吕国坤 - 上海交通大学

个人简介

吕国坤博士后, 教育背景 2006.09-2010.06, 理学学士，物理海洋学，中国海洋大学 2010.09-2013.06, 理学硕士，物理海洋学，中国海洋大学 2013.10-2017.12, 理学博士，物理海洋学，汉堡大学工作经历研究方向代表性论文专著工作经历 2013.07-2016.10 国家海洋预报中心 2017.12-2020.10，博后，汉堡大学

研究领域

海洋业务化预报；数据同化；地球模拟系统参数优化；海冰数据同化及再分析

近期论文

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[1] Lyu, G., Wang, H., Zhu, J. et al., Assimilating the along-track sea level anomaly into the regional ocean modeling system using the ensemble optimal interpolation. Acta Oceanologica Sinica, 33, 72–82 (2014). [2] Lyu, G., Köhl, A., Matei, I., & Stammer, D., Adjoint‐based climate model tuning: Application to the Planet Simulator. Journal of Advances in Modeling Earth Systems, 10, 207–222 (2018). [3] Lyu, G, Koehl, A, Serra, N, Stammer, D, Xie, J. Arctic ocean–sea ice reanalysis for the period 2007–2016 using the adjoint method. Q J R Meteorol Soc. 2021; 1908– 1929. https://doi.org/10.1002/qj.4002 [4] Lyu, G, Koehl, A, Serra, N, Stammer, D. Assessing the current and future Arctic Ocean observing system with observing system simulating experiments. Q J R Meteorol Soc. 2021; 147: 2670– 2690. https://doi.org/10.1002/qj.4044 [5] Lyu, G., Serra, N., Zhou, M., and Stammer, D.: Arctic sea level variability from high-resolution model simulations and implications for the Arctic observing system, Ocean Sci., 18, 51–66, https://doi.org/10.5194/os-18-51-2022, 2022. [6] Lyu, G., Koehl, A., Wu, X., Zhou, M., and Stammer, D.: Effects of including the adjoint sea ice rheology on estimating Arctic Ocean–sea ice state, Ocean Sci., 19, 305–319, https://doi.org/10.5194/os-19-305-2023, 2023.