大气污染数值模拟与数据同化

硕士生1-2名；博士生1－2名

070602-大气物理学与大气环境

大气污染人工智能预报
城市减污降碳量的反演核算
大气污染数据同化

2004-09--2010-07   中国科学院大气物理研究所   理学博士
2000-09--2004-07   云南大学大气科学系   理学学士

理学博士

   

2023-01~现在, 地球系统数值模拟装置, 区域高精度环境模拟运行部负责人、用户委委员
2022-06~现在, 中国科学院大气物理研究所, 正高级工程师
2021-03~现在, 中国科学院大气物理研究所, 特聘研究岗位
2018-05~现在, 中国科学院大气物理研究所, 地球系统数值模拟装置 总工程师助理
2013-05~2022-05,中国科学院大气物理研究所, 副研究员
2010-07~2013-05,中国科学院大气物理研究所, 助理研究员

（1） 中国科学院技术支撑人才, 部委级, 2023
（2） 中国科学院科技促进发展奖, , 院级, 2022
（3） 环境技术进步奖, 一等奖, 国家级, 2022
（4） 广东省环境保护科学技术奖, 一等奖, 省级, 2022
（5） 中国科学院信息化优秀案例, , 院级, 2018
（6） 国家科技进步奖, 二等奖, 国家级, 2017

[1] 吴煌坚, 唐晓, 王自发, 朱江. 空气质量站点监测数据异常的自动化识别方法. CN: CN109034252B, 2020-10-30.

   

（1） 环境空气质量预报预警方法技术指南（第一版）, 中国环境出版社, 2014-06, 第 其他 作者
（2） 环境空气质量预报预警方法技术指南（第二版）, 中国环境出版社, 2017-06, 第 其他 作者
（3） 环境空气质量数值预报技术规范, 中国环境出版集团, 2021-08, 第 其他 作者

   

（ 1 ） 多变量协同同化的PM2.5数据再分析方法探索研究, 负责人, 国家任务, 2016-01--2019-12
（ 2 ） 大气复合污染海量多源观测同化与集合预报方法研究, 负责人, 国家任务, 2017-01--2020-12
（ 3 ） 面向区域高精度大气污染模拟与预测的科研信息化应用, 负责人, 中国科学院计划, 2018-01--2020-12
（ 4 ） 面向重污染预报预警的高时频源反演方法研究, 负责人, 国家任务, 2019-01--2022-12
（ 5 ） 法规模型物理化学过程和参数化方案比较与标准化研究, 负责人, 国家任务, 2018-07--2021-06
（ 6 ） 高分辨率全球空气质量智能化网格预报, 负责人, 中国科学院计划, 2019-03--2020-12
（ 7 ） 地球系统数值模拟装置, 参与, 国家任务, 2018-11--2022-11
（ 8 ） 中国大气复合污染多源信息综合数据共享平台研发, 参与, 国家任务, 2021-01--2023-12
（ 9 ） 多污染物协同同化和机器学习相结合的臭氧预报方法研究, 负责人, 国家任务, 2022-01--2025-12
（ 10 ） 基于人工智能与大数据的双碳大气环境科研新范式研究, 负责人, 中国科学院计划, 2022-01--2023-12
（ 11 ） 天空地多元观测数据实时融合同化技术研究, 负责人, 国家任务, 2023-12--2027-05

（1）      王自发，吴其重，Alex Gbaguidi，晏平仲，张伟，王威，唐晓. 北京空气质量多模式集成预报系统的建立及初步应用. 南京信息工程大学学报,自然科学版,2009,1(1):19-26.

（2）      向伟玲，安俊岭，王自发，吴其重，唐晓. 北京奥运期间CBM-Z化学机制的模拟应用. 气候与环境研究,2010,15(5):551-559.

（3）      张伟，王自发，安俊岭，杨婷，唐晓. 利用BP神经网络提高奥运实时预报系统预报效果. 气候与环境研究,2010,15(5):595-601.

（4）      唐晓, 王自发, 朱江, 吴其重, 阿历克斯·巴吉迪. 蒙特卡罗不确定性分析在臭氧模拟中的初步应用. 气候与环境研究,2010,15(5):541-550.

（5）      唐晓, 王自发, 朱江, 阿历克斯·巴吉迪, 吴其重. 北京地面臭氧的集合预报试验. 气候与环境研究，2010,15(5):677-684.

（6）      唐晓，朱江，王自发，Alex Gbaguidi，吴其重，陈焕盛，李杰. 基于集合卡尔曼滤波的区域臭氧资料同化试验. 环境科学学报，2013,33(3):796-805.

（7）      陈焕盛，王自发，吴其重，吴剑斌，晏平仲，唐晓，王哲. 空气质量多模式系统在广州应用及对PM10预报效果评估. 气候与环境研究,2013,18(4):427-435.

（8）      陈焕盛，吴其重，王自发，唐晓，徐文帅. 华北火电厂脱硫对奥运期间区域空气质量的影响. 环境科学学报,2014,34(3):598-605.

