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个人简介

陕西西安人,南京大学大气科学学院副教授。本科毕业于西北大学,硕士和博士分别毕业于比利时鲁汶大学和北京师范大学。曾就职于陕西省气象科学研究所,分别担任工程师、高级工程师等职务,2021年正式进入南京大学工作。主持国家自然科学基金面上项目2项,骨干身份参加国家级项目5项,取得4项软件著作权登记。在卫星定量反演云微物理参数、气溶胶-云相互作用等方面取得了很多成果,迄今已经发表论文40余篇,其中SCI论文近30篇,SCI总引用600余次,H-index为12。 教育、访学经历  博士 全球变化与地球科学系统学研究院 北京师范大学  硕士 Advanced Studies Master of Science in Earth Observation 比利时鲁汶大学  本科 地理信息系统与地图学 西北大学  访问学者 以色列希伯来大学 导师:Daniel Rosenfeld教授 工作经历  2002 - 2021 陕西省气象科学研究所  2008 - 2009 EUROPEAN COMMISSION, DIRECTORATE GENERAL JRC, JOINT RESEARCH CENTRE-ISPRA,研究助理  2021 - 至今 南京大学大气科学学院 研究经历 1. 2021.01-2024.12,东亚海洋低云气溶胶-云-辐射卫星观测定量研究, 国家自然基金面上项目,总经费70万,主持; 2. 2016.01-2019.12,夏季秦岭地形降水机理观测与模拟研究,国家自然基金面上项目,总经费95万,主持; 3. 2018.12-2021.12,人工影响天气基础理论、数值模式技术研究——冰雹云研究,科技部国家重点研发计划,经费:1295(245万),参与,项目冰雹云研究课题核心骨干。主要负责卫星反演冰雹云云微物理特征,云相态识别算法开发等; 4. 2015.10-2018.09,中国和以色列气溶胶-云-降水相互作用的定量研究,国家自然基金国际合作与交流项目,总经费240万,参加,核心骨干; 5. 2013.01-2017.12,秦巴山区云降水梯度观测与应用研究,科技部公益性行业专项重点项目,总经费448万,参加,核心骨干; 6. 2014.01-2017.12,第三次青藏高原科学试验-边界层与对流层观测,云微物理观测和卫星反演专题,科技部公益性行业专项重大项目,总经费34万,参加,核心骨干; 7. 2014.01-2017.12,南方大范围云系人工增雨作业潜力与作业技术研究,云微物理结构的卫星反演技术研究专题,科技部公益性行业专项,总经费30万,参加,核心骨干; 8. 2009.09-2011.12,基于GIS的陕西省精细化农业气候资源及区划,陕西省科学技术厅陕西“13115”科技创新工程重大科技项目,总经费65万,参加,核心骨干; 9. 2012.01-2012.12,污染气溶胶对关中地区云降水的影响,陕西省气象局,0.7万,主持; 10. 2010.01-2012.12,秦巴山区可降水云的云微物理及云降水过程综合分析,国家自然科学基金面上项目,55万,参加; 11. 2010.01-2010.12,秦岭地区气溶胶与雾的影响的研究,陕西省气象局,0.6万,主持; 12. 2009.01-2009.12,人工增雨作业条件的卫星反演应用研究,中国国家气象局,10万,参加 13. 2003.01-2004.12,人工消冷雾新技术试验与研究,科技部,50万,参加; 14. 2002.01-2004.12, 陕南秦巴山区中草药气象服务业务系统建设及推广,陕西省气象局,8万,参加; 研究经历 1. 2021: 第十三届“陕西青年科技标兵” (全省15人) 2. 2021: 第十三届陕西青年科技奖获 (全省100人) 3. 2016: 陕西省科学技术奖,三等奖(排名3) 4. 2013:陕西省农业技术推广成果奖,二等奖(排名6) 5. 2013:陕西省科学技术奖,二等奖(排名8) 6. 2012:陕西省科学技术奖,三等奖,(排名6) 7. 2012:陕西省农业技术推广成果奖,一等奖(排名11) 8. 2010:陕西省农业技术推广成果奖,二等奖(排名7) 9. 2018.06:陕西省气象局第一批副首席科学技术专家 10. 2012.01:陕西省‘三五’人才工程第三层次 11. 2012.08-2015.12:秦巴山区云降水机理研究创新团队,核心骨干 12. 2016.08-2017.12:云降水与卫星反演创新团队,核心骨干 13. 2015:陕西省气象局第二批青年拔尖人才

