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彭怡然

副教授

办公电话：

电子邮件: Pyiran@tsinghua.edu.cn

研究组主页:

教育背景
北京大学理学学士（1999）

加拿大戴尔豪斯大学大气科学博士（2004）
工作经历
 

德国马克思-普朗克气象研究所博士后（2004-2007）

加拿大气候与模式分析中心博士后、研究助理（2007-2013）

清华大学地球系统科学系副教授（2013至今）
研究兴趣
气溶胶与云的动力和物理过程及其在全球气候模式中的参数化。气溶胶对辐射和气候产生的直接和间接影响。
奖励荣誉

        


研究概况



    

            

                职称
                副教授
            
            
                办公电话
                
            

            

                电子邮件
                Pyiran@tsinghua.edu.cn
            
            
                研究组主页
                
            

            

                教育背景
                北京大学理学学士（1999）<br>
加拿大戴尔豪斯大学大气科学博士（2004）




            
            
                工作经历
                 

德国马克思-普朗克气象研究所博士后（2004-2007）<br>
加拿大气候与模式分析中心博士后、研究助理（2007-2013）<br>
清华大学地球系统科学系副教授（2013至今）


            

            

                研究兴趣
                气溶胶与云的动力和物理过程及其在全球气候模式中的参数化。气溶胶对辐射和气候产生的直接和间接影响。
            
            
                奖励荣誉
                
            

    





    


2020年


1. Wang, M., Y. Peng*, & Y. Liu, 2020. Contrasting aerosol effects on longwave cloud forcing in South East Asia and Amazon simulated with Community Atmosphere Model version 5.3. Journal of Geophysical Research: Atmosphere, doi: 10.1029/2020JD032380.


2. Guo, Z., M. Wang, Y. Peng*, & Y. Luo, 2020. Evaluation on the vertical distribution of liquid and ice phase cloud fraction in Community Atmosphere Model version 5.3 using spaceborne lidar observations. Earth and Space Science, 7, e2019EA001029. https://doi.org/10.1029/2019EA001029


3. Wang, M., Y. Peng*, Y. Liu, Yu Liu, X. Xie, & Z. Guo, 2020. Understanding cloud droplet spectral dispersion effect using empirical and semi‐analytical parameterizations in NCAR CAM5.3. Earth and Space Science, 7, e2020EA001276. https://doi.org/10.1029/2020EA001276


4. Lin, Y., X. Huang, Y. Liang, Y. Qin, S. Xu, W. Huang, F. Xu, L. Liu, Y. Wang, Y. Peng, & et al. 2020. Community Integrated Earth System Model (CIESM): Description and evaluation. Journal of Advances in Modeling Earth Systems, 12, e2019MS002036. https://doi.org/ 10.1029/2019MS002036


5. Liu, P., Y. Liu, Y. Peng, et al. 2020. Large influence of dust on the Precambrian climate. Nature Communication，11, 4427 (2020). https://doi.org/10.1038/s41467-020-18258-2


6. Wei, J., Li, Z., Cribb, M., Huang, W., Xue, W., Sun, L., Guo, J., Peng, Y., Li, J., Lyapustin, A., Liu, L., Wu, H., and Song, Y. 2020: Improved 1 km resolution PM2.5 estimates across China using enhanced space–time extremely randomized trees, Atmos. Chem. Phys., 20, 3273–3289, https://doi.org/10.5194/acp-20-3273-2020.


7. Wei, J., Li, Z., Sun, L., Peng, Y., Liu, L., He, L., Qin, W. and Cribb, M.: 2020. 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.


8. Wei, J., Li, Z., Lyapustin, A. Sun, L., Peng, Y., Xue, W., Su, T., and Cribb, M.: 2020. Reconstructing 1-km-resolution high-quality PM2.5 data records from 2000 to 2018 in China: spatiotemporal variations and policy implications, Remote Sensing of Environment, 252, 112136, https://doi.org/10.1016/j.rse.2020.112136.





