清华大学彭怡然--中文主页--学术论文

彭怡然

副教授

个人信息

电子邮箱：

学科：大气科学

中文主页 > 科学研究 > 学术论文

部分已发表论文：
2022年
1. Wang, H., Peng, Y*., von Salzen, K*., Yang, Y., Zhou, W., and Zhao, D.: Evaluation of a Quasi-steady state approximation of the cloud Droplet Growth Equation (QDGE) scheme for aerosol activation in global models using multiple aircraft data over both continental and marine environments, Geosci. Model Dev., 2022, https://doi.org/10.5194/gmd-2021-148
2. Wang, H., Zhang, M., Peng, Y*., Duan, J*. Analyzing the Characteristics of Cloud Condensation Nuclei (CCN) in Hebei, China using Multi-Year Observation and Reanalysis Data. Atmosphere 2022, 13, 468. https://doi.org/10.3390/atmos13030468
2021年
3. Xu, L., Y. Peng*, K. Ram, Y. Zhang, M. Bao, & J. Wei, 2021. Investigation of the uncertainties of simulated optical properties of brown carbon at two Asian sites using a modified bulk aerosol optical scheme of the Community Atmospheric Model version 5.3. Journal of Geophysical Research: Atmospheres, 126, e2020JD033942. https://doi.org/10.1029/2020JD033942
4. Zhang, Y., Y. Peng*, W. S, Y. Zhang, P. Ponsawansong, T. Prapamontol, Y. Wang, 2021, Contribution of brown carbon to the light absorption and radiative effect of carbonaceous aerosols from biomass burning emissions in Chiang Mai, Thailand , Atmos. Environ., 260(2021), https://doi.org/10.1016/j.atmosenv.2021.118544
5. Geng, G., Q. Xiao, S. Liu, X. Liu, J. Cheng, Y. Zheng, T. Xue, D. Tong, B. Zheng, Y. Peng, X. Huang, K. He, and Q. Zhang, 2021, Tracking Air Pollution in China: Near Real-Time PM2.5 Retrievals from Multisource Data Fusion, Environ. Sci. Technol. 2021, 55, 12106−12115, https://doi.org/10.1021/acs.est.1c01863
6. Liu, Y., P. Liu, D. Li, Y. Peng, and Y. Hu, 2021, Influence of Dust on the Initiation of Neoproterozoic Snowball Earth Events, J. Climate, 34(16), 6673-6689, https://doi.org/10.1175/JCLI-D-20-0803.1
7. Wei, J., Li, Z., Sun, L., Peng, Y., Liu, L., He, L., Qin, W. and Cribb, M.: 2021. MODIS Collection 6.1 3 km resolution aerosol optical depth product: global evaluation and uncertainty analysis, Atmos. Environ., 240, 117768, https://doi.org/10.1016/j.atmosenv.2020.117768.

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