洋环境科学观测与应用, 科学出版社, 2024-10, 第 3 作者