（9）      黄思，唐晓，徐文帅，王哲，陈焕盛，李杰，吴其重，王自发. 利用多模式集合和多元线性回归改进北京PM₁₀预报. 环境科学学报,2015,35(1):56-64.

（10）   冯帆，王自发，唐晓. 一个基于打靶法的大气污染源反演自适应算法. 大气科学,2016,40(4):719-729.

（11）   黄思，唐晓，王自发，陈焕盛，刘冰，朱江. 基于观测、模拟和同化数据的PM_2.5污染回顾分析. 气候与环境研究,2016,21(6):700-710.

（12）   卢苗苗，唐晓，王自发，梁胜文，郝建奇，周慧，李飞，胡柯，胡世祥，李蒲，刘汉华，田建军.武汉地区2014年PM_2.5 时空分布与来源贡献的数值模拟研究. 环境科学学报,2017,37(11):4227⁃4240.

（13）   朱江，唐晓，王自发，吴林. 大气污染资料同化与应用综述. 大气科学,2018,42(3): 607-620.

（14）   刘娜，段晚锁，王自发，唐晓，周菲凡. 北京地区一次空气重污染过程的目标观测分析. 气候与环境研究，2018,13(5):619−632.

（15）   邱培培，唐晓，卢苗苗，黄宇，周君蕊.武汉市大气污染变化趋势预测. 南京信息工程大学学报（自然科学版），2018,10(5):571-578.

（16）   李飞，唐晓，王自发，朱莉莉，王晓彦，吴煌坚，卢苗苗，李健军，朱江. 基于京津冀高密度地面观测网络的大气污染物浓度地面观测代表性误差估计. 大气科学,2019,43(2):277-284.

（17）   谢运兴，唐晓，郭宇宏，林彩燕，吴煌坚，卢苗苗，王自发. 新疆大气颗粒物的时空分布特征. 中国环境监测，2019,35(1):26-36.

（18）   隋玟萱，王颢樾，唐晓，卢苗苗，吴煌坚，朱莉莉.山东省2015年PM2.5和O3污染时空分布特征. 中国环境监测，2019,35(2):59-69.

（19）   曹凯，唐晓，孔磊，王威，吴倩，黄树元，张佩文，韩丽娜，吴其重，王自发.京津冀及其周边地区“2+26”城市PM2.5的蒙特卡罗集合预报试验. 气候与环境研究,2021,26(2):181−190.

（20）   吴煌坚，林伟，孔磊，唐晓，王威，王自发，陈松蹊. 一种基于集合最优插值的排放源快速反演方法. 气候与环境研究,2021,26(2):191−201.

（21）   韩丽娜，唐晓，陈科艺，周慧，孔磊，张佩文，黄树元，吴倩，曹凯，王自发. 气象预报模式参数化方案对重污染过程 PM2.5浓度预报效果的影响. 气候与环境研究,2021,26(3):312−322.

（22）   黄树元，唐晓，陈科艺，梁胜文，沈龙娇，王祖武，孔磊，张佩文，王自发. 武汉冬季典型月份 PM_2.5浓度变化的观测分析与模拟追因. 环境科学学报,2021,41(3):842-852.

（23）   田东，李观，程世宇，孔磊，唐晓，赵青，高阳，单桂华，迟学斌. 空气质量细粒度数据内联关系可视分析系统. 计算机辅助设计与图形学学报,2021,33(9):1326-1336.

（24）   张佩文，唐晓，陈科艺，陈多宏，朱莉莉，沈劲，叶斯琪，孔磊，韩丽娜，吴倩，王自发. 珠三角关键大气挥发性有机物的模拟精度评估. 大气科学,2021,45(5):1114−1126.

（25）   刘可欣，卢苗苗，张裕芬，吴建会，唐晓，李亚菲，王自发. 天津市夏秋季O3-PM2.5复合污染特征及气象成因分析. 环境科学学报,2021,41(9):3650-3662.

（26）   韩丽娜，唐晓，陈科艺，隋玟萱，周慧，刘娜，孔磊，冼志鹏，吴林，王自发.北京地区一次空气重污染过程的气象条件模拟参数化敏感性试验. 气候与环境研究,2021,25(3):253-267.

（27）   王舒扬，姜金荣，迟学斌，唐晓. 融合数值模式预报数据的深度学习. PM_2.5浓度预测模型. 数值计算与计算机应用, 2021, https://kns.cnki.net/kcms/detail/11.2124.TP.20210421.1021.008.html.

（28）   郑传增，贾光林，余宇帆，陆梦华，王自发，唐 晓，吴煌坚，黄志炯，郑君瑜. 基于EnKF排放清单反演方法的关键影响参数评估与优化. 中国环境科学,2022,42(9):4043~4051.

（29）   王瑶，唐晓，陈科艺，胡柯，梁胜文，罗洪艳，宋雅婷，罗雪纯，王自发. 新冠疫情期间武汉空气质量变化的多维观测分析. 气候与环境研究, 2022,27(6): 756−768.

