研究员

冯洋

  • 方  向:热带海洋动力过程的环境效应
  • 行政职务:
  • 学科专业:海洋生物地球化学循环数值模拟
  • 导  师:博士导师、硕士导师
  • 办公电话:(020)32640337
  • 电子邮箱:yfeng@sciso.ac.cn
  • 通讯地址:广州市海珠区新港西路164号中国科学院南海海洋研究所2号楼1401
研究方向

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.

个人简介

冯洋研究员博士就读于美国德州农工大学,大学城分校(Texas A&M University, College Station)。曾在美国加州理工学院(Caltech)下属的美国宇航局喷气推进实验室从事博士后研究。目前是中国科学院2019年BRJH 项目入选者。主要从事物理-生地化耦合数值模型的开发与应用。曾参与 Texas A&M University, Virginia Institute of Marine Science 在美国墨西哥湾(近海)及柴桑比克湾(河口)区域模型研发。参与开发的模式被用于上述区域缺氧、碳循环、氮循环等问题的研究中。曾在两次受到陆海统筹项目(Land-Ocean-Aquatic-Continuum)资助开区域及全球陆海一体化模式,为美国东北部大湾区开发陆海生集成模式 (DLEM-ChesROMS-ECB)。后加入美国宇航局喷气推进实验室,参与全球高分辨率海洋数据同化系统 Estimating the Circulation & Climate of the Ocean (ECCO) 数据同化产品研发。

教育经历

本科:中国海洋大学(海洋学科强化班,本硕连读)
硕士:中国海洋大学 (导师: 王伟、黄瑞新)
博士:美国Texas A&M University, College Station (导师: George A. Jackson;Steven F. DiMarco)

工作经历

研究员:中国科学院南海海洋研究所
博士后:NASA-Jet Propulsion Laboratory, Caltech

近期代表性论文

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, doi:10.5194/gmd-2020-321 (IF 5.768).
孟钊、李宁、管玉平、冯洋(2020), 南海与周边表层塑料颗粒交换的拉格朗日示踪研究,热带海洋学报, 39(5), doi:10.11978/2019118 (IF 0.768)
Zhang, W., J. M. Moriarty, H. Wu, Y. Feng (2021), Response of bottom hypoxia off the Changjiang River Estuary to multiple factors: A numerical study, Ocean Modelling,159,101751, doi:10.1016/j.ocemod.2021.101751 (IF3.22)
Feng, Y., S. F. DiMarco, K. Balaguru, H. Xue (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, doi:10.1029/ 2018JG004745 (IF 3.41)
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, doi:10.1002/2015JG002931 (IF 3.41)
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 Systems, 131, 63-73, doi:10.1016/j.jmarsys.2013.11.009 (IF 2.53)
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, doi:10.1029/2012GL051192 (IF 4.50)
Fennel, K, R. Hetland, and Y. Feng and S. F. DiMarco (2011), A coupled physicalbiological model of the northern Gulf of Mexico shelf: Model description, validation and analysis of phytoplankton variability. Biogeosciences, 8, 1881-1899, doi:10.5194/bg-8-1881-201 (IF 4.19)
Feng, Y., W. Wang, and R. X. Huang, (2006), Meso-scale available gravitational potential energy in the world oceans, Acta Oceanologica Sinica, 25,1-13 (IF 1.19) 

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获得专利情况

孟钊,冯洋,周巍,彭世球,杜岩 2020:珠江口生源要素模拟系统V1.0,软件著作权,2020SR1515872
孟钊, 冯洋, 李娟, 蔡树群, 杜岩 2020: 粤港澳大湾区生态环境模拟数据可视化系统 V1.0, 软件著作权, 2020SR1788570

专著

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