个人简介：
学历：博士 职称：讲师
籍贯：黑龙江 Email: yanglc@cnu.edu.cn
研究方向：空气质量数值模拟；非线性优化算法；极端降水的模拟与预估
教育工作经历：
2023.08 - 至今威尼斯9499登录入口，资源环境与旅游学院，讲师
2020.06 - 2023.07 中科院大气物理研究所，LASG国家重点实验室，博士后
2014.09 - 2020.01 北京大学，物理学院大气与海洋科学系，理学博士
2018.03 - 2019.03 德国汉堡大学，地球可持续发展中心，联合培养博士
2010.09 - 2014.07 北京师范大学，物理学系，理学学士
科研项目：
2022.01 - 2024.12 中国降水变率的长程记忆性及其在小时极端降水模拟中的应用 （国家自然科学基金青年项目 主持）
2024.01-2028.12 非线性耦合快速增长初始扰动及其在印-太高影响海气环境事件集合预报研究中的应用（国家自然科学基金重点项目 科研骨干）
2022.01-2022.12 低层大气物理、化学和地气交换过程及预测调控基础研究调研与战略分析 （国家自然科学基金委战略研究类项目 科研骨干）
科研论文（通讯作者*）：
1. Yang, L., Duan, W., & Wang, Z. (2023). An approach to refining the ground meteorological observation stations for improving PM2.5 forecasts in Beijing-Tianjin-Hebei region. Geoscientific Model Development, 16, 3827–3848.
2. Yang, L., Duan, W., Wang, Z., & Yang, W. (2022). Toward targeted observations of the meteorological initial state for improving the PM2.5 forecast of a heavy haze event that occurred in the Beijing-Tianjin-Hebei region. Atmospheric Chemistry and Physics, 22, 11429–11453.
3. Yang, L., Franzke, C., & Duan, W. (2023). Evaluation and Projections of Extreme Precipitation using a Spatial Extremes Framework. International Journal of Climatology, 130(1-2), 535-544.
4. Duan, W., Yang, L.*, Mu, M., Wang, B., Shen, X., Meng, Z. & Ding, R. (2023). Recent advances in China on the predictability of weather and climate. Advances in Atmospheric Science, 40(8), 1521-1547.
5. Duan, W., Yang, L.*, Xu, Z., & Chen, J.. (2023). Conditional nonlinear optimal perturbation: applications to ensemble forecasting of high-impact weather systems. In Numerical Weather Prediction: East Asian Perspectives. Springer Atmospheric Sciences, in press. （专著章节）
6. Duan, W., Feng, R., Yang, L. *, & Jiang, L.. (2022). A new approach to data assimilation for numerical weather forecasting and climate prediction. Journal of Applied Analysis and Computation,12(3), 1007-1021.
7. Yang, L., Franzke. C., & Fu, Z. (2020). Evaluation of the Ability of Regional Climate Models and a Statistical Model to Represent the Spatial Characteristics of Extreme Precipitation. International Journal of Climatology, 40, 6612–6628.
8. Yang, L., Franzke. C., & Fu, Z. (2020). Power-Law behavior of hourly precipitation intensity and dry spell duration over the United States. International Journal of Climatology, 40, 2429-2444.
9. Yang, L., & Fu, Z. (2019). Process-dependent persistence in precipitation records. Physica A: Statistical Mechanics and its Applications, 121459.
10. Yang, L., & Fu, Z. (2017). Out-phased decadal precipitation regime shift in China and the United States. Theoretical and Applied Climatology, 130(1-2), 535-544.
11. Huang, Y., Yang, L., & Fu, Z.(2020). Reconstructing Coupled Time Series in Climate Systems by Machine Learning. Earth System Dynamics, 11, 835-853.
12. Chai, W., Huang, Y., Yang, L., Quan, H., & Fu, Z. (2022) Evaluation of re-analyses over China based on the temporal asymmetry of daily temperature variability. Theoretical and Applied Climatology, 147, 753-765.
13. Christian, F., Susana, B ... Yang, L., & Yuan, N. (2020) The Structure of Climate Variability Across Scales. Reviews of Geophysics, 58, e2019RG000657.
