路明月

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Lu Mingyue,  male,  Professor, School of Geographical Sciences, Nanjing University of Information Science and Technology; Doctor of Science in Cartography and Geographic Information System, Nanjing Normal University; Postdoctoral fellow of the Key Laboratory of Meteorological Disasters of the Ministry of Education; Postdoctoral fellow, NSF Collaborative Innovation Center (STC) for Spatiotemporal Computing, George Mason University, United States. He is mainly engaged in research in the fields of 3D GIS and spatio-temporal data model, virtual geographic environment, intelligent identification and prediction of meteorological disasters. He has presided over 2 projects of the National Natural Science Foundation of China, 1 special project of the meteorological industry of the Ministry of Science and Technology of the People's Republic of China, and presided over a number of horizontal projects entrusted by enterprises; Participated in a number of national, provincial and ministerial major research projects. Based on the real-time detection data, a four-dimensional spatio-temporal data model system was successfully constructed, a three-dimensional digital real-world twin and multi-dimensional dynamic visual simulation analysis of weather processes were realized, and the first real-time three-dimensional real-world three-dimensional monitoring and analysis system for severe convective weather processes in China was developed, which has been applied in many meteorological departments. At the same time, a series of models for intelligent identification and prediction of meteorological disasters have been constructed based on the four-dimensional spatio-temporal data field, and the relevant business systems developed have provided meteorological security for departments in the fields of electric power, hazardous chemicals, airports, and large-scale events. At present, he has published more than 40 academic papers, including more than 20 first/corresponding authors; More than 20 domestic and foreign invention patents have been authorized, including 15 invention patents authorized by the first/communication inventor, and a number of copyrights have been approved. He has won the first prize of China Meteorological Science and Technology Progress Award, the first prize of Guangxi Science and Technology Progress Award, the third prize of China Electric Power Innovation Award and other provincial and ministerial awards.


Especially, Welcome  students  with backgrounds in computer science, mathematics, or those who are interested in computer programming to join my research team!


1、Education Experience

Ø 2004/09 - 2007/06: Ph.D. in Cartography and Geographic Information System, Nanjing Normal University

Ø 2001/09 - 2004/06: Master’s in Engineering, School of Energy, China University of Mining and Technology

Ø 1997/09 - 2001/06: Bachelor’s in Engineering, School of Energy, China University of Mining and Technology

2、Work Experience

Ø 2022/01 - 2022/06: Visiting Researcher, Nanjing Aerospace Macro Information Technology Co., Ltd.

Ø 2016/06 - 2018/06: Postdoctoral Researcher, George Mason University, USA

Ø 2014/09 - 2015/09:Visiting Researcher, Meteorological Detection Center, China Meteorological Administration

Ø 2012/09 - 2014/06: Postdoctoral Fellow, Atmospheric Science Postdoctoral Research Station, Nanjing University of Information Science and Technology

Ø 2010/10 - 2011/03: Visiting Scholar, George Mason University, USA

Ø 2007/06 - Present: Lecturer, Associate Professor, Professor, School of Geographic Sciences / School of Remote Sensing, Nanjing University of Information Science and Technology

3、Research Areas

1.3D GIS and Spatiotemporal Data Modeling

2.Virtual Geographic Environments

3.Digital Twins of Hazardous Weather Processes

4.Intelligent Identification and Prediction of Meteorological Disasters


4、Projects

1.National Natural Science Foundation General Project: Spatiotemporal Data Model Research for Simulation and Analysis of Thunderstorm Processes, Principal Investigator

2.National Natural Science Foundation Youth Project: 3D Spatial Modeling and Visualization of Meteorological Information, Principal Investigator

3.National Natural Science Foundation General Project: Location Information Mining and Recommendation Methods for Big Data, Core Researcher

4.National Natural Science Foundation General Project: Spatiotemporal Evolution Characteristics of Climate Disasters during the Ming and Qing Dynasties in China, Core Researcher

5.Public Welfare Industry Research Special Project: Visualization System for Atmospheric Electric Field Intensity Distribution of Thunderstorm Clouds, Principal Investigator