（30）   吴倩，唐晓，孔磊，刀谞，朱宽广，刘巍，丁峰，王盼. 基于机器学习算法对二次无机气溶胶模拟进行偏差订正. 环境科学学报,2023,43(4):121-130.

（31）   宋雅婷，唐晓，孔磊，罗雪纯，王瑶，罗洪艳，吴煌坚，王自发. 污染源反演对重点城市群夏季 O₃模拟的改进效果评估. 气候与环境研究, 2023,28(1): 61−73.

（32）   朱明明，曹无敌，吴林，王自溪，廖琦，王自发，张思，唐晓，李杰，王 婧，王彦棡. 基于人工 智能与大数据的双碳大气环境信息化应用进展与展望. 数据与计算发展前沿,2023,5(3).

（33）   Qizhong Wu, Zifa Wang, Alex E. Gbaguidi, Xiao Tang, and Wen Zhou.Numerical study of the effect of traffic Restriction on Air Quality in Beijing. SOLA, 2010,6A:017−020

（34）   Xiao Tang, Zifa Wang, Jiang Zhu, Alex E. Gbaguidi, Qizhong Wu, Jie Li, Tong Zhu. Sensitivity of ozone to precursor emissions in urban Beijing with a Monte Carlo scheme.Atmospheric Environment,2010,44：3833-3842.

（35）   Xiao Tang, Jiang Zhu, Zifa Wang and Alex E. Gbaguidi. Improvement of ozone forecast over Beijing based on ensemble Kalman filter with simultaneous adjustment of initial conditions and emissions.Atmospheric Chemistry and Physics,2011,11:12901-12916.

（36）   Xiao Tang, Jiang Zhu, Zifa Wang M. Wang, Alex E. Gbaguidi, Jie Li, M. Shao, G.Q. Tang, D.S.Ji. Inversion of CO emissions over Beijing and its surrounding areas with ensemble Kalman filter.Atmospheric Environment,2013,81:676-686.

（37）   XiaoLe Pan, Y. Kanaya, ZiFa Wang, Xiao Tang, M. Takigawa, P. Pakpong, F. Taketani, H. Akimoto. Using Bayesian optimization method and FLEXPART tracer model to evaluate CO emission in East China in springtime. Environmental Science and Pollution Research, 2013,21: 3873–3879

（38）   Wang Zifa Li Jie, Wang Zhe, Yang Wenyi, Tang Xiao, Ge Baozhu, Yan Pingzhong, Zhu Lili, Chen Xueshun, Chen Huansheng, Wang Wei, Li Jianjun, Liu Bing, Wang Xiaoyan, Wang Wei, Zhao Yilin, Lu Ning, and Sun Debin. Modeling study of regional severe hazes over mid-eastern China in January 2013 and its implications on pollution prevention and control.Science China-Earth Sciences, 2014,57:3–13.

（39）   HuanSheng Chen, ZiFa Wang, Jie Li, Xiao Tang, BaoZhu Ge, X.L. Wu, O. Wild, and G.R. Carmichael. GNAQPMS-Hg v1.0, a global nested atmospheric mercury transport model: model description, evaluation and application to trans-boundary transport of Chinese anthropogenic emissions. Geoscientific Model Development, 2015,8: 2857–2876.

（40）   Jun Liu, Yiqun Han, Xiao Tang, Jiang Zhu, Tong Zhu. Estimating adult mortality attributable to PM2.5 exposure in China with assimilated PM2.5 concentrations based on a ground monitoring network. Science of the Total Environment, 2016,568:1253–1262.

（41）   Yele Sun, Chen Chen, Yingjie Zhang, Weiqi Xu, Libo Zhou, Xueling Cheng, Haitao Zheng, Dongsheng Ji, Jie Li, Xiao Tang, Pingqing Fu & Zifa Wang. Rapid formation and evolution of an extreme haze episode in Northern China during winter 2015. Scientific Reports,2016,6(27151),

（42）   Xiao Tang, Jiang Zhu, Zifa Wang, Alex Gbaguidi, Caiyan Lin, Jinyuan Xin, Tao Song and Bo Hu. Limitations of ozone data assimilation with adjustment of NOx emissions: mixed effects on NO₂ forecasts over Beijing and surrounding areas.Atmospheric Chemistry and Physics,2016,16:6395-6405.

（43）   Miaomiao Lu, Xiao Tang, Zifa Wang, Alex Gbaguidi, Shengwen Liang, Ke Hu, Lin Wu, Huangjian Wu, Zhen Huang and Longjiao Shen.Source tagging modeling study of heavy haze episodes under complex regional transport processes over Wuhan megacity, Central China.Environmental Pollution,2017,231:612-621.

