1995.09-1999.06, 南京气象学院, 气候学, 学士；

2001.09-2004.06, 中国气象科学研究院, 气象学, 硕士；

2004.09-2007.06, 中国科学院大气物理研究所, 气象学,博士。

Han M., Y. Zhang, J. Peng. How the enhanced East Asian summer monsoon regulates total gross primary production in eastern China. Advances in Climate Change Research, 2024, 15(2): 244–252.

Liang M., Y. Zhang, Q. Ma, et al. Dramatic decline of observed atmospheric CO₂ and CH₄ during the COVID-19 lockdown over the Yangtze River Delta of China. Journal of Environmental Sciences, 2023, 124, 712–721. 

Zhou Q., L. Cheng, Y. Zhang, et al. Relationships between Springtime PM_2.5, PM₁₀, and O₃ Pollution and the Boundary Layer Structure in Beijing, China. Sustainability, 2022, 14, 1–15.

Zhang Y., J. Jin, P. Yan, et al. The long-term variations of major atmospheric compositions observed at the background stations in three key areas of China. Advances in Climate Change Research, 2020, 11(4): 370–380.

Zhang Y., L. Gao, L. Cao, et al. Decreasing atmospheric visibility associated with weakening winds from 1980 to 2017 over China. Atmospheric Environment, 2020, 224, doi: 10.1016/j.atmosenv.2020.117314.

Zhou Q., Y. Zhang, S. Jia, et al. Climatology of cloud vertical structures from long-term high-resolution radiosonde measurements in Beijing. Atmosphere, 2020, 11(4): 1–16.

Liang H., Y. Zhang, L. Cao, et al. Temporal relations between precipitable water vapour and precipitation during wet seasons based on nearly two decades of data from the Lhasa River valley, Tibetan Plateau. International Journal of Climatology, 2020, 40, 1656–1668.

Yang H., Y. Zhang, L. Li, et al. Characteristics of aerosol pollution under different visibility conditions in winter in a coastal mega-city in China. Journal of Tropical Meteorology, 2020, 26(2): 231–238.

Gao L., L. Cao, Y. Zhang, et al. Re-evaluating the distribution and variation characteristics of haze in China using different distinguishing methods during recent years. Science of the Total Environment, 2020, 732, 1–10.

Zhang Y., Y. Li, J. Guo, et al. The climatology and trend of black carbon in China from 12-year ground observations. Climate Dynamics, 2019, 53, 5881–5892.

Zhang Y., Q. Zhou, S. Lv, et al. Elucidating cloud vertical structures based on three-year Ka-band cloud radar observations from Beijing, China. Atmospheric Research, 2019, 222, 88–99.

Zhou Q., Y. Zhang, B. Li, et al. Cloud-base and cloud-top heights determined from a ground-based cloud radar in Beijing, China. Atmospheric Environment, 2019, 201, 381–390.

Zhang Y., L. Zhang, J. Guo, et al. The climatology of cloud base height from long-term radiosonde measurements in China. Advances in Atmospheric Sciences, 2018, 35(2): 158–168. (该论文荣获《大气科学进展》期刊2020年度优秀原创论文奖)

Zhang Y., G. Fan, Y. He, et al. Risk assessment of typhoon disaster for the Yangtze River Delta of China. Geomatics Natural Hazards & Risk, 2017, 8(2): 1580–1591.

Fan G., Y. Zhang, Y. He, et al. Risk assessment of drought in Yangtze River Delta based on natural disaster risk theory. Discrete Dynamics in Nature and Society, 2017, 5682180, 1–7.

Guo J., F. Xia, Y. Zhang, et al. Impact of diurnal variability and meteorological factors on the PM_2.5-AOD relationship Implications for PM_2.5 remote sensing. Environmental Pollution, 2017, 221, 94–104.

Cao L., Y. Zhang, Y. Shi. Climate change effect on hydrological processes over the Yangtze River basin. Quaternary International, 2011, 244, 202–210.

Zhang Y., Y. Xu, W. Dong, et al. Characteristics of maximum and minimum temperatures and diurnal temperature range variability over China under SRES B2 scenario. Chinese Journal of Geophysics, 2007, 50 (3): 632–642.

Zhang Y., Y. Xu, W. Dong, et al. A future climate scenario of regional changes in extreme climate events over China using the PRECIS climate model. Geophysical Research Letters, 2006, 33, L24702, doi: 10.1029/2006GL027229.

Xu Y., Y. Zhang, E. Lin, et al. Analyses on the climate change responses over China under SRES B2 scenario using PRECIS. Science Bulletin, 2006, 51(18): 2260–2267.

1.中国气象局气象部门优秀调研报告一等奖（2011年）；

2.《大气科学进展》期刊年度优秀原创论文奖（2020年）；

6.中国气象局气象部门优秀调研报告一等奖（2022年）。