2019年


9. Wei, J., Y. Peng*, L. Sun, and J. Guo, 2019. Validation and comparison of MODIS Collection 6.1 Level 3 atmospheric aerosol products in spatial distributions and trends over land, Atmospheric Environment, 206, 30-44, https://doi.org/10.1016/j.atmosenv.2019.03.001


10. Wei, J., Y. Peng*, L. Sun, and J. Guo, 2019. Validation and comparison of MODIS Collection 6.1 Level 3 atmospheric aerosol products in spatial distributions and trends over land, Atmospheric Environment, 206, 30-44, https://doi.org/10.1016/j.atmosenv.2019.03.001


11. Liu, X., Y. Zhang, Y. Peng, L. Xu, C. Zhu, F. Cao, X. Zhai, M. M. Haque, C. Yang, Y. Chang, T. Huang, Z. Xu, M. Bao, W. Zhang, M. Fan and X. Lee, 2019, Chemical and optical properties of carbonaceous aerosols in Nanjing, eastern China: regionally transported biomass burning contribution, Atmospheric Chemistry and Physics, 19, 11213-11233, https://doi.org/10.5194/acp-19-11213-2019.


12. Guo, J., H. Xu, L. Liu, D. Chen, Y. Peng, S. H.‐L. Yim, et al. 2019. The trend reversal of dust aerosol over East Asia and the North Pacific Ocean attributed to large‐scale meteorology, deposition, and soil moisture. Journal of Geophysical Research: Atmospheres, 124. https://doi.org/10.1029/2019JD030654
 


13. Wei, J., H. Wei, Z. Li, W. Xue, Y. Peng, L. Sun and M. Cribb, 2019, Estimating 1-km-resolution PM2.5 concentrations across China using the space-time random forest approach, Remote Sensing of Environment, 231, https://doi.org/10.1016/j.rse.2019.111221
 


14. Wei, J., Z. Li, Y. Peng and L. Sun, 2019. MODIS Collection 6.1 aerosol optical depth products over land and ocean: validation and comparison, Atmospheric Environment, 201, 428-440, https://doi.org/10.1016/j.atmosenv.2018.12.004.
 


15. Yang, Q., F. Zhang, H. Zhang, Z. Wang, J. Li, K. Wu, Y. Shi, and Y. Peng, 2019. Assessment of two-stream approximations in a climate model, Journal of Quantitative Spectroscopy and Radiative Transfer, 225, 25-34, Doi: 10.1016/j.jqsrt.2018.12.016.
 
 


2018年


16. Peng, Y., J. Zhao, Z. Sun, W. Zhao, X. Wei, and J. Li, 2018. Sensitivity of dust radiative forcing to representation of aerosol size distribution in radiative transfer model, Journal of Quantitative Spectroscopy and Radiative Transfer, 219, 292-303.
 


17. Zhao, W., Y. Peng*, B. Wang, and J. Li, Cloud longwave scattering effect and its impact on climate simulation, 2018. Atmosphere, 9, 153-173, doi:10.3390/atmos9040153.


18. Zhao, W., Y. Peng*, B. Wang, B. Yi, Y. Lin, and J. Li, 2018. Comparison of three ice cloud optical schemes in climate simulations with community atmospheric model version 5, Atmospheric Research, 204, 37-53.


19. Wei, J., L. Sun, Y. Peng*, L. Wang, Z. Zhang, M. Bilal, and Y. Ma, 2018. An improved high-spatial-resolution aerosol retrieval algorithm for MODIS images over land. Journal of Geophysical Research: Atmospheres, 123, https://doi.org/10.1029/2017JD027795.
 


20. Zhao, C., Y. Qiu, X. Dong, Z. Wang, Y. Peng, B. Li, Z. Wu, and Y. Wang, 2018. Negative aerosol-cloud re relationship from aircraft observations over Hebei, China, Earth and Space Science, 5, 19-29.


 


21. Chen, J., Y. Liu, M. Zhang, and Y. Peng, 2018. Height dependency of aerosol-cloud interaction regimes, Journal of Geophysical Research: Atmosphere, 123, doi: 10.1002/2017JD027431.


22. Xie, X., H. Zhang, X. Liu, Y. Peng and Y. Liu, 2018. Role of microphysical parameterizations with droplet relative dispersion in IAP AGCM 4.1, Advances in Atmospheric Science, 35, doi: 10.1007/s00376-017-7083-5.


 


23. Liu, Y., M. Zhang, Z. Liu, Y. Xia, Y. Huang, Y. Peng, and J. Zhu, 2018. A possible role of dust in resolving the Holocene temperature conundrum, Scientific Report, 8, 4434-4443.


24. Yang, Q., F. Zhang, H. Zhang, Z. Wang, J. Li, K. Wu, Y. Shi, and Y. Peng, 2018. Assessment of two-stream approximations in a climate model, Journal of Quantitative Spectroscopy and Radiative Transfer, 225, 25-34.



