符伟伟
二级教授/博士生导师
wwfu@fudan.edu.cn
研究兴趣
研究领域为海洋生物地球化学、海洋资料同化及学科交叉领域，研究方向包括海洋碳循环、海洋营养盐循环的模拟，海洋中的逆方法，大气海洋过程对海洋生态系统的影响等。在Science、Nature及其他海洋权威杂志发表论文30多篇，主持过多个欧盟框架研究项目、欧洲空间中心研究项目，美国能源部项目、自然科学基金项目等。最近的研究内容包括：1）发现南大洋（Southern Ocean）在气候变暖背景下存在一个新的正反馈机制（Science科学亮点）；2）揭示了气候持续增暖背景下热带海洋溶解氧含量降低趋势的反转机理（Nature科学亮点）；3）作为核心开发者和协调人，建立了国际海洋模式基准评估系统 并被IPCC第六次评估报告采用。
教育背景
博士学位（2006年），气象学，中国科学院大气物理研究所
硕士学位（2004年），气象学，中国科学院大气物理研究所
学士学位（2000年），大气科学，北京大学地球物理系
研究经历
2023年 — 至今，特聘教授/博士生导师，复旦大学大气与海洋科学系
2014年 — 2023年，助理研究员、副研究员、研究员，加州大学尔湾分校地球系统科学系
2009年 — 2014年，研究员，丹麦气象局海洋与海冰中心
2007年 — 2009年，副研究员，中国科学院大气物理研究所
2006年 — 2007年，助理研究员，中国科学院大气物理研究所
承担课题
美国能源部，Improving the initial state of biogeochemical components in Earth System Models，2020-01至2023-09，899,438$，已结题，共同主持
美国能源部，Reducing Uncertainty In Biogeochemical Interactions Through Synthesis And Computation (RUBISCO) Scientific Focus Area (SFA)，2016-01至 2019-10，1,870,246$，结题，主要参加
欧洲空间中心，eSurge: satellite data for storm surge community，2011-01至 2015-12，2,103,640€，结题，子课题主持
欧盟第六框架项目，A Joint European Research Infrastructure network for coastal observatories (JERICO)，2011-01至 2014-12，8,870,000€，结题，子课题主持
国家自然科学基金委员会，面上项目，41176014海洋"集合最优插值"同化方法中的样本问题研究，2012-01至 2015-12，63万元，已结题，主持
国家自然科学基金委员会，面上项目（青年），40706010，利用集合同化评估当前全球主要海洋观测系统在大尺度海洋状态估计中的效果，2008-01至2010-12，340万元，已结题，主持
教学经历
2021年，《Catastrophe》，研究生，加州大学尔湾分校地球系统科学系
2022年，《Climate change》，本科生，加州大学尔湾分校地球系统科学系
学术兼职
2021年— 至今，《Atmosphere》，编委
2021年— 2023，《Frontier in Marine Sciences》，编委
2017-至今，IPCC第六次评估报告贡献作者（contributing author）
国家自然科学基金委员会，评审专家
美国国家海洋和大气局专项项目会评专家
获奖情况
2008年，全国优秀博士论文提名
2007年，中国科学院50篇优秀博士论文
2006年，中国科学院院长优秀奖
2006年，第六届“ 学笃风正”优秀博士学位论文奖
2004年，第五届“ 学笃风正”硕士生优秀论文奖
发表论文
（本人名称加粗，通讯作者加*号）
Wang, W-L.*, Fu, W. W., Frédéric Le Moigne , Robert Letscher , Yi Liu , Jin-Ming Tang , François Primeau*, 2023: Biological carbon pump estimate based on multi-decadal hydrographic data. Nature, (in print)
Fu, W. W.* and O. Tsuneo, 2023: Editorial: Oxygen decline in coastal waters: its cause, present situation and future projection. Front. Mar. Sci., Volume 10, https://doi.org/10.3389/fmars.2023.1316092
Fu, W. W*., and W. L. Wang, 2022: Biogeochemical Equilibrium Responses to Maximal Productivity in High Nutrient Low Chlorophyll Regions. J Geophys Res-Biogeo, 127.
Fu, W. W*., J. K. Moore, F. Primeau, N. Collier, O. O. Ogunro, F. M. Hoffman, and J. T. Randerson, 2022: Evaluation of Ocean Biogeochemistry and Carbon Cycling in CMIP Earth System Models With the International Ocean Model Benchmarking (IOMB) Software System. J Geophys Res-Oceans, 127.
Fu, W. W*., J. K. Moore, F. W. Primeau, K. Lindsay, and J. T. Randerson, 2020: A Growing Freshwater Lens in the Arctic Ocean With Sustained Climate Warming Disrupts Marine Ecosystem Function. J Geophys Res-Biogeo, 125.
Martiny, A. C., M. W. Lomas, W. Fu, P. W. Boyd, Y. L. Chen, G. A. Cutter, 2019: Biogeochemical controls of surface ocean phosphate. Sci Adv, 5, eaax0341.
Moore, J. K*., Fu, W. W.* and Coauthors, 2018: Sustained climate warming drives declining marine biological productivity. Science, 359, 1139-1143. (highlighted by Science)
Liu, Y., and W. W. Fu, 2018: Assimilating high-resolution sea surface temperature data improves the ocean forecast potential in the Baltic Sea. Ocean Sci, 14, 525-541.