研究领域

主要围绕气溶胶-云-降水相互作用,卫星反演云微物理参数,卫星定量应用等方面展开

近期论文

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1. Hu, S., Zhu, Y*., Rosenfeld, D., Mao, F., Lu, X., Pan, Z., ... & Gong, W. (2021). The Dependence of Ship‐Polluted Marine Cloud Properties and Radiative Forcing on Background Drop Concentrations. Journal of Geophysical Research: Atmospheres, 126(7), e2020JD033852. 2. Wang, Y., Zhu*, Y., Wang, M., Rosenfeld, D., Gao, Y., Yao, X., ... & Wang, J. (2021). Validation of satellite-retrieved CCN based on a cruise campaign over the polluted Northwestern Pacific ocean. Atmospheric Research, 105722. 3. Lu, X., Mao, F., Rosenfeld, D., Zhu, Y*., Pan, Z., & Gong, W. (2021). Satellite retrieval of cloud base height and geometric thickness of low-level cloud based on CALIPSO. Atmospheric Chemistry and Physics Discussions, 1-26. 4. Rosenfeld, D¶., Zhu Y¶., Wang M., Zheng Y., Goren T., & Yu S. (2019), Aerosol-driven droplet concentrations dominate coverage and water of oceanic low-level clouds, Science, 363(6427), eaav0566. (¶ equally contribution) 5. Zhu, Y., Rosenfeld, D., & Li, Z. (2018). Under what conditions can we trust retrieved cloud drop concentrations in broken marine stratocumulus? Journal of Geophysical Research: Atmospheres, DOI: 10.1029/2017JD028083 6. Zhu, Y., Rosenfeld, D., Yu, X., & Li, Z. (2015). Separating aerosol microphysical effects and satellite measurement artifacts of the relationships between warm rain onset height and aerosol optical depth. Journal of Geophysical Research: Atmospheres, 120(15), 7726-7736. 7. Zhu, Y., Rosenfeld, D., Yu, X., Liu, G., Dai, J., & Xu, X. (2014). Satellite retrieval of convective cloud base temperature based on the NPP/VIIRS Imager. Geophysical Research Letters, 41(4) 8. Zheng, C., Zhao, C*., Zhu, Y*., Wang, Y., Shi, X., Wu, X., ... & Qiu, Y. (2017). Analysis of influential factors for the relationship between PM2.5 and AOD in Beijing. Atmospheric Chemistry and Physics, 17(21), 13473-13489. 9. Zheng, Y., Zhu, Y., Rosenfeld, D., & Li, Z. (2021). Climatology of marine shallow-cloud-top radiative cooling. Earth and Space Science Open Archive ESSOAr. 10. Cao, Y., Wang, M., Rosenfeld, D., Zhu, Y., Liang, Y., Liu, Z., & Bai, H. (2021). Strong Aerosol Effects on Cloud Amount Based on Long‐Term Satellite Observations Over the East Coast of the United States. Geophysical Research Letters, 48(6), e2020GL091275. 11. Hu, J., Rosenfeld, D., Zhu, Y., Lu, X., & Carlin, J. (2021). Multi-channel Imager Algorithm (MIA): A novel cloud-top phase classification algorithm. Atmospheric Research, 105767. 12. Pan, Z., Rosenfeld, D., Zhu, Y., Mao, F., Gong, W., Zang, L., & Lu, X. (2021). Observational Quantification of Aerosol Invigoration for Deep Convective Cloud Lifecycle Properties Based on Geostationary Satellite. Journal of Geophysical Research: Atmospheres, 126(9), e2020JD034275. 13. Liu, Z., Wang, M., Rosenfeld, D., Zhu, Y., Bai, H., Cao, Y., & Liang, Y. (2020). Evaluation of cloud and precipitation response to aerosols in WRF‐Chem with satellite observations. Journal of Geophysical Research: Atmospheres, 125(18), e2020JD033108. 14. Wang, J., Yue, Z., Rosenfeld, D., Zhang, L., Zhu, Y., Dai, J., ... & Li, J. (2021). The Evolution of an AgI Cloud‐Seeding Track in Central China as Seen by a Combination of Radar, Satellite, and Disdrometer Observations. Journal of Geophysical Research: Atmospheres, 126(11), e2020JD033914. 