研究員
我們課題組 (海洋碳及生物地球化學(xué)循環(huán)模擬組) 的主要研究方向是物理－生物地球化學(xué)耦合模式的開(kāi)發(fā)與應用，特別是基于Regional Ocean Modelling System (ROMS) 和 M.I.T General Circulation Model (MITgcm) 模式體系下生化模塊的開(kāi)發(fā)與改進(jìn)。這些先進(jìn)的國際模式被應用于理解近海及全球海洋動(dòng)力過(guò)程對生態(tài)及生物地球化學(xué)要素的影響過(guò)程研究。目前我們課題組利用從海灣、近海到全球的一系列模式來(lái)進(jìn)行缺氧、氮循環(huán)及碳循環(huán)的研究。鑒于全球氣候變化對全球經(jīng)濟及我們生活質(zhì)量的影響，耦合模式技術(shù)為經(jīng)濟可持續發(fā)展提供科學(xué)決策依據。 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.
馮洋博士主要從事物理-生地化耦合數值模型的開(kāi)發(fā)與應用。曾參與美國墨西哥灣北部陸架海及柴桑比克灣河口生化模型研發(fā)及全球高分辨率海洋數據同化系統 Estimating the Circulation & Climate of the Ocean (ECCO) 產(chǎn)品研發(fā)。2019年入職中國科學(xué)院南海海洋研究所。
本碩連讀：中國海洋大學(xué)（海洋學(xué)科強化班，導師: 王偉、黃瑞新）海洋學(xué)
博士： Texas A&M University, College Station (導師: George A. Jackson；Steven F. DiMarco) 海洋學(xué)
碩士：University of California, Los Angeles，金融工程
研究員：中國科學(xué)院南海海洋研究所
博士后：NASA-Jet Propulsion Laboratory, Caltech
ESG投融資助理：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.孟釗, 馮洋*, 杜巖, 馮青郁, 馬偉偉, 周巍, 彭世球, 經(jīng)志友, 蔡樹(shù)群, 萬(wàn)修全, 一種生態(tài)安全預警系統，中國，發(fā)明專(zhuān)利，CN113033865A，2023-03-29（已授權）。
2.孟釗，馮洋*，李娟，蔡樹(shù)群，杜巖；粵港澳大灣區生態(tài)環(huán)境模擬數據可視化系統，2020-09-30，中國，2020SR1788570（軟件著(zhù)作權）
3.孟釗，馮洋*，周巍，彭世球，杜巖；基于陸海模式的珠江口生源要素模擬數據顯示系統，2020-08-03，中國，2020SR1515872（軟件著(zhù)作權）
4.李勁尤, 孟釗, 馮洋, 羅琳 , 2021: 粵港澳大灣區陸海模式校檢系統V1.0, 軟件著(zhù)作權, 2021SR1736500。（軟件著(zhù)作權）
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