6.China Meteorological Administration Commissioned Project: Comprehensive Analysis Technology Project for Aviation Hazardous Weather and Hail, Principal Investigator

7.3D Visualization Monitoring and Pre-disaster Precision Service Platform for Storms, Principal Investigator

8.Corporate Commissioned Project: Construction of Jiaxing Lightning Monitoring and Early Warning Platform, Principal Investigator

9.Corporate Commissioned Project: Construction of Guizhou Lightning Monitoring and Early Warning Platform, Principal Investigator

10.Corporate Commissioned Project: Construction of Thunderstorm Early Warning System Platform for Transmission Lines in Guangxi Power Grid, Core Researcher

  

5、Authorized patents

1.Mingyue Lu et al., Lightning Strike Area Recognition Method and System Based on Radar Product Data, 2024

2.Mingyue Lu et al., Method for Quickly Obtaining Three-Dimensional Iso-Surface of Radar Reflectivity Data, Netherlands, 2023

3.Yadong Zhang; Mingyue Lu (#) et al., Method for Quickly Obtaining Vector Graphic Data of Radar Composite Reflectivity, 2023

4.Mingyue Lu (#) et al., Method for Quickly Obtaining Three-Dimensional Iso-Surfaces of Radar Reflectivity Data, 2022

5.Mingyue Lu (#) et al., Method for Quickly Obtaining Contour Data of Radar Composite Reflectivity, 2022

6.Mingyue Lu (#) et al., Method for Quickly Obtaining Three-Dimensional Contour Data of Basic Radar Reflectivity, 2022

7.Mingyue Lu (#) et al., Method for Quickly Obtaining Three-Dimensional Vector Data of Radar Reflectivity CAPPI, 2022

8.Mingyue Lu (#) et al., Method for Quickly Obtaining Three-Dimensional Vector Data of Vertical Section of Radar Reflectivity Data, 2022

9.Mingyue Lu (#) et al., Lightning Intensity Recognition Method Based on Radar Detection Data, 2022

10.Yangchen Di, Mingyue Lu (#) et al., Typhoon Similarity Assessment Method, 2021

11.Mingyue Lu (#) et al., Lightning Strike Area Recognition Method Based on 3D Radar Detection Data, 2021

12.Mingyue Lu (#) et al., Data Compression and Storage Method for Geoelectric Field Data, 2016

13.Mingyue Lu (#) et al., Radar Detection Data Processing Method Based on Geospatial Lattice, 2014

14.Mingyue Lu (#) et al., Method for Rapid Batch Matching of Coordinates in Large-Scale 3D Point Data, 2014

15.Mingyue Lu (#) et al., Method for Rapid Batch Matching of Coordinates in Large-Scale 2D Point Data, 2014


6、Recent publications

(1) Mingyue Lu, etc. , ER-MACG: An Extreme Precipitation Forecasting Model Integrating Self-Attention Based on FY4A Satellite Data. Remote Sens. 2024, 16, 3911. https://doi.org/10.3390/rs16203911,(IF= 5.349 ,SCI  二区 

(2) Mingyue Lu, etc. ,2024: MGCPN: An Efficient Deep Learning Model for Tibetan Plateau Precipitation Nowcasting Based on the IMERG Data. Journal of Meteorological Research. DOI: 10.1007/s13351-024-3211-1(IF= 3.2,T2  )

(3) Mingyue Lu,  etc., MCGLN: A multimodal ConvLSTM-GAN framework for lightning nowcasting utilizing multi-source spatiotemporal data, Atmospheric Research, 2024,  https://doi.org/10.1016/j.atmosres.2023.107093.(IF= 5.965,SCI 一区 )

(4) Mingyue Lu,  etc ;Wang,M. Spatiotemporal Prediction of Radar Echoes Based on ConvLSTM and Multisource Data. Remote Sens. 2023, 15, 1279.  https://doi.org/10.3390/rs15051279 (IF= 5.349,SCI  二区  Top)

(5) Mingyue Lu,  etc, A vision transformer for lightning intensity estimation using 3D weather radar, Science of the Total Environment (2022), https://doi.org/10.1016/j.scitotenv.2022.158496(IF =10.753 , SCI  一区  Top)

