2002.9-2006.7 bat365在线平台app环境科学与工程系 学士

2006.9-2011.7 bat365在线平台app环境科学与工程系 博士

2018-            bat365官方网页版                        副教授

2019-2020    微软亚太研究院                            铸星计划访问教授

2016-2018    bat365官方网页版                        助理教授

2011-2016    美国环保署                                    博士后研究员

2008-2009    美国北卡罗来纳州立大学                访问学者

2006-2007    国际应用系统分析研究所(IIASA)    访问学者

学术会员：美国地学学会、美国气象学会、大气固废管理协会

区域大气化学-气候数值模型与机器学习模型

作为负责人承担多项科技部国家重点研发计划、国家自然科学基金等研究项目。

代表性文章（近两年）

1. Xing, J., Zheng, S., Li, S., Huang, L., Wang, X., Kelly, J. T., ... & Hao, J. Mimicking atmospheric photochemical modeling with a deep neural network. Atmospheric Research, 105919, 2021.

2. Xing, J., Zheng, S., Ding, D., Kelly, J. T., Wang, S., Li, S., ... & Hao, J. Deep learning for prediction of the air quality response to emission changes. Environmental science & technology, 54(14), 8589-8600, 2020.

3. Xing, J., Lu, X., Wang, S., Wang, T., Ding, D., Yu, S.,… & Hao, J. The quest for improved air quality may push China to continue its CO₂ reduction beyond the Paris Commitment, Proceedings of the National Academy of Sciences, 2020.

4. Xing, J., Li, S., Jiang, Y., Wang, S., Ding, D., Dong, Z., ... & Hao, J. Quantifying the emission changes and associated air quality impacts during the COVID-19 pandemic on the North China Plain: a response modeling study. Atmospheric Chemistry and Physics, 20(22), 14347-14359, 2020.

5. Xing, J., Li, S., Ding, D., Kelly, J. T., Wang, S., Jang, C., ... & Hao, J. Data assimilation of ambient concentrations of multiple air pollutants using an emission-concentration response modeling framework. Atmosphere, 11(12), 1289, 2020.

6. Liu, S., Xing, J., Wang, S., Ding, D., Cui, Y., & Hao, J. Health Benefits of Emission Reduction under 1.5° C Pathways Far Outweigh Climate-Related Variations in China. Environmental Science & Technology, 55(16), 10957-10966. 2021.

7. Liu, S., Xing, J., Sahu, S. K., Liu, X., Liu, S., Jiang, Y., ... & Wang, S. Wind-blown dust and its impacts on particulate matter pollution in northern China: current and future scenario. Environmental Research Letters, 2021.

8. Zhang, S., Sarwar, G., Xing, J., Chu, B., Xue, C., Sarav, A., ... & He, H. Improving the representation of HONO chemistry in CMAQ and examining its impact on haze over China. Atmospheric Chemistry and Physics, 21(20), 15809-15826, 2021.

9. Chen, L., Xing, J., Mathur, R., Liu, S., Wang, S., & Hao, J. Quantification of the enhancement of PM_2.5 concentration by the downward transport of ozone from the stratosphere. Chemosphere, 126907, 2020.

10. Tao, H., Xing, J., Zhou, H., Pleim, J., Ran, L., Chang, X., ... & Li, J. Impacts of improved modeling resolution on the simulation of meteorology, air quality, and human exposure to PM_2.5, O₃ in Beijing, China. Journal of Cleaner Production, 243, 118574, 2020.

11. Sahu, S. K., Chen, L., Liu, S., Ding, D., & Xing, J. The impact of aerosol direct radiative effects on PM2. 5-related health risk in Northern Hemisphere during 2013–2017. Chemosphere, 254, 126832, 2020.

12. Ding, D., Xing, J., Wang, S., Liu, K., & Hao, J. Estimated contributions of emissions controls, meteorological factors, population growth, and changes in baseline mortality to reductions in ambient PM_2.5 and PM_2.5-related mortality in China, 2013–2017. Environmental health perspectives, 127(6), 067009, 2019.