物理海洋学

李德磊,德国汉堡大学博士,中国科学院海洋研究所副研究员,中科院青促会会员,硕士生导师。201610月至今在中国科学院海洋研究所工作,历任博士后、助理研究员、副研究员、“汇泉青年学者”特聘研究员。曾任汉堡大学博士生联合导师(2017-2019),现为SCI期刊PLOS ONE编辑,是Journal of Climate, Climate DynamicsQuarterly Journal of the Royal Meteorological Society等国际权威期刊的审稿人。

个人学术主页:https://www.researchgate.net/profile/Delei_Li2

一、研究领域     

重大海洋-气象灾害特征、机理及对气候变化响应:研究极端事件尤其是复合型事件多尺度变化特征机制及在气候变化背景下的响应。

--气耦合模拟和风浪能源评估;高分辨率海--气耦合模式及评估;气候变化背景下风能和波浪能资源评估及预估。

气候变化检测归因:探究人为驱动和自然变率对气候长期变化及极端事件(如极端高温、降雨)的影响和贡献。

二、招生专业及方向

物理海洋学:海洋波动与环境预测

气象学:海洋气象

三、研究室及联系方式

中国科学院海洋环流与波动重点实验室,邮箱:deleili@qdio.ac.cn,电话:0532-82898839。欢迎具有物理海洋/气象/数学等专业背景的同学报考。

四、承担的主要科研项目

1)国家自然基金面上项目,中国近海极端海浪的降尺度集合预估及其不确定性分析,2022-2025,在研,主持

2)中国科学院青年创新促进会会员,2022-2025,在研,主持

3)中国科学院海洋所汇泉青年学者项目,2019-2022,在研,主持

4)国家重点研发计划政府间合作重点专项子任务,气候变化背景下中日海域间典型渔业资源的输运过程及演变趋势,2022-2024,在研,主持

5)中科院先导B专项子课题,印太交汇区关键水动力过程及其生态效应的精细化数值模拟,2020-2024,在研,联合主持

6)国家重点研发专项子课题,高分辨率海洋模式关键物理过程参数化方案的研发,2017-2022,结题,主持

7)国家自然基金青年基金,全球变暖背景下渤黄海波候未来变化及其响应机理,2018-2020,结题,主持

8)中国博士后科学基金第十批特别资助,2017-2019,结题,主持

9)中国博士后科学基金第61批面上资助,2017-2019,结题,主持

五、研究成果及奖励

探究模式误差机理,改进模式模拟能力,揭示极端气候多尺度变化,是认知气候系统、防灾减灾及应对气候变化的关键,也是国家战略的重大需求。截止目前在相关领域共发表SCI论文38篇,其中第一作者SCI论文13篇,通讯作者1篇。近年来主要研究成果包括:诊断了高分辨率模式增值及误差机理;引入了提升台风模拟能力的新方案;厘清了低空急流、复合型极端风雨事件等多尺度变化及机制;揭示了中国近海极端风浪及风能的未来预估变化及不确定性。主持研发的数据产品被广泛用于干旱、风暴潮、巨浪等海洋气象灾害研究,获得较大影响。

六、代表性论文及著作

(1)Li, D., Chen, Y., Messmer, M., Zhu, Y., Feng, J., Yin. B., & Bevacqua, E., (2022). Compound wind and precipitation extremes across the Indo-Pacific: climatology, variability and drivers. Geophys. Res. Lett., 49, e2022GL098594. 

(2)Li, D., Feng, J., Zhu, Y., Staneva, J., Qi, J., Behrens, A., Lee, D., Min, S-K., & Yin, B., (2022). Dynamical Projections of the Mean and Extreme Wave Climate in the Bohai Sea, Yellow Sea and East China Sea. Front. Mar. Sci. 9:844113.