（44）   Hui Wang, Huansheng Chen, Qizhong Wu, Junmin Lin, Xueshun Chen, Xinwei Xie, Rongrong Wang, Xiao Tang, and Zifa Wang. GNAQPMS v1.1: accelerating the Global Nested Air Quality Prediction Modeling System (GNAQPMS) on Intel Xeon Phi processors.Geoscientific Model Development,2017,10:2891–2904.

（45）   Xiaole Pan, Itsushi Uno, Zhe Wang, Tomoaki Nishizawa, Nobuo Sugimoto, Shigekazu Yamamoto, Hiroshi Kobayashi, Yele Sun, Pingqing Fu, Xiao Tang & Zifa Wang, 2017: Real-time observational evidence of changing Asian dust morphology with the mixing of heavy anthropogenic pollution Scientific Reports, 2017,7(335).

（46）   Jie Li, Huiyun Du, Zifa Wang, Yele Sun, Wenyi Yang, Jianjun Li, Xiao Tang, Pingqing Fu.Rapid formation of a severe regional winter haze episode over a mega-city cluster on the North China Plain.Environmental Pollution.2017,223: 605-615.

（47）   Huangjian Wu, Xiao Tang, Zifa Wang, Lin Wu, Miaomiao Lu, Lianfang Wei and Jiang Zhu.Probabilistic automatic outlier detection for surface air quality measurements from the China National Environmental Monitoring Network. ADVANCES IN ATMOSPHERIC SCIENCES.2018,35:1522–1532.

（48）   Xiao-Xiao Zhang, Brenton Sharratt, Lian-You Liu, Zi-Fa Wang, Xiao-Le Pan, Jia-Qiang Lei, Shi-Xin Wu, Shuang-Yan Huang, Yu-Hong Guo, Jie Li, Xiao Tang, Ting Yang, Yu Tian, Xue-Shun Chen, Jian-Qi Hao, Hai-Tao Zheng, Yan-Yan Yang, and Yan-Li Lyu.East Asian dust storm in May 2017: observations, modelling, and its influence on the Asia-Pacific region. Atmospheric Chemistry and Physics,2018,18:8353–8371.

（49）   Haoyue Wang, Chunyang Zhang, Ke Yu, Xiao Tang, Huizheng Che, Jianchun Bian, Shanshan Wang, Bin Zhou, Rui Liu, Xiaoguang Deng, Xunhao Ma, Zhe Yang, Xiaohang Gao, Yuehua Lu, Yuzhu Wang, Weiguo Wang. Aerosol Optical Radiation Properties in Kunming (the Low-Latitude Plateau of China) and Their Relationship to the Monsoon Circulation Index. REMOTE SENSING,2019, DOI: 10.3390/rs11242911.

（50）   Haitao Zheng, Jianguo Liu, Xiao Tang, Zifa Wang, Huangjian Wu, Pingzhong Yan, and Wei Wang Improvement of the Real-time PM_2.5 Forecast over the Beijing-Tianjin-Hebei Region using an Optimal Interpolation Data Assimilation Method. Aerosol and Air Quality Research, 2019,8;1305–1316.

（51）   Lei Kong, Xiao Tang, Jiang Zhu, Zifa Wang, Yuepeng Pan, Huangjian Wu, Lin Wu, Qizhong Wu, Yuexin He, Shili Tian, Yuzhu Xie, Zirui Liu, Wenxuan Sui, Lina Han and Greg Carmichael.Improved Inversion of Monthly Ammonia Emissions in China Based on the Chinese Ammonia Monitoring Network and Ensemble Kalman Filter. Environmental Science & Technology,2019,53:12529−12538.

（52）   Miaomiao Lu, Xiao Tang, Zifa Wang, Lin Wu, Xueshun Chen, Shengwen Liang, Hui Zhou, Huangjian Wu, Ke Hu, Longjiao Shen, Jia Yu and Jiang Zhu. Investigating the Transport Mechanism of PM_2.5 Pollution during January 2014 in Wuhan, Central China. ADVANCES IN ATMOSPHERIC SCIENCES,2019,36:1217–1234.

（53）   Haoyue Wang, Wenxuan Sui, Xiao Tang, Miaomiao Lu, Huangjian Wu, Lei Kong, Lina Han, Lin Wu, Weiguo Wang, Zifa Wang .Simulation-based Design of Regional Emission Control Experiments with Simultaneous Pollution of O3 and PM2.5 in Jinan, China. Aerosol and Air Quality Research, 2019,19: 2543–2556.

（54）   Haoyue Wang, Suying Chai, Xiao Tang, Bin Zhou, Jianchun Bian, Xiangdong Zheng, Holger Vömel, Ke Yu, Weiguo Wang. Application of temperature dependent ozone absorption cross-sections in T total ozone retrieval at Kunming and Hohenpeissenberg stations,Atmospheric Environment, 2019,215：16890.

（55）   Haoyue Wang, Suying Chai, Xiao Tang, Bin Zhou, Jianchun Bian, Holger Vömel, Ke Yu, Weiguo Wang. Verification of satellite ozone/temperature profile products and ozone effective height/temperature over Kunming China. Science of the Total Environment, 2019,661: 35-47.