Fu, W. W.*, F. Primeau, J. K. Moore, K. Lindsay, and J. T. Randerson, 2018: Reversal of Increasing Tropical Ocean Hypoxia Trends With Sustained Climate Warming. Global Biogeochem Cy, 32, 551-564. (highlighted by Nature)
Fu, W. W.*, A. Bardin, and F. Primeau, 2018: Tracing ventilation source of tropical pacific oxygen minimum zones with an adjoint global ocean transport model. Deep-Sea Res Pt I, 139, 95-103.
Fu, W. W., 2018: Linkage between multi-model uncertainties and the role of ocean heat content in ocean carbon uptake. Ocean Dynam, 68, 1311-1319.
Fu, W. W., and F. Primeau, 2017: Application of a fast Newton-Krylov solver for equilibrium simulations of phosphorus and oxygen. Ocean Model, 119, 35-44.
Fu, W. W.*, J. T. Randerson, and J. K. Moore, 2016: Climate change impacts on net primary production (NPP) and export production (EP) regulated by increasing stratification and phytoplankton community structure in the CMIP5 models. Biogeosciences, 13, 5151-5170.
Fu, W. W., 2016: On the Role of Temperature and Salinity Data Assimilation to Constrain a Coupled Physical-Biogeochemical Model in the Baltic Sea. J Phys Oceanogr, 46, 713-729.
Randerson, J. T., Lindsay, K., E. Munoz, W. Fu and Coauthors, 2015: Multicentury changes in ocean and land contributions to the climate-carbon feedback. Global Biogeochem Cy, 29, 744-759. (highlighted by Nature)
Madsen, K. S., J. L. Hoyer, W. W. Fu, and C. Donlon, 2015: Blending of satellite and tide gauge sea level observations and its assimilation in a storm surge model of the North Sea and Baltic Sea. J Geophys Res-Oceans, 120, 6405-6418.
Fu, W. W., 2013: Estimating the volume and salt transports during a major inflow event in the Baltic Sea with the reanalysis of the hydrography based on 3DVAR. J Geophys Res-Oceans, 118, 3103-3113.
Fu, W. W., 2012: Altimetric data assimilation by EnOI and 3DVAR in a tropical pacific model: Impact on the simulation of variability. Adv Atmos Sci, 29, 823-837.
Fu, W.*, J. She, and M. Dobrynin, 2012: A 20-year reanalysis experiment in the Baltic Sea using three-dimensional variational (3DVAR) method. Ocean Sci, 8, 827-844.
Zhuang, S. Y., W. W. Fu*, and J. She, 2011: A pre-operational three Dimensional variational data assimilation system in the North/Baltic Sea. Ocean Sci, 7, 771-781.
Fu, W. W.*, and J. Zhu, 2011: Effects of Sea Level Data Assimilation by Ensemble Optimal Interpolation and 3D Variational Data Assimilation on the Simulation of Variability in a Tropical Pacific Model. J Atmos Ocean Tech, 28, 1624-1640.
Fu, W. W.*, J. She, and S. Y. Zhuang, 2011: Application of an Ensemble Optimal Interpolation in a North/Baltic Sea model: Assimilating temperature and salinity profiles. Ocean Model, 40, 227-245.
Fu, W.*, J. L. Hoyer, and J. She, 2011: Assessment of the three dimensional temperature and salinity observational networks in the Baltic Sea and North Sea. Ocean Sci, 7, 75-90.
Liu, Y., J. Zhu, J. She, S. Y. Zhuang, W. W. Fu, and J. D. Gao, 2009: Assimilating temperature and salinity profile observations using an anisotropic recursive filter in a coastal ocean model. Ocean Model, 30, 75-87.
Fu, W. W.*, J. Zhu, C. X. Yan, and H. L. Liu, 2009: Toward a global ocean data assimilation system based on ensemble optimum interpolation: altimetry data assimilation experiment. Ocean Dynam, 59, 587-602.
Fu, W. W.*, J. Zhu, and C. X. Yan, 2009: A comparison between 3DVAR and EnOI techniques for satellite altimetry data assimilation. Ocean Model, 26, 206-216.
Fu, W. W*., and G. Q. Zhou, 2007: Improved ENSO simulation in regional coupled GCM using regressive correction method. Sci China Ser D, 50, 1258-1265.
Zhu, J., G. Q. Zhou, C. X. Yan, W. W. Fu, and X. B. You, 2006: A three-dimensional variational ocean data assimilation system: Scheme and preliminary results. Sci China Ser D, 49, 1212-1222.
Fu, W. W.*, G. Q. Zhou, and J. Wang, 2006: Modeling the tropical Pacific Ocean using a regional coupled climate model. Adv Atmos Sci, 23, 625-638.
Zhou, G. Q., W. W. Fu, J. Zhu, and H. J. Wang, 2004: The impact of location-dependent correlation scales in ocean data assimilation. Geophys Res Lett, 31, L21306.
Fu, W. W., G. Q. Zhou, and H. J. Wang, 2004: Ocean data assimilation with background error covariance derived from OGCM outputs. Adv Atmos Sci, 21, 181-192.
其它情况
本课题组长期招收博士后，每年招收1-2名硕士和博士研究生。欢迎物理海洋学、气象学、海洋生物地球化学、计算机等及相关专业背景的同学报考本课题组的硕士和博士研究生。
#以上信息由本人提供，更新时间：2023/10/26
