我们课题组 (海洋碳及生物地球化学循环模拟组) 的主要研究方向是物理-生物地球化学耦合模式的开发与应用,特别是基于Regional Ocean Modelling System (ROMS) 和 M.I.T General Circulation Model (MITgcm) 模式体系下生化模块的开发与改进。这些先进的国际模式被应用于理解近海及全球海洋动力过程对生态及生物地球化学要素的影响过程研究。目前我们课题组利用从海湾、近海到全球的一系列模式来进行缺氧、氮循环及碳循环的研究。鉴于全球气候变化对全球经济及我们生活质量的影响,耦合模式技术为经济可持续发展提供科学决策依据。 My research interest and expertise are the development of coupled ocean circulation-biogeochemistry model. I am familiar with community numerical modeling system, including the Regional Ocean Modeling System (ROMS) and M.I.T General Circulation Model (MITgcm). These modeling systems are advanced tools for our understanding how marine ecosystems, biogeochemical cycling like carbon, nitrogen and oxygen are affected by ocean dynamic processes. In my working group (OC&B Modeling), we are using a suite of models ranging from estuarine, coastal to global scale for hypoxia, nitrogen, and carbon cycle studies. Given the global climate change concerning on global economy and our quality of life, coupled modelling technique are powerful tools for sustainable development policy making.
冯洋博士主要从事物理-生地化耦合数值模型的开发与应用。曾参与美国墨西哥湾北部陆架海及柴桑比克湾河口生化模型研发及全球高分辨率海洋数据同化系统 Estimating the Circulation & Climate of the Ocean (ECCO) 产品研发。2019年入职中国科学院南海海洋研究所。
本硕连读:中国海洋大学(海洋学科强化班,导师: 王伟、黄瑞新)海洋学
博士: Texas A&M University, College Station (导师: George A. Jackson;Steven F. DiMarco) 海洋学
硕士:University of California, Los Angeles,金融工程
研究员:中国科学院南海海洋研究所
博士后:NASA-Jet Propulsion Laboratory, Caltech
ESG投融资助理:Los Angeles Capital
1. 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/10.3389/fmars.2023.1096435
2. Zheng, Y., Huang, J., Feng, Y.*, Xue, H., Xie, X., Tian, H., Yao, Y., Luo, L., Guo, X., Y. Liu (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
3. Luo, L., Meng, Z., Ma, W., Huang, J., Zheng Y., Feng, Y.*, Li, Y., Liu, Y., Huang, Y. and Zhu, Y. (2023). The second-generation real-time ecological environment prediction system for the Guangdong–Hong Kong–Marco Greater Bay Area: Model setup, validation, improvements, and online visualization. Frontier in Marine Science. https://doi.org/10.3389/fmars.2023.1096435
4. Feng, Q., Chen, L.*, Yang, L., Haw, Y., Wang, R., Wu, F., Feng, Y., Raj, C., Engel, B. A., Omani, N., Oikonomou, P. D., Zia, A. (2023) A distributed model parameter optimization toolbox performing multisite calibration in the lump and distributed mode for the SWAT model. Environmental Modeling and Software. https://doi.org/10.1016/j.envsoft.2023.105785
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. Qiu, S., Feng, Y., Zhang, Y., Qi, D., Wu, Y., & Du, Y.*. (2021). A surface pCO2 increasing hiatus in the equatorial Pacific Ocean since 2010. Geophysical Research Letters, 48, e2021GL093612. https://doi.org/10.1029/2021GL093612
7. 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
8. Zhang, W. X., J. M. Moriarty, H. Wu*, and Y. Feng. (2021). Response of bottom hypoxia off the Changjiang River Estuary to multiple factors: A numerical study. Ocean Modelling. 159: 13. https://doi.org/10.1016/j.ocemod.2021.101751
9. 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
10. Feng, Y.*, M. A. M. Friedrichs, J. Wilkin, H. Tian, Q. Yang, E. E. Hofmann, J. D. Wiggert, and R. R. Hood (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.
11. Feng, Y.*, K. Fennel, G. A. Jackson, S. F. DiMarco, R. D. Hetland (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
12. Feng, Y.*, S. F. DiMarco, and G. A. Jackson (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.
13. Fennel, K*, R. Hetland, and Y. Feng and S. F. DiMarco (2011), A coupled physical-biological model of the northern Gulf of Mexico shelf: Model description, validation and analysis of phytoplankton variability. Biogeosciences, 8, 1881-1899, https://doi.org/10.5194/bg-8-1881-201.
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1.孟钊, 冯洋*, 杜岩, 冯青郁, 马伟伟, 周巍, 彭世球, 经志友, 蔡树群, 万修全, 一种生态安全预警系统,中国,发明专利,CN113033865A,2023-03-29(已授权)。
2.孟钊,冯洋*,李娟,蔡树群,杜岩;粤港澳大湾区生态环境模拟数据可视化系统,2020-09-30,中国,2020SR1788570(软件著作权)
3.孟钊,冯洋*,周巍,彭世球,杜岩;基于陆海模式的珠江口生源要素模拟数据显示系统,2020-08-03,中国,2020SR1515872(软件著作权)
4.李劲尤, 孟钊, 冯洋, 罗琳 , 2021: 粤港澳大湾区陆海模式校检系统V1.0, 软件著作权, 2021SR1736500。(软件著作权)
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