（56）   Xiao-Xiao Zhang, Brenton Sharratt, Jia-Qiang Lei, Cheng-Lai Wu, Jie Zhang, Chun Zhao, Zi-Fa Wang, Shi-Xin Wu, Sheng-Yu Li, Lian-You Liu, Shuang-Yan Huang, Yu-Hong Guo, Rui Mao, Jie Li, Xiao Tang, Jian-Qi Hao. Parameterization schemes on dust deposition in northwest China: Model validation and implications for the global dust cycle, Atmospheric Environment, 2019,209：1-13.

（57）   Hui Wang, Junmin Lin, Qizhong Wu, Huansheng Chen, Xiao Tang, Zifa Wang, Xueshun Chen, Huaqiong Cheng, and Lanning Wang.MP CBM-Z V1.0: design for a new Carbon Bond Mechanism Z (CBM-Z) gas-phase chemical mechanism architecture for next-generation processors. Geoscientific Model Development.2019,12:749–764.

（58）   Lei Kong, Xiao Tang, Jiang Zhu, Zifa Wang, Joshua S. Fu, Xuemei Wang, Syuichi Itahashi, Kazuyo Yamaji, Tatsuya Nagashima, Hyo-Jung Lee, Cheol-Hee Kim, Chuan-Yao Lin, Lei Chen, Meigen Zhang, Zhining Tao, Jie Li, Mizuo Kajino, Hong Liao, Kengo Sudo, Yuesi Wang, Yuepeng Pan, Guiqian Tang, Meng Li, Qizhong Wu, Baozhu Ge, and Gregory R. Carmichael. Evaluation and uncertainty investigation of the NO₂, CO and NH₃ modeling over China under the framework of MICS-Asia III.Atmospheric Chemistry and Physics,2019,20:181-202.

（59）   Huangjian Wu,Xiao Tang, Zifa Wang, Lin Wu, Jianjun Li, Wei Wang, Wenyi Yang,Jiang Zhu.High-spatiotemporal-resolution inverse estimation 1 of CO and NOx 2 emission reductions during emission control periods with a modified ensemble Kalman filter,AtmosphericEnvironment,2020:10.1016/j.atmosenv.2020.117631.

（60）   Qi Liao, Mingming Zhu, Lin Wu, Xiaole Pan, Xiao Tang，Zifa Wang.Deep Learning for Air Quality Forecasts: a Review. CURRENT POLLUTION REPORTS.2020.6(4),399-409.

（61）   Wenyi Yang, Huansheng Chen, Jianbin Wu, Wending Wang, Junyu Zheng, Duohong Chen, Jie Li, Xiao Tang, Zifa Wang, Lili Zhu, Wei Wang. Characteristics of the source apportionment of primary and secondary inorganic PM2.5 in the Pearl River Delta region during 2015 by numerical modeling. ENVIRONMENTAL POLLUTION,2020, DOI: 10.1016/j.envpol.2020.115418

（62）   Qian Wu, Xiao Tang, Lei Kong, Zirui Liu, Duohong Chen, Miaomiao Lu, Huangjian Wu, Jin Shen, Lin Wu, Xiaole Pan, Jie Li, Jiang Zhu, Zifa Wang. Model Evaluation and Uncertainty Analysis of PM2.5 Components over Pearl River Delta Region Using Monte Carlo Simulations。AEROSOL AND AIR QUALITY RESEARCH,2021, DOI: 10.4209/aaqr.2020.02.0075.

（63）   Lu Lei, Wei Zhou, Chun Chen, Yao He, Zhijie Li, Jiaxing Sun, Xiao Tang, Pingqing Fu, Zifa Wang, Yele Sun. Long-term characterization of aerosol chemistry in cold season from 2013 to 2020 in Beijing,China, ENVIRONMENTAL POLLUTION, 2020, DOI: 10.1016/j.envpol.2020.115952

（64）   Han Mei, Pengfei Han, Yinan Wang, Ning Zeng, Di Liu, Qixiang Cai, Zhaoze Deng，Yinghong Wang, Yuepeng Pan and Xiao Tang. Field Evaluation of Low‐Cost Particulate Matter Sensors in Beijing, MDPI, 2020,20(16):4381

（65）   Disong Fu, Zijue Song, Xiaoling Zhang, Xiangao Xia, Jun Wangd, Huizheng Che,Huangjian Wu, Xiao Tang, Jinqiang Zhang, Minzheng Duan. Mitigating MODIS AOD non-random sampling error on surface PM2.5 estimates by a combined use of Bayesian Maximum Entropy method and linear mixed-effects model, Atmospheric Pollution Research, (2020) 482–490

（66）   Lei Kong,Xiao Tang,Jiang Zhu,Zifa Wang,Jianjun Li,Huangjian Wu,Qizhong Wu,Huansheng Chen,Lili Zhu, Wei Wang,Bing Liu,Qian Wang,Duohong Chen,Yuepeng Pan,Tao Song, Fei Li, Haitao Zheng, Guanglin Jia, Miaomiao Lu, Lin Wu,and Gregory R. Carmichael. A 6-year-long (2013–2018) high-resolution air quality reanalysis dataset in China based on the assimilation of surface observations from CNEMC,Earth system science data.2020,13(2):529-570

（67）   Jun Liu,Hao Yin,Xiao Tang,Tong Zhu,Qiang Zhang ,Zhu Liu,XiaoLong Tang, HongHong Yi. Transition in air pollution, disease burden and health cost in China: A comparative study of long-term and short-term exposure, Environmental Pollution,2021,227:116770-116784.