(6) Mingyue Lu,etc.,   (2022) A topological framework for real-time 3D weather radar data processing, International Journal of Digital Earth, 15:1, 813-831, DOI:https://doi.org/10.1080/17538947.2022.2061616(IF= 4.606,SCI 一区  Top )

(7) Mingyue Lu, etc. , 2022. "Monitoring Lightning Location Based on Deep Learning Combined with Multisource Spatial Data" Remote Sensing 14, no. 9: 2200. DOI:  https://doi.org/10.3390/rs14092200 (IF= 5.349 ,SCI  二区  Top

(8) Yangchen Di, Mingyue Lu*, etc., A quantitative method for the similarity assessment of typhoon tracks, Natural Hazards,2022,1, https://doi.org/10.1007/s11069-021-05195-6 (IF= 3.685,SCI  三区  

(9) Mingyue Lu, etc. ,PM2.5 Concentration Forecasting over the Central Area of the Yangtze River Delta Based on Deep Learning Considering the Spatial Diffusion Process, Remote Sensing. 2021, 13, 4834. https://doi.org/10.3390/rs13234834  (IF= 5.349,SCI  二区  Top

(10) Mingyue Lu, etc. , (2021) Lightning Strike Location Identification Based on 3D Weather Radar Data. Frontiers in Environmental Science. 9:714067. doi: 10.3389/fenvs.2021.714067(IF= 4.581)

(11) Mingyue Lu, etc. ,  Web-based Real-time Visualization of Large-scale Weather Radar Data Using 3D Tiles,  Transactions in GIS: 2020, doi: dx.doi.org/10.1111/tgis.12638 (IF= 2.568)

(12) Mingyue Lu, etc., 3D modelling strategy for weather radar data analysis.  Environmental Earth Sciences (2018) 77:804  https://doi.org/10.1007/s12665-018-7985-2 (IF= 3.152)

(13) Mingyue Lu, etc. , A Spatial Lattice Model Applied for Meteorological Visualization and Analysis,ISPRS International Journal of Geo-Information.,2017, 6(77) :77-90; IF= 3.099

(14) Zhang, Q.; Zhang, Q.; Liu,H.; Mingyue Lu. The Impact of COVID-19 Lockdown on Ambient Air Quality in Shanghai, 2022. Atmosphere 2023, 14, 898.https://doi.org/10.3390/atmos14050898

(15) Jingchao Yang,Manzhu Yu,Han Qin ,Mingyue Lu,Chaowei Yang, A Twitter Data Credibility Framework—Hurricane Harvey as a Use Case,ISPRS ISPRS Int. J. Geo-Inf. 2019, 8(3), 111; https://doi.org/10.3390/ijgi8030111

(16) Li, Yun, Yongyao Jiang, Juan Gu, Mingyue Lu, Manzhu Yu, Edward M. Armstrong etc. A Cloud-Based Framework for Large-Scale Log Mining through Apache Spark and Elasticsearch, Appl. Sci2019, 9(6), 1114; https://doi.org/10.3390/app9061114

(17 Zaiyang Ma, Min Chen, …Guonian Lü & Mingyue Lu (2021) Activity-based process construction for participatory geo-analysis,GIScience & Remote Sensing,  58:2, 180-198, DOI: 10.1080/15481603.2020.1868211

(18) Zhang, Q.; Zhang, Q.; Liu,H.; Mingyue Lu. The Impact of COVID-19 Lockdown on Ambient Air Quality in Shanghai, 2022. Atmosphere 2023, 14, 898.https://doi.org/10.3390/atmos14050898

