邢佳-pg麻将胡了模拟器链接

2002.9-2006.7 清华大学环境科学与工程系 学士

2006.9-2011.7 清华大学环境科学与工程系 博士

2018-            清华大学环境学院                        副教授

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

2016-2018    清华大学环境学院                        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.