（68）   Qian Wu, Xiao Tang, Lei Kong, Xu Dao, Miaomiao Lu, Zirui Liu, Wei Wang, Qian Wang,Duohong Chen, Lin Wu, Xiaole Pan, Jie Li, Jiang Zhu and Zifa Wang. Evaluation and Bias Correction of the Secondary Inorganic Aerosol Modeling over North China Plain in Autumn and Winter,Atmosphere, 2021,12(5)：578-590.

（69）   Hui Wang, Qizhong Wu, Alex B. Guenther, Xiaochun Yang, Lanning Wang, Tang Xiao, Jie Li, Jinming Feng,Qi Xu, and Huaqiong Cheng. A long-term estimation of biogenic volatile organic compound (BVOC) emission in China from 2001–2016: the roles of land cover change and climate variability, Atmospheric Chemistry and Physics,2021,21：4825–4848.

（70）   Pengfei Han, Han Mei, Di Liu, Ning Zeng, Xiao Tang, Yinghong Wang, and Yuepeng Pan.Calibrations of Low-Cost Air Pollution Monitoring Sensors for CO,NO2,O3,andSO2, Sensors,2021,21(1):256-273.

（71）   Zhaoyang Chai, He Zhang, Mulan Zhang, Xiao Tang, Weipeng Zheng, Jiang Zhu, Guangqing Zhou, Junji Cao, Qingcun Zeng. China’s EarthLab—Forefront of Earth System Simulation Research, Adv. Atmos. Sci.,，2021:38,pages1611-1620

（72）   Miaomiao Lu, Xiao Tang, Yinchang Feng, Zifa Wang, Xueshun Chen, Lei Kong, Dongsheng Ji, Zirui Liu, Kexin Liu, Huangjian Wu, Shengwen Liang, Hui Zhou, Ke Hu.Nonlinear response of SIA to emission changes and chemical processes over eastern and central China during a heavy haze month,Science of the Total Environment,2021,788:147747-147760

（73）   Tie Dai, Yueming Cheng, Daisuke Goto, Yingruo Li, Xiao Tang, Guangyu Shi, and Teruyuki Nakajima. Revealing the sulfur dioxide emission reductions in China by assimilating surface observations in WRF-Chem, Atmospheric Chemistry and Physics,2021,21:4357–4379

（74）   Qian Ye, Jie Li, Xueshun Chen, Huansheng Chen, Wenyi Yang, Huiyun Du, Xiaole Pan, Xiao Tang, Wei Wang, Lili Zhu, Jianjun Li, Zhe Wang, Zifa Wang. High-resolution modeling of the distribution of surface air pollutants and their intercontinental transport by a global tropospheric atmospheric chemistry source–receptor model (GNAQPMS-SM), Geoscientific Model Development, 2021,14: 7573–7604.

（75）   Pei Liu, Erlin Yao, Tao Liu, Lei Kong, Xiao Tang, Guangming Tan. Improvement of AI forecast of gridded PM2.5 forecast in China through ConvLSTM and Attention, CCF Transactions on High Performance Computing, 2022, https://doi.org/10.1007/s42514-021-00087-4.

（76）   Zhilan Ye, Jie Li, Yuepeng Pan, Zifa Wang, Xiurui Guo, Long Cheng, Xiao Tang, Jiang Zhu, Lei Kong, Yu Song, Jia Xing, Yele Sun, Xiaole Pan. Synergistic effect of reductions in multiple gaseous precursors on secondary inorganic aerosols in winter under a meteorology-based redistributed daily NH3 emission inventory within the Beijing-Tianjin-Hebei region, China. Science of the Total Environment, 2022, 821, 153383.

（77）   Lili Wang, Mingge Li, Qinglu Wang, Yuanyuan Li, Jinyuan Xin, Xiao Tang, Wupeng Du, Tao Song, Tingting Li, Yang Sun, Wenkang Gao, Bo Hu, Yuesi Wang. Air stagnation in China: Spatiotemporal variability and differing impact on PM2.5 and O3 during 2013–2018. Science of the Total Environment, 2022, 819, 152778.