15. Zang, L., Rosenfeld, D., Mao, F., Pan, Z., Zhu, Y., Gong, W., & Wang, Z. (2021). CALIOP retrieval of droplet effective radius accounting for cloud vertical homogeneity. Optics Express, 29(14), 21921-21935. 16. Efraim,A., Rosenfeld, D*., Schmale,J., Zhu, Y., Satellite retrieval of cloud condensation nuclei concentrations in marine stratocumulus by using clouds as CCN chambers. Journal of Geophysical Research: Atmospheres, Accepted. 17. Fan, C., Wang, M., Rosenfeld, D., Zhu, Y., Liu, J., & Chen, B. (2020). Strong Precipitation Suppression by Aerosols in Marine Low Clouds. Geophysical Research Letters. 18. Liu, C., Wang, T., Rosenfeld, D., Zhu, Y., Yue, Z., Yu, X., ... & Niu, S. (2020). Anthropogenic effects on Cloud condensation nuclei distribution and rain initiation in East Asia. Geophysical Research Letters, 47(2), e2019GL086184. 19. Mehmood, K., Wu, Y., Wang, L., Yu, S., Liu, P., Chen, X., Zhu, Y.,... & Wang, Y. (2020). Relative effects of open biomass burning and open crop straw burning on haze formation over central and eastern China: modeling study driven by constrained emissions. Atmospheric Chemistry and Physics, 20(4), 2419-2443. 20. Yue, Z., Yu, X., Liu, G., Dai, J., Zhu, Y., Xu, X., ... & Chen, C. (2019). Microphysical properties of convective clouds in summer over the Tibetan Plateau from SNPP/VIIRS satellite data. Journal of Meteorological Research, 33(3), 433-445. 21. Zheng, Y., Rosenfeld, D., Zhu, Y., & Li, Z. (2019). Satellite‐based estimation of cloud top radiative cooling rate for marine stratocumulus. Geophysical Research Letters, 46(8), 4485-4494. 22. Lu, X., Mao, F., Pan, Z., Gong, W., Zhu, Y., & Yang, J. (2019). Enhancement of Atmospheric Stability by Anomalous Elevated Aerosols during winter in China. Journal of Geophysical Research: Atmospheres. 23. Yue, Z., Rosenfeld, D., Liu, G., Dai, J., Yu, X., Zhu, Y., . . . Lauer, O. (2019). Automated Mapping of Convective Clouds (AMCC) Thermodynamical, Microphysical and CCN Properties from SNPP/VIIRS Satellite Data. Journal of applied meteorology and climatology. 1308-1313. 24. Guo, P., Yu, S., Wang, L., Li, P., Li, Z., Mehmood, K., Chen, X., Liu, W., Zhu, Y., Yu, X. & Alapaty, K. (2019). High-altitude and long-range transport of aerosols causing regional severe haze during extreme dust storms explains why afforestation does not prevent storms. Environmental Chemistry Letters, 17(3), 1333-1340. 25. Rosenfeld, D., Zheng, Y., Hashimshoni, E., Pöhlker, M. L., Jefferson, A., Pöhlker, C., Xing Yu., Zhu, Y.,... & Fischman, B. (2016). Satellite retrieval of cloud condensation nuclei concentrations by using clouds as CCN chambers. Proceedings of the National Academy of Sciences, 113(21), 5828-5834. 26. Rosenfeld, D., Liu, G., Yu, X., Zhu, Y., Dai, J., Xu, X., & Yue, Z. (2014). High-resolution (375 m) cloud microstructure as seen from the NPP/VIIRS satellite imager. Atmospheric Chemistry and Physics, 14(5), 2479-2496. 27. Rosenfeld, D., Yu, X., Liu, G., Xu, X., Zhu, Y., Yue, Z., ... & Peng, Y. (2011). Glaciation temperatures of convective clouds ingesting desert dust, air pollution and smoke from forest fires. Geophysical Research Letters, 38(21). 28. Y. Zhu, J. Van Orshoven and B. Bossyns, 2007. DEFINITION of HRU (Hydrological Response Unit) using Area Fraction Images derived from Spectral Unmixing. Submitted for the 4th International SWAT (Soil and Water Assessment Tools) conference, July 2007.

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