 2017年


25. Zhao, X., Y. Lin, Y. Peng, B. Wang, H. Morrison, and A. Gettelman, 2017. A single ice approach using varying ice particle properties in global climate model microphysics, Journal of Advances in Modeling Earth Systems, 9(5): 2138-2157.


26. Xie, X., H. Zhang, X. Liu, Y. Peng, and Y. Liu, 2017. Sensitivity study of cloud parameterizations with relative dispersion in CAM5.1: impacts on aerosol indirect effects, Atmospheric Chemistry and Physics, 17, doi: 10.5194/acp-17-5877-2017.



 2016年


27. Arora, V., Y. Peng, W. Kurz, J. Fyfe, B. Hawkins, and A. Werner, 2016. Potential near-future carbon uptake overcomes losses from a large insect outbreak in British Columbia, Canada, Geophysical Research Letters, 43, doi:10.1002/2015GL067532.


28. Chen, J., Y. Liu, M. Zhang, and Y. Peng, 2016. New understanding and quantification of the regime dependence of aerosol-cloud interaction for studying aerosol indirect effects, Geophysical Research Letters, 43, doi:10.1002/2016GL067683.


 


29. Dong, W., Y. Lin, J. Wright, Y. Ming, Y. Xie, B. Wang, Y. Luo, W. Huang, J. Huang, L. Wang, L. Tian, Y. Peng, and F. Xu, 2016. Summer rainfall over the southwestern Tibetan Plateau controlled by deep convection over the Indian subcontinent, Nature Communication, 7, 10925-10933.
 
 


2015年及以前


30. Li, J., Q. Min, Y. Peng, Z. Sun, and J. Zhao, 2015. Accounting for dust aerosol size distribution in radiative transfer, Journal of Geophysical Research: Atmosphere, 120, 6537–6550, doi:10.1002/2015JD023078.


31. Peng, Y., V. Arora, W. Kurz, R. Hember, B. Hawkins, J. Fyfe, and A. Werner, 2014. Climate and atmospheric drivers of historical terrestrial carbon uptake in the province of British Columbia, Canada, Biogeosciences, 11, 635-649, doi:10.5194/bg-11-635-2014.
 


32. Li, J., K. von Salzen, Y. Peng, H. Zhang, and X. Liang, 2013. Evaluation of black carbon semi-direct radiative effect in a climate model, Journal of Geophysical Research: Atmosphere, 118, 4715-4728, doi:10.1002/jgrd.50327.


33. Xie, X., X. Liu, Y. Peng, Y. Wang, Z. Yue, and X Li, 2013. Numerical simulation of clouds and precipitation depending on different relationships between aerosol and cloud droplet spectral dispersion, Tellus B, 65, http://dx.doi.org/10.3402/tellusb.v65i0.19054.


34. Peng, Y., K. von Salzen and J. Li, 2012. Simulation of mineral dust aerosol with piecewise log-normal approximation (PLA) in CanAM4-PAM, Atmospheric Chemistry and Physics, 12, 6891-6914.


35. Liu, Y., P. Daum, H. Guo and Y. Peng, 2008. Dispersion bias, dispersion effect, and the aerosol-cloud conundrum, Environmental Research Letters, 3(4), http://dx.doi.org/10.1088/1748-9326/3/4/045021


36. Cheng, T., Y. Peng*, J. Feichter and I. Tegen, 2008. An improvement on the dust emission scheme in the global aerosol-climate model ECHAM5-HAM, Atmospheric Chemistry and Physics, 8, 1105-1117.


37. Peng, Y., U. Lohmann, R. Leaitch and M. Kulmala, 2007. An investigation into the aerosol dispersion effect through the activation process in marine stratus clouds, Journal of Geophysical Research: Atmosphere, 112, doi:10.1029/2006JD007401.


38. Peng, Y., U. Lohmann and R. Leaitch, 2005. Importance of vertical velocity variations in the cloud droplet nucleation process of marine stratus clouds, Journal of Geophysical Research: Atmosphere, 110, doi: 10.1029/2004JD004922.


39. Peng, Y. and U. Lohmann, 2003. Sensitivity study of the spectral dispersion of the cloud droplet size distribution on the indirect aerosol effect, Geophysical Research Letters, 30, doi: 10.1029/2003GL017192.


40. Peng, Y., U. Lohmann and R. Leaitch, C. Banic and M. Couture, 2002. The cloud albedo-cloud droplet effective radius relationship for clean and polluted clouds from RACE and FIRE.ACE, Journal of Geophysical Research: Atmosphere, 107, doi: 10.1029/2000JD000281.