（78）   Haoyue Wang, Wanlin Wei, Huizheng Che, Xiao Tang, Jianchun Bian, Ke Yu, Weiguo Wang. Ground-Based MAX-DOAS Measurements of Tropospheric Aerosols, NO2, and HCHO Distributions in the Urban Environment of Shanghai, China. Remote Sensing, 2022, 14, 1726. https:// doi.org/10.3390/rs14071726.

（79）   Yuting Zhang, Xiaole Pan, Yu Tian, Hang Liu, Xueshun Chen, Baozhu Ge, Zhe Wang, Xiao Tang, Shandong Lei, Weijie Yao, Yuanzhe Ren, Yongli Tian, Jie Li, Pingqing Fu, Jinyuan Xin, Yele Sun, Junji Cao, Zifa Wang. Transport Patterns and Potential Sources of Atmospheric Pollution during the XXIV Olympic Winter Games Period. Adv. Atmos. Sci., 2022, https://doi.org/10.1007/s00376-022-1463-1.

（80）   Yujing Zhang, Jie Li, Wenyi Yang, Huiyun Du, Xiao Tang, Qian Ye, Zixi Wang, Yele Sun, Xiaole Pan, Lili Zhu, Zifa Wang. Influences of stratospheric intrusions to high summer surface ozone over a heavily industrialized region in northern China. Environ. Res. Lett., 2022, 17, 094023.

（81）   Meiling Cheng, Fangxin Fan, Ionel M. Navon, Jie Zheng, Xiao Tang, Jiang Zhu, Christopher Pain. Spatio-Temporal Hourly and Daily Ozone Forecasting in China Using a Hybrid Machine Learning Model: Autoencoder and Generative Adversarial Networks. Journal of Advances in Modeling Earth Systems, 2022, 14, e2021MS002806. https://doi. org/10.1029/2021MS002806.

（82）   Guanglin Jia, Zhijiong Huang, Xiao Tang, Jiamin Ou, Menghua Lu, Yuanqian Xu, Zhuangmin Zhong, Qing’e Sha, Huangjian Wu, Chuanzeng Zheng, Tao Deng, Duohong Chen, Min He, Junyu Zheng. A meteorologically adjusted ensemble Kalman filter approach for inversing daily emissions: A case study in the Pearl River Delta, China. Journal of Environmental Sciences, 2022, 114, 233-248.

（83）   Zixuan Jia, Ruth M. Doherty, Carlos Ordóñez, Chaofan Li, Oliver Wild, Shipra Jain, Xiao Tang. The impact of large-scale circulation on daily fine particulate matter (PM_2.5) over major populated regions of China in winter. Atmos. Chem. Phys., 2022, 22, 6471–6487.

（84）   Xiaoxiao Zhang, Lianyou Liu, Yongdong Wang, Jiaqiang Lei, Shixin Wu, Shengyu Li, Yuhong Guo, Zifa Wang, Xiao Tang, Shuangyan Huang, Jie Zhou. Spatiotemporal evolution of aeolian dust in China: An insight into the synoptic records of 1984–2020 and nationwide practices to combat desertification. Land Degradation & Development, 2022, https://doi.org/10.1002/ldr.4585.

（85）   Qian Ye, Jie Li, Xiao Tang, Xueshun Chen, Lei Kong, Huansheng Chen, Wenyi Yang, Huiyun Du, Xiaole Pan, Wei Wang, Lili Zhu, Jianjun Li, Zhe Wang, Yele Sun, Lanzhong Liu, Junji Cao, Zifa Wang. Uncertainties in the simulated intercontinental transport of air pollutants in the springtime from emission and meteorological inputs. Atmos. Environ., 2023, 293, 119431.

（86）   Xuefeng Yao, Baozhu Ge, Aibing Li, Guanjun Chen, Fan Fan, Danhui Xu, Yuge Wang, Xiao Tang, Lei Kong, Zifa Wang. Spatio-temporal variation of PM_2.5 pollution in Xinjiang and its causes: The growing importance in air pollution situation in China. Front. Environ. Sci., 2023, 10:1051610, doi: 10.3389/fenvs.2022.1051610.

（87）   Kai Cao, Xiao Tang, Lanning Wang, Xueshun Chen, Qizhong Wu, Lei Kong, Miaomiao Lu, Huangjian Wu, Zifa Wang. Simulating the impact of bushfires in Australia on local air quality and aerosol burden in the southern hemisphere. SOLA, 2023, 19, 16−25, doi:10.2151/sola.2023-003.

（88）   Hongyan Luo, Xiao Tang, Huangjian Wu, Lei Kong, Qian Wu, Kai Cao, Yating Song, Xuechun Luo, Yao Wang, Jiang Zhu, Zifa Wang. The impact of the numbers of monitoring stations on the national and regional air quality assessment in China during 2013–18. Adv. Atmos. Sci., 2023,  https://doi.org/10.1007/s00376-022-1346-5.

