雷荔傈  

Curriculum Vitae 

Lili Lei 

School of Atmospheric Sciences, Nanjing University

163 Xianlin Road, Nanjing, Jiangsu, 210023

Tel: 13182909059; email: lililei<at>nju<dot>edu<dot>cn

 





Education 

2011      Ph.D. Pennsylvania State University, Meteorology

2006      M.S. Nanjing University, Meteorology

2004      B.S. Nanjing University, Atmospheric Sciences

 

Professional Experience 

2016/03-presentProfessor, Nanjing University
2014-2016Research Scientist, CIRES Climate Diagnostics Center,  University of Colorado, and Physical Sciences Division, NOAA/Earth  System Research Laboratory
2011-2014Postdoctoral Fellow, Advanced Study Program, National Center for Atmospheric Research
2006-2011Graduate  Research  Assistant,  Pennsylvania  State  University, Department of Meteorology

 

Meteorology Courses 

Dynamic Meteorology 

Data Assimilation

 

Research Interests 

(1) Data assimilation, particularly ensemble-based techniques;

(2) Numerical weather prediction and climate modeling; 

(3) Atmospheric predictability.

 

Journal Publications 

  • H. He, 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.

  • Z. Peng, L. Lei*, Z. Liu, H. Liu, K. Chu, and X. Kou, 2020: Impact of assimilating meteorological observations on source emissions estimate and chemical simulationsGeophysical Research Letters, 47e2020GL089030.

  • L. LeiJ. S. Whitaker, J. A. Anderson, and Z.-M. Tan, 2020: Adaptive localization for satellite radiance observations in an ensemble Kalman filter. J. Adv. Model. Earth Syst., 12e2019MS001693.

  • Wang, C., L. Lei*, Z.-M. Tan, and K. Chu, 2020: Adaptive localization for Tropical cyclones with satellite radiances in an ensemble Kalman filter. Frontiers in Earth Science8, 39.

  • Lei, L., Y. Ge, Z.-M. Tan, and X. Bao, 2019: An evaluation and improvement of tropical cyclone prediction in the western North Pacific basin from global ensemble forecasts. Sci. China Earth Sci. 63, 12-26.

  • 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.

  • Peng, Z., L. Lei, Z. Liu, J. Sun, A. Ding, J. Ban, D. Chen, X. Kou, and K. Chu, 2018: The impact of multi-species surface chemical observations assimilation on the air quality forecasts in China. Atmos. Chem. Phys. Discuss., 18, 17387-17404. 

  • 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. 

  • Chu, K., Z. Peng, Z. Liu, L. Lei, X. Kou, Y. Zhang, X. Bo, and J. Tian, 2018: Evaluating the impact of emissions regulations on the emissions reduction during the 2015 China Victory Day Parade with an ensemble square root filter. J. Geophys. Res. Atmospheres, 123, 4122-4131. 

  • 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.   

  • Bishop, C. H., J. S. Whitaker, and L. Lei , 2017: Gain form of the ensemble transform Kalman filter and its relevance to satellite data assimilation with model space ensemble covariance localization.  Mon. Wea. Rev.,  145 , 4575-4592. 

  • Lei, L., J. L. Anderson, and J. S. Whitaker, 2016:  Localizing the impact of satellite radiance observations using a global  group ensemble filter. Submitted to Adv. Model. Earth Syst.

  • Lei, L., and J. S. Whitaker, 2016: A four-dimensional incremental analysis update for the ensemble Kalman filter. Submitted to  Wea. Rev.

  • Zagar, Nedjeljka, J. L. Anderson, N. Collins, T. Hoar, K. Reader,  Lei,  and J. Tribbia, 2016: Scale-dependent representation of the information  content of observations in the global ensemble Kalman filter data  assimilation. Submitted to Mon. Wea. Rev.

  • Lei, L., and J. S. Whitaker, 2015: Model space  localization is not always better than observation space localization  for assimilation of satellite radiances. Wea. Rev., 143, 3948-3955.

  • Lei, L., J. L. Anderson and G. S. Romine, 2015:  Empirical localization functions for ensemble Kalman filter data  assimilation in regions with and without precipitation.  Wea. Rev.,143, 3664-3679.

  • Lei, L., and J. P. Hacker, 2015: Nudging, ensemble, and nudging-ensembles for data assimilation in the presence of model error.  Wea. Rev.,143, 2600-2610.

  • Hacker, J. P., and  Lei, 2015: Multivariate Ensemble Sensitivity with Localization. Mon. Wea. Rev.,143, 2013–2027.

  • Lei, L., and J. L. Anderson, 2014: Impacts of frequent assimilation of surface pressure observations on atmospheric analyses.  Wea. Rev.,142, 4477–4483.

  • Lei, L., and J. L. Anderson, 2014: Empirical  localization of observations for serial ensemble Kalman filter data  assimilation in an atmospheric general circulation model.  Wea. Rev., 142, 1835-1851.

  • 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.

  • Anderson, J., and  Lei, 2013: Empirical localization of observation impact in ensemble Kalman filters. Mon. Wea. Rev., 141, 4140-4153.

  • Lei, L., D. R. Stauffer, S. E. Haupt, and G. S.  Young, 2012: A hybrid nudging-ensemble Kalman filter approach to data  assimilation. Part I: application in the Lorenz system. Tellus,64A, 18484, http://dx.doi.org/10.3402/tellusa.v64i0.18484.

  • 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.

  • Lei, L., D. R. Stauffer, and A. Deng, 2012: A hybrid nudging-ensemble Kalman filter approach to data assimilation in WRF/DART.  J. R. Meteorol. Soc.,138, 2066-2078.

  • Lei, L., and Z. Tan, 2008: On adaptive observation and adaptive observation Scientia Meteorologica Sinica, 28(1), 109-118.

 

Professional Activities 

  • Member of the Data Assimilation and Observations Working Group, the World Weather Research Programme (WWRP), 2