孟德明
近期热点
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个人简历
博士后教育经历 2015 - 2021\t南京信息工程大学,气象学,获博士学位 2011 - 2015\t南京信息工程大学,大气科学,获学士学位工作经历 2021 - 至今\t南京大学大气科学学院,博士后 2019 - 2021\t威斯康星大学空间科学与工程中心,访问学者研究领域
云区卫星资料同化,台风和降水数值模拟""近期论文
2021年:Meng, D., Chen, Y., Li, J., Wang, H., et al. (2021). Cloud-dependent piecewise assimilation based on a hydrometeor-included background error covariance and its impact on regional Numerical Weather Prediction. Monthly Weather Review, 149(9), 3155-3171. https://doi.org/10.1175/MWR-D-20-0419.1Meng, D., Wang, P., Li, J.*, Li, J., Chen, Y.*, Wangzong, S., et al. (2021). New Observation Operators for Cloud Liquid/Ice Water Path From ABI and Their Impact on Assimilation and Hurricane Forecasts. Journal of Geophysical Research: Atmospheres, 126(10). https://doi.org/10.1029/2020JD034164Sun, T., Chen, Y.*,Meng, D., & Chen, H. (2021). Background Error Covariance Statistics of Hydrometeor Control Variables Based on Gaussian Transform. Advances in Atmospheric Sciences, 38(5), 831–844. https://doi.org/10.1007/s00376-021-0271-3陈娴雅, 陈耀登, 孟德明. 2022. 基于云依赖背景场误差协方差的雷达资料同化及对降雨预报影响研究. 气象学报. DOI:10.11676/qxxb2022.0112020年:Chen, Y.*, Guo, S., Meng, D., Wang, H., Xu, D., Wang, Y., & Wang, J. (2020). The impact of optimal selected historical forecasting samples on hybrid ensemble-variational data assimilation. Atmospheric Research, 242, 104980. https://doi.org/10.1016/j.atmosres.2020.104980Sun, T., Y. Chen*, J. Sun, H. Wang, H. Chen, Y. Wang, & D. Meng, 2020: A Multi-Time-Scale Four-Dimensional Variational Data Assimilation Scheme and Its Application to Simulated Radial Velocity and Reflectivity Data. Monthly Weather Review, 148, 2063–2085. https://doi.org/10.1175/MWR-D-19-0203.1Chen, Y.*, J. Shen, S. Fan, D. Meng, & C. Wang, 2020: Characteristics of Fengyun-4A Satellite Atmospheric Motion Vectors and Their Impacts on Data Assimilation. Adv. Atmos. Sci., 37, 1222–1238. https://doi.org/10.1007/s00376-020-0080-02019年:Meng, D., Chen, Y.*, Wang, H., Gao, Y., Potthast, R., & Wang, Y. (2019). The evaluation of EnVar method including hydrometeors analysis variables for assimilating cloud liquid/ice water path on prediction of rainfall events. Atmospheric Research, 219, 1–12. https://doi.org/10.1016/j.atmosres.2018.12.0172016年:Chen, Y.*, Zhang, R., Meng, D., Min, J., & Zhang, L. (2016). Variational assimilation of satellite cloud water/ice path and microphysics scheme sensitivity to the assimilation of a rainfall case. Advances in Atmospheric Sciences, 33(10), 1158–1170. https://doi.org/10.1007/s00376-016-6004-3 相关热点
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