（89）   Xuechun Luo, Xiao Tang, Haoyue Wang, Lei Kong, Huangjian Wu, Weiguo Wang, Yating Song, Hongyan Luo, Yao Wang, Jiang Zhu, Zifa Wang. Investigating the Changes in Air Pollutant Emissions over the Beijing-Tianjin-Hebei Region in February from 2014 to 2019 through an Inverse Emission Method. Adv. Atmos. Sci., 2023, https://doi.org/10.100 7/s00376-022-2039-9.

（90）   Tong Zhu, Mingjin Tang, Meng Gao, Xinhui Bi, Junji Cao, Huizheng Che, Jianmin Chen, Aijun Ding, Pingqing Fu, Jian Gao, Yang Gao, Maofa Ge, Xinlei Ge, Zhiwei Han, Hong He, Ru-Jin Huang, Xin Huang, Hong Liao, Cheng Liu, Huan Liu, Jianguo Liu, Shaw Chen Liu, Keding Lu, Qingxin Ma, Wei Nie, Min Shao, Yu Song, Yele Sun, Xiao Tang, Tao Wang, Tijian Wang, Weigang Wang, Xuemei Wang, Zifa Wang, Yan Yin, Qiang Zhang, Weijun Zhang, Yanlin Zhang, Yunhong Zhang, Yu Zhao, Mei Zheng, Bin Zhu, Jiang Zhu. Recent Progress in Atmospheric Chemistry Research in China: Establishing a Theoretical Framework for the “Air Pollution Complex”. Adv. Atmos. Sci., 2023, https://doi.org/10.1007/s00376-023-2379-0.

（91）   Huangjian Wu, Lei Kong, Xiao Tang, Lili Zhu, Jiang Zhu, Zifa Wang. Air Quality Forecasting with Inversely Updated Emissions for China. Environmental Science & Technology Letters, 2023, 10(8), 655-661. https://doi.org/10.1021/acs.estlett.3c00266.

（92）   Lei Kong, Xiao Tang, Jiang Zhu, Zifa Wang, Yele Sun, Pingqing Fu, Meng Gao, Huangjian Wu, Miaomiao Lu, Qian Wu, Shuyuan Huang, Wenxuan Sui, Jie Li, Xiaole Pan, Lin Wu, Hajime Akimoto, Gregory R. Carmichael. Unbalanced emission reductions of different species and sectors in China during COVID-19 lockdown derived by multi-species surface observation assimilation. Atmos. Chem. Phys., 2023, 23, 6217–6240, https://doi.org/10.5194/acp-23-6217-2023.

（93）   Kai Cao, Qizhong Wu, Lingling Wang, Nan Wang, Huaqiong Cheng, Xiao Tang, Dongqing Li, and Lanning Wang. GPU-HADVPPM V1.0: a high-efficiency parallel GPU design of the piecewise parabolic method (PPM) for horizontal advection in an air quality model (CAMx V6.10). Geosci. Model Dev., 2023, 16, 4367–4383, https://doi.org/10.5194/gmd-16-4367-2023.

已毕业研究生：

黄思，中国科学院大气物理研究所，硕士研究生，2015年毕业；

李飞，中国科学院大气物理研究所，硕士研究生，2018年毕业；

吴煌坚，中国科学院大气物理研究所，博士研究生，2018年毕业；[协助指导]

卢苗苗，中国科学院大气物理研究所，博士研究生，2018年毕业；[协助指导]

谢运兴，中国科学院大气物理研究所，硕士研究生，2018年毕业；[协助指导]

郑海涛，中国科学院安徽光学精密机械研究所，博士研究生，2018年毕业；[协助指导]

隋玟萱，云南大学，硕士研究生，2018年毕业；

贾光林，华南理工大学，博士研究生，2020年毕业；[协助指导]

韩丽娜，成都信息工程大学，硕士研究生，2020年毕业；

孔磊，中国科学院大气物理研究所，博士研究生，2021年毕业；[协助指导]

曹凯，中国科学院大气物理研究所，硕士研究生，2021年毕业；

梅焓，中国科学院大气物理研究所，硕士研究生，2021年毕业；

吴倩，中国科学院大气物理研究所，硕士研究生，2021年毕业；

张佩文，成都信息工程大学，硕士研究生，2021年毕业；

黄树元，成都信息工程大学，硕士研究生，2021年毕业；

罗洪艳，中国科学院大气物理研究所，硕士研究生，2022年毕业；

宋雅婷，中国科学院大气物理研究所，硕士研究生，2022年毕业；

王瑶，成都信息工程大学，硕士研究生，2022年毕业；

韩雨阳，中国科学院大气物理研究所，硕士研究生，2023年毕业；

王健颖，成都信息工程大学，硕士研究生，2023年毕业。

在读研究生：

丁宁，中国科学院大气物理研究所，硕士研究生；

谢佳丽，河海大学，硕士研究生；

周旭，中国科学院大气物理研究所，硕士研究生；

许翔宇，中国科学院大气物理研究所，硕士研究生；

岳鑫，成都信息工程大学，硕士研究生；

冯薇，中国科学院大气物理研究所，博士研究生；

赵政，成都信息工程大学，硕士研究生。