(3)Li, D., Staneva, J., Bidlot, J-R., Grayek, S., Zhu, Y., & Yin, B., (2021). Improving Regional Model Skills During Typhoon Events: A Case Study for Super Typhoon Lingling Over the Northwest Pacific Ocean. Front. Mar. Sci. 8:613913.

(4)Li, D., Feng, J., Dosio, A., Qi, J., Xu, Z., & Yin, B., (2020). Historical Evaluation and Future Projections of 100m Wind Energy Potentials Over CORDEXEast Asia. Journal of Geophysical Research: Atmospheres, 125(15), e2020JD032874.

(5)Li, D., Staneva, J., Grayek, S., Behrens, A., Feng, J., & Yin, B., (2020). Skill Assessment of an Atmosphere–Wave Regional Coupled Model over the East China Sea with a Focus on Typhoons. Atmosphere, 11(3), 252.

(6)Li, D., Feng, J., Xu, Z., Yin, B., Shi, H., & Qi, J., (2019). Statistical Bias Correction for Simulated Wind Speeds Over CORDEX‐East Asia. Earth and Space Science, 6(2), 200-211.

(7)Li, D., von Storch, H., Yin, B., Xu, Z., Qi, J., Wei, W. and Guo, D., (2018). Low‐level jets over the Bohai Sea and Yellow Sea: climatology, variability and the relationship with regional atmospheric circulations. Journal of Geophysical Research: Atmospheres. (5)

(8)Li, D., Yin, B., Feng, J., Dosio, A., Geyer, B., Qi, J., Shi, H. and Xu, Z., (2018). Present Climate Evaluation and Added Value Analysis of Dynamically Downscaled Simulations of CORDEX—East Asia. Journal of Applied Meteorology and Climatology, 57(10), pp.2317-2341.

(9)Li, D., (2017). Added value of high‐resolution regional climate model: selected cases over the Bohai Sea and the Yellow Sea areas. International Journal of Climatology, 37(1), pp.169-179.

(10)Li, D., von STORCH, H. & Geyer, B., (2016). Testing reanalyses in constraining dynamical downscaling. Journal of the Meteorological Society of Japan. Ser. II, 94, pp.47-68.

(11)Li, D., von Storch, H. & Geyer, B., (2016). High‐resolution wind hindcast over the Bohai Sea and the Yellow Sea in East Asia: Evaluation and wind climatology analysis. Journal of Geophysical Research: Atmospheres, 121(1), pp.111-129. 

(12)Li, D., Geyer, B. & Bisling, P., (2016). A model-based climatology analysis of wind power resources at 100-m height over the Bohai Sea and the Yellow Sea. Applied energy, 179, pp.575-589.

(13)Li, D., Chen, X. & Liu, A., (2011). On the generation and evolution of internal solitary waves in the northwestern South China Sea. Ocean Modelling, 40(2), pp.105-119.

(14)Feng, J., Li, D.*, Li, Y., Liu, Q. & Wang, A., (2018). Storm surge variation along the coast of the Bohai Sea. Scientific reports, 8(1), p.11309.

(15)Li, R. K., Li, D., Nanding, N., et al., (2021). Anthropogenic Influences on Heavy Precipitation during the 2019 Extremely Wet Rainy Season in Southern China. Bulletin of the American Meteorological Society, 102(1), S103-S109.

(16)Zhu, Y. C., Zhang, R. H., Li, D., & Chen, D. K. (2021). The Thermocline Biases in the Tropical North Pacific and Their Attributions. Journal of Climate, 34(5), 1635-1648.

(17)Zhu, Qi, J., Du, Y., Chi, J., Yi, L., Li, D., & Yin, B. (2022). Impacts of El Nino on the South China Sea surface salinity as seen from satellites. Environmental Research Letters, 17(5). doi:ARTN 054040

(18)Y., Zhang, R.-H., Moum, J. N., Wang, F., Li, X., & Li, D., (2022). Physics-informed deep learning parameterization of ocean vertical mixing improves climate simulations. National Science Review.