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个人信息Personal Information
教师拼音名称:mengdeming
所在单位:大气科学学院
学历:博士研究生毕业
办公地点:气象楼723
性别:男
学位:理学博士学位
在职信息:在岗
毕业院校:南京信息工程大学
学科:气象学
- 基本信息
- 个人简介
- 近期主要论著
- 近期科研项目
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姓 名: 孟德明
国 籍: 中国
性 别: 男
导 师: 陈耀登教授,李俊研究员,谈哲敏院士
最高学历: 博士
所属专业: 气象学
毕业院校: 南京信息工程大学
研究方向: 气象资料同化、人工智能资料同化、中小尺度天气数值模拟与机理分析
办公地点: 气象楼 723室
邮 箱: mengdm@nuist.edu.cn
主要研究领域:
云雨区卫星资料同化关键技术研发
多源气象卫星观测资料协同同化方案研究
基于人工智能的资料同化方法研究
中小尺度天气过程数值模拟及其机理诊断分析
教育背景:
2011年9月-2015年6月 南京信息工程大学 大气科学学院 大气科学专业 本科
2015年9月-2021年6月 南京信息工程大学 大气科学学院 气象学专业 博士研究生
2019年1月-2021年1月 美国威斯康星大学麦迪逊分校SSEC/CIMSS 国家公派联培博士
工作经历:
2021年8月-2024年10月 南京大学 大气科学学院 博士后
2024年11月-至今 南京信息工程大学 大气科学学院 教师
学术兼职:
《Journal of Geophysical Research: Atmospheres》, 《Journal of Advances in Modeling Earth Systems》,《Advances in Atmospheric Sciences》, 《Remote Sensing》,《气象学报》, 《中国科学:地球科学》等期刊审稿人
荣誉奖励:
2025年 中国气象局2025年度科技成果评价结果优秀一等 (13/14)
2022年 首届中国气象学会大气科学优秀博士论文
2022年 首批江苏省卓越博士后计划
ResearchGate:https://www.researchgate.net/profile/Deming-Meng-3
ORCID:https://orcid.org/0000-0001-5534-5207
期刊论文:
2025年:
Yang, W., Chen, Y., Meng, D.*, Xie, Y., Chen, M., Fan, S., et al. (2025). The Channel‐Correlated Error Covariance Matrix for FY‐4B GIIRS and Its Application in the CMA‐BJ v2.0 Assimilation and Forecast System. Geophysical Research Letters, 52(17), e2025GL117181. https://doi.org/10.1029/2025GL117181
Xia, P., Meng, D.*, Min, M.*, Li J., Liu Y., Yang X., and Xu N., (2025). Impacts of Fengyun‐4B Satellite Rapid Imaging‐Derived Atmospheric Motion Vectors on Typhoon Forecasts. Journal of Geophysical Research: Atmospheres, 130, e2025JD044269, https://doi.org/10.1029/2025JD044269
Chen, Y., Yang, Q., Qin, L., Wang, Y., Meng, D., & Yan, X. (2025). Impact of Skin Temperature Control Variable on the Assimilation of Microwave Temperature-sounding Channels in Regional Numerical Weather Prediction. Advances in Atmospheric Sciences, 42(3), 564–578. https://doi.org/10.1007/s00376-024-4070-5
2024年:
Meng, D., Tan, Z., Li, J., Ma, Z., & Chen, Y. (2024). Added Value of Three‐Dimensional Horizontal Winds From Geostationary Interferometric Infrared Sounder for Typhoon Forecast in a Regional NWP Model. Journal of Geophysical Research: Atmospheres, 129(6), e2024JD040736. https://doi.org/10.1029/2024JD040736
Qin, L., Chen, Y., Meng, D., Cheng, X., & Zhang, P. (2024). Variational all-sky assimilation framework for MWHS-II with hydrometeors control variables and its impacts on analysis and forecast of typhoon cases. Journal of Advances in Modeling Earth Systems, 16(10), e2023MS004153. https://doi.org/10.1029/2023MS004153
Chen, Y., Zheng, H., Sun, T., Meng, D., Qin, L., and Yin, J., (2024). Improving forecasts of the “21.7” Henan extreme rainfall event using a radar assimilation scheme that considers hydrometeor background error covariance. Monthly Weather Review, 152 (6), 1379–1397. https://doi.org/10.1175/MWR-D-23-0190.1
Yang, Q., Chen, Y., Qin, L., Wang, Y., Meng, D., Yan, X., & Qian, X. (2024). Construction and characteristic analysis of background error covariance coupled with land surface temperature. Atmospheric and Oceanic Science Letters, 100512. https://doi.org/10.1016/j.aosl.2024.100512
2023年:
Zheng, H., Chen, Y., Zheng, S., Meng, D., & Sun, T. (2023). Radar reflectivity assimilation based on hydrometeor control variables and its impact on short-term precipitation forecasting. Remote Sensing, 15(3), 672. https://doi.org/10.3390/rs15030672
2022年:
Meng, D., Chen, Y., Li, J., Tan, Z., Wang, P., Jung‐Rim Lee, et al. (2022). The Potential Value of Combining Assimilation of Water Vapor Radiances and Cloud Liquid/Ice Water Path From ABI on Analyses and Forecasts for Hurricane Irma (2017). Journal of Geophysical Research: Atmospheres, 127(19), e2022JD036910. https://doi.org/10.1029/2022JD036910
Qin, L., Chen, Y., Ma, G., Weng, F., Meng, D., & Zhang, P. (2022). Assimilation of FY-3D MWTS-II radiance with 3D precipitation detection and the impacts on typhoon forecasts. Advances in Atmospheric Sciences. 40, 900–919 (2023). https://doi.org/10.1007/s00376-022-1252-x
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,80 (2), 243-256. https://doi.org/10.11676/qxxb2022.011
2021年:
Meng, D., Chen, Y., Li, J., Wang, H., Wang, Y., & Sun, T. (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-20-0419.1
Meng, 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), e2020JD034164. https://doi.org/10.1029/2020JD034164
Sun, 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
2020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.2020.104980
Chen, Y., Shen, J., Fan, S., Meng, D., & Wang, C. (2020). Characteristics of Fengyun-4A satellite atmospheric motion vectors and their impacts on data assimilation. Advances in Atmospheric Sciences, 37(11), 1222–1238. https://doi.org/10.1007/s00376-020-0080-0
Sun, T., Chen, Y., Sun, J., Wang, H., Chen, H., Wang, Y., & Meng, D. (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(5), 2063–2085. https://doi.org/10.1175/MWR-D-19-0203.1
2019年及以前
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.2018.12.017
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
卢长浩, 陈耀登, 孟德明, (2019). 两种动力控制变量对比分析及其对台风同化和预报的影响. 大气科学学报, 42(6), 916-925. https://doi.org/10.13878/j.cnki.dqkxxb.20171018001
授权发明专利:
孟德明, 陈耀登, 王元兵, 李昕, 基于机器学习的流依赖背景场误差协方差动态调整方法. 国内发明专利. CN119782722B. 授权日期: 2025年5月9日
陈耀登, 孟德明, 王元兵, 高玉芳, 孙涛, 陈海琴, 一种基于雨区分类技术的自适应分区同化方法. 国内发明专利. CN110110922B. 授权日期: 2023年6月6日.
陈耀登, 孟德明, 王元兵, 高玉芳, 孙涛, 陈海琴, 一种基于云量分类的水凝物背景场误差协方差构建方法. 国内发明专利. CN110472648B. 授权日期: 2023年5月12日.
国际会议报告:
Meng, D., Wang, P., & Li, J. The Impact of Assimilating Cloud Information from ABI on Hurricane with Different Microphysics Schemes. 100th AMS Annual Meeting, January 2020, Boston, USA.
Meng, D., Chen, Y., Li, J., & Tan, Z.-M. The Potential Value of Combining Assimilation of Water Vapor Radiances and Cloud Liquid/Ice Water Path from ABI on Analyses and Forecasts for Hurricane Irma (2017). Asia Oceania Geosciences Society, August 2022, Online, Singapore.
Meng, D., Tan, Z.-M., Li, J., Ma, Z., & Chen, Y. Synergistic Assimilation of Cloud and Dynamical Information Based on Cloud-Dependent Background Error Covariance. 9th International Symposium on Data Assimilation, October 2023, Bologna, Italy.
Meng, D., Tan, Z.-M., Li, J., Ma, Z., & Chen, Y. Added Value of Three-Dimensional Horizontal Winds from Geostationary Interferometric Infrared Sounder for Typhoon Forecast in a Regional NWP Model. Asia Oceania Geosciences Society, June 2024, Pyeongchang, South Korea.
Meng, D., Chen, Y., Li, J., & Wang, Y. A Piecewise Assimilation Method for Geostationary Satellite Imagery All-sky Assimilation. Asia Oceania Geosciences Society, July 2025, Singapore.
近期科研项目:
在研项目:
2023-2025:国家自然科学基金青年科学基金项目,“台风发生发展过程中静止卫星成像仪云雨区同化研究”,项目负责人;
2023-2025:国家重点研发计划青年科学家项目,“风云四号卫星资料同化在强对流天气预报中的关键技术研发”,课题负责人;
2022-2026:国家自然科学基金重大项目,“台风发生发展理论与精细预报技术研究”,骨干。
已结题项目:
2021-2024:中国博士后科学基金面上资助项目,“静止卫星云雨区自适应分区同化对台风微物理过程和强度演变的影响”,项目负责人

