符偉偉

二級教授/博士生導師

wwfu@fudan.edu.cn

研究興趣

研究領域為海洋生物地球化學🩰、海洋資料同化及學科交叉領域，研究方向包括海洋碳循環、海洋營養鹽循環的模擬，海洋中的逆方法，大氣海洋過程對海洋生態系統的影響等。在Science🚵🏻‍♂️🧑‍🧑‍🧒‍🧒、Nature及其他海洋權威雜誌發表論文30多篇👮🏽‍♀️，主持過多個歐盟框架研究項目🔜👨‍👩‍👧‍👦、歐洲空間中心研究項目🐫，美國能源部項目💁、自然科學基金項目等。最近的研究內容包括🧎🏻‍♂️‍➡️：1）發現南大洋（Southern Ocean）在氣候變暖背景下存在一個新的正反饋機製（Science科學亮點）；2）揭示了氣候持續增暖背景下熱帶海洋溶解氧含量降低趨勢的反轉機理（Nature科學亮點）；3）作為核心開發者和協調人🙆🏽，建立了國際海洋模式基準評估系統 並被IPCC第六次評估報告采用🧋。

教育背景

博士學位（2006年），氣象學，中國科學院大氣物理研究所

碩士學位（2004年）🥘，氣象學🤶🏼，中國科學院大氣物理研究所

學士學位（2000年），大氣科學🧒🏽，北京大學地球物理系

研究經歷

2023年 — 至今，特聘教授/博士生導師，沐鸣2

2014年 — 2023年，助理研究員、副研究員、研究員，加州大學爾灣分校地球系統科學系

2009年 — 2014年🧒🏽，研究員，丹麥氣象局海洋與海冰中心

2007年 — 2009年，副研究員，中國科學院大氣物理研究所

2006年 — 2007年，助理研究員，中國科學院大氣物理研究所

承擔課題

美國能源部🧛🏿，Improving the initial state of biogeochemical components in Earth System Models，2020-01至2023-09🕷⛓️‍💥，899,438$🈲，已結題，共同主持

美國能源部，Reducing Uncertainty In Biogeochemical Interactions Through Synthesis And Computation (RUBISCO) Scientific Focus Area (SFA)，2016-01至 2019-10，1,870,246$😥，結題，主要參加

歐洲空間中心⛏，eSurge: satellite data for storm surge community，2011-01至 2015-12，2,103,640€，結題𓀛，子課題主持

歐盟第六框架項目，A Joint European Research Infrastructure network for coastal observatories (JERICO)，2011-01至 2014-12，8,870,000€💅🏻，結題，子課題主持

國家自然科學基金委員會，面上項目👩🏿‍🍼，41176014海洋"集合最優插值"同化方法中的樣本問題研究，2012-01至 2015-12⛽️⚠，63萬元📎😌，已結題🧑🏿‍🎓，主持

國家自然科學基金委員會，面上項目（青年）🕷，40706010，利用集合同化評估當前全球主要海洋觀測系統在大尺度海洋狀態估計中的效果，2008-01至2010-12🛻，340萬元，已結題👐🏽，主持

教學經歷

2021年，《Catastrophe》，研究生，加州大學爾灣分校地球系統科學系

2022年，《Climate change》👨‍🏫，本科生，加州大學爾灣分校地球系統科學系

學術兼職

2021年— 至今🥇，《Atmosphere》，編委

2021年— 2023，《Frontier in Marine Sciences》，編委

2017-至今，IPCC第六次評估報告貢獻作者（contributing author）

國家自然科學基金委員會，評審專家

美國國家海洋和大氣局專項項目會評專家

獲獎情況

2008年🤴🏿⛈，全國優秀博士論文提名

2007年，中國科學院50篇優秀博士論文

2006年🚽，中國科學院院長優秀獎

2006年，第六屆“ 學篤風正”優秀博士學位論文獎

2004年，第五屆“ 學篤風正”碩士生優秀論文獎

發表論文

（本人名稱加粗🦵🏿🧔🏽‍♂️，通訊作者加*號）

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.

其它情況

本課題組長期招收博士後，每年招收1-2名碩士和博士研究生👨🏼‍🔬。歡迎物理海洋學🚨、氣象學🙍🏿、海洋生物地球化學、計算機等及相關專業背景的同學報考本課題組的碩士和博士研究生。

#以上信息由本人提供，更新時間：2023/10/26