林光星
博士
教授
南强青拔A类人才、国家高层次青年人才获得者
Dr.
Guangxing Lin
Professor
College of Ocean and Earth Sciences, Xiamen University
Tel:
Fax:
Email:
linguangxing@xmu.edu.cn
|
个人履历
Brief CV
- 2024.04---, Professor, Xiamen University, Xiamen, China.
- 2020.12---2024.03, Scientist, Institute of Atmospheric Physics, CAS, Beijing, China.
- 2018.10---2020.11, Earth Scientist, Pacific Northwest National Laboratory, Richland, WA, USA.
- 2015.06---2018.09, Postdoc Research Fellow, Pacific Northwest National Laboratory, Richland, WA, USA.
- 2013.09---2015.05, Postdoc Research Fellow, University of Michigan, Ann Arbor, MI, USA.
- 2007.09---2013.08, Ph.D., University of Michigan, Ann Arbor, MI, USA.
- 2004.09---2007.07, M.S., Peking University, Beijing, China.
- 2000.09---2004.06, B.S., Peking University, Beijing, China.
研究方向
Research Interests
- 高分辨率地球系统模式开发与应用 High resolution earth system model development and application
- 大气气溶胶-云-降水相互作用 Aerosol-cloud-precipiation interactions
- 大气气溶胶物理化学过程 Aerosol microphysics and chemistry
- 全球变化下的极端天气气候 Extreme weather and climate events
代表性论文
Selected Publications
- Xu, L., Lin, G., Liu, X., Wu, C., Wu, Y., &
Lou, S. (2024). Constraining light
absorption of brown carbon in China and
implications for aerosol direct radiative
effect. Geophysical Research Letters, 51,
e2024GL109861. https://doi.org/10.1029/
2024GL109861
- Lin, G., Leung, L. R., Lee, J., Harrop, B. E., Baker, I. T., Branson, M. D., et al.. Modeling land-atmosphere coupling at cloud-resolving scale within the multiple atmosphere multiple land (MAML) framework in SP-E3SM. Journal of Advances in Modeling Earth Systems, 15, e2022MS003101, 2023. https://doi.org/10.1029/2022MS003101.
- Lin G., Jones, C.R., Leung, L.R., Feng, Z., and Ovchinnikov M.: Mesoscale convective systems in a superparameterized E3SM simulation at high resolution. Journal of Advances in Modeling Earth Systems, https://doi.org/10.1029/2021MS002660, 2022.
- Lin, G., J. Fan, Z. Feng, W. I. Gustafson Jr. P.-L. Ma, and K. Zhang: Can the Multiscale Modeling Framework (MMF) simulate the MCS-associated precipitation over the Central United States? Journal of Advances in Modeling Earth Systems, https://doi.org/10.1029/2019MS001849, 2019.
- Lin, G., S. J. Ghan, M. Wang, P.-L. Ma, R. Easter, M. Ovchinnikov, J. Fan, K. Zhang, H. Wang, D. Chand, and Y. Qian: Development and evaluation of an explicit treatment of aerosol processes at cloud scale within a multi-scale modeling framework (MMF). J. Adv. Mod. Earth Sys., 10, 1663–1679. https://doi.org/10.1029/2018MS001287, 2018.
- Lin, G., Wan, H., Zhang, K., Qian, Y., and Ghan, S.: Can nudging be used to quantify model sensitivities in precipitation and cloud forcing?, J. Adv. Model. Earth Syst., 8, 1073–1091, doi:10.1002/2016MS000659. 2016.
- Lin, G., Penner, J. E., Flanner, M. G., Sillman, S., Xu, L., and Zhou, C.: Radiative forcing of organic aerosol in the atmosphere and on snow: Effects of SOA and brown carbon, J. Geophys. Res. Atmos.,119, doi:10.1002/2013JD021186, 2014.
- Lin, G., Sillman, S., and Penner, J. E., and Ito, A.: Global modeling of SOA: the use of different mechanisms for aqueous phase formation, Atmos. Chem. Phys., 14, 5451-5475, doi:10.5194/acp-14-5451-2014, 2014.
- Lin, G., Penner, J. E., Sillman, S., Taraborrelli, D., and Lelieveld, J.: Global modeling of SOA formation from dicarbonyls, epoxides, organic nitrates and peroxides, Atmos. Chem. Phys., 12, 4743-4774, doi:10.5194/acp-12-4743-2012, 2012.
学术任职
Affiliations/Service
- Memeber of American Geophysical Union, European Geosciences Union, Asia Oceania Geosciences Society
- Conference Session Organizer: AGU meeting, AOGS meeting, and etc.
- Associate editor: Frontiers in Environmental Science
Our scientific goals are to understand
- the lifecyce of atmospheric aerosols
- the interactions between aerosol and cloud
- the extreme precipitation under climate change
Our approach involves
- modeling atmospheric aerosols, weather and climate at global, regional, and local scales
- analyses of atmospheric observations from ground-based sites, aircrafts, and satellites
- development of aerosol-meteorology/climate models
- use of machine learning
We are recruiting undergrads, graduate students, and research assistants!
课题组诚招科研助理，本科生、硕士、博士和博士后。欢迎各位感兴趣的有志青年加入！
|