(19林书睿,顾恒竹,路明月* 基于GW 模型的典型区域GPM 数据降尺度研究———以浙江省为例. 气象科学,202242( 6) : 793-803

(20)路明月,毛远翔,孟昭林,等. 面向 web 三维应用的气象雷达矢量剖面生成[J]. 科学技术与工程,2019,19(1) : 166-171 

(21)王轩,路明月*,郑建琴等,雷达数据的多维可视化,图学学报,2017,4(38):497-503

(22)郑建琴,路明月*,王曙东,贾惠珍,唐千红,基于决策树的天津地区冰雹天气雷达因子分析,气象科技,2017,2(45):349-354

(23)路明月,刘彬,陈旻,王轩,郑建琴,毛远翔,面向GIS 表达与分析的气象符号绘制库设计与实现, 图学学报, 2016,5(37):592-597 

(24)路明月,郑建琴,刘彬,王轩,邵一丹,海量时空大气电场数据的压缩存储与共享.计算机应用与软件, 2016,7(33):93-96

(25)路明月; 邵一丹等,基于KML的气象数据多维度集成表达与实现,计算机应用与软件,2015,11(23):32-35

(26)路明月,曾金权等,基于GIS的闪电数据可视化监测与统计分析,气象科学,2013,2(33): 202-207

(27)於永东,路明月等 《基于GIS的三维虚拟校园设计与实现》, 南京信息工程大学学报(自然科学版),2012,4(1):81-86; 

(28)路明月,张其林等,基于GIS的雷电数据可视化地图组件设计与实现,气象科技,2011,6(39):823-827; 

(29)路明月,张其林等,基于GIS的雷电灾害监测预警与数据处理系统,气象科技,2010,6(38):832-834; 

(30)路明月,盛业华,邱新法,三维矢量构模及其数据集成组织框架研究,,武汉大学学报-信息科学版, 2010,35(2): 138-142 (EI)

(31)路明月,何永建,三维海量点云数据的组织与索引方法,地球信息科学,2008,10(2):190-194

(32)路明月,盛业华,基于对象管理器的四面体集成模型研究,武汉大学学报-信息科学版,2007, 32(9):812-816(EI)

(33)路明月,盛业华,地层的四面体剖分及其数据对象的组织,地球信息科学,2007,9(3):57-61

(34)路明月,盛业华,三维体模型构建中空间对象的快速匹配,计算机工程与应用,2007,43(11): 43-44

(35)毕硕本,贡毓成,路明月等,气象数据标量场的建模与可视化研究,系统仿真学报,2020,32(7):1331-1340

(36)盛宇裕,毕硕本,路明月,赵峰,孙力.1951-2011年ENSO事件对秦岭-淮河地区旱涝灾害的影响分析[J].河南大学学报(自然科学版),2019,49(04):418-428.

(37)毕硕本,贡毓成,路明月,周浩,汤智.基于数字地球平台的热带气旋可视化研究[J].系统仿真学报,2020,32(03):472-481.


7、Awards

1.Second Prize in China’s Invention and Entrepreneurship Achievement Award, Key Technologies for Disaster Intelligent Monitoring and Risk Early Warning Based on Big Data, October 2022

2.First Prize in Meteorological Science and Technology Progress Award, Key Technologies and System Applications for High-Performance Meteorological Emergency Mobile Smart Platform, August 2017

3.First Prize in Guangxi Science and Technology Progress Award, Key Technologies and Applications for Lightning Disaster Prevention in Power Grids, March 2016

4.Second Prize in Fujian Meteorological Bureau Science and Technology Award, Research on Key Technologies for Near-Term Warning System of Lightning Disasters in Fujian Province, March 2016

5.Third Prize in China Electric Power Innovation Award, Research and Application of Lightning Disaster Early Warning and Prevention Technology for Power Grids, September 2015

6.Second Prize in Science and Technology Progress Award by China Southern Power Grid Company, Key Technologies and Applications for Lightning Disaster Prevention in Power Grids, February 2015

8、Professional Service

1.Project Review Expert for the National Natural Science Foundation

2.Committee Member, Virtual Geographic Environment Special Committee of ISDE

3.Lifetime Member, International Association of Chinese Professionals in Geographic Information Sciences (CPGIS)

4.Reviewer for various domestic and international journals, including Computers and Geosciences, Giscience & Remote Sensing, Frontiers in Environmental Science, Annals of GIS, Computers & Industrial Engineering, International Journal of Disaster Risk Reduction, Remote Sensing, Journal of Wuhan University, and Journal of Geoinformation Science.


Educational Experience

  • 南京师范大学 地理科学学院
  • 地图学与地理信息系统
  • 理学博士
  • With Certificate of Graduation for Doctorate Study

Work Experience

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Social Affiliations

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Research Focus

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