Lili Lei

Lili LEI

Professor

School of Atmospheric Sciences, Nanjing University

163 Xianlin Road, Nanjing, Jiangsu, 210023

lililei@nju.edu.cn

Education

2011	Ph.D. Pennsylvania State University, Meteorology
2006	M.S. Nanjing University, Meteorology
2004	B.S. Nanjing University, Atmospheric Sciences

Work Experience

2016 - present	Professor, School of Atmospheric Sciences, Nanjing University
2014 - 2016	Research Scientist, CIRES Climate Diagnostics Center, University of Colorado, and Physical Sciences Division, NOAA/Earth System Research Laboratory
2011 - 2014	Postdoctoral Fellow, Advanced Study Program, National Center for Atmospheric Research
2006 - 2011	Graduate Research Assistant, Pennsylvania State University, Department of Meteorology

Research Interests

Data assimilation, particularly ensemble-based techniques
Numerical weather prediction and climate modeling
Atmospheric predictability
Mesoscale dynamics

Teaching Interests

Data assimilation
Atmospheric dynamics

Selected Publications

1.	Ge, Y., L. Lei*, J. S. Whitaker, and Z.-M. Tan, 2022: The impact of incremental analysis update on regional simulations for typhoons. J. Adv. Model. Earth Syst., 14, e2022MS003084, doi: https://doi. org/10.1029/2022MS003084.
2.	Lei, L., Z. Wang, and Z.-M. Tan, 2021: Integrated hybrid data assimilation for an ensemble Kalman filter. Mon. Wea. Rev., 149, 4091-4105, doi: 10.1175/MWR-D-21-0002.1.
3.	He, H., L. Lei*, J. S. Whitaker, and Z.-M. Tan, 2020: Impacts of Assimilation Frequency on Ensemble Kalman Filter Data Assimilation and Imbalances. J. Adv. Model. Earth Syst., 12, e2020MS002187, doi: https://doi.org/10.1029/2020MS002187.
4.	Ren, S., L. Lei*, Z.-M. Tan, and Y. Zhang, 2019: Multivariate ensemble sensitivity analysis for super typhoon Haiyan (2013). Mon. Wea. Rev., 147, 3467-3480, doi: https://doi.org/10.1175/MWR-D-19-0074.1.
5.	Lei, L., J. S. Whitaker, and C. H. Bishop, 2018: Improving assimilation of radiance observations by implementing model space localization in an ensemble Kalman filter. J. Adv. Model. Earth Syst., 10, 3221-3233, https://doi.org/10.1029/2018MS001468.
6.	Lei, L., and J. S. Whitaker, 2017: Evaluating the trade-offs between ensemble size and ensemble resolution. J. Adv. Model. Earth Syst., 9, 781-789.
7.	Lei, L., and J. S. Whitaker, 2016: A four-dimensional incremental analysis update for the ensemble Kalman filter. Mon. Wea. Rev., 144, 2605-2621. http://dx.doi.org/10.1175/MWR-D-15-0246.1.
8.	Lei, L., and J. S. Whitaker, 2015: Model space localization is not always better than observation space localization for assimilation of satellite radiances. Mon. Wea. Rev., 143, 3948-3955, https://doi.org/10.1175/MWR-D-14-00413.1.
9.	Lei, L., and J. Anderson, 2014: Comparisons of empirical localization techniques for ensemble Kalman filters in a simple atmospheric general circulation model. Mon. Wea. Rev., 142, 739-754, https://doi.org/10.1175/MWR-D-13-00152.1.
10.	Lei, L., D. R. Stauffer, and A. Deng, 2012: A hybrid nudging-ensemble Kalman filter approach to data assimilation. Part II: application in a shallow-water model. Tellus, 64A, 18485, http://dx.doi.org/10.3402/tellusa.v64i0.18485.

Full Publications: https://scholar.google.com/citations?user=SFjwmrsAAAAJ&hl=en&oi=sra

Professional Activities

2019-	Member of the Data Assimilation and Observations Working Group, the World Weather Research Programme (WWRP)
2021-	Chair of the Data Assimilation and Ensemble Forecasting Working Group, China National Committee of World Weather Research Program (CNC-WWRP)
2021-	Editor of Advances in Atmospheric Sciences
2021-	Editor of Science China Earth Sciences
2015-2019,2021-	Associate editor of Monthly Weather Review
2021-	Associate editor of Journal of Advances in Modeling Earth Systems
2022-	Associate editor of Atmospheric Science Letters

Awards and Honors

2019	The National Science Fund for Excellent Youth Scholars
2018	Kamide Lecture, Asia Oceania Geosciences Society (AOGS)
2016	Tepin Professor, Jiangsu Province
2015	Deng Feng Scholar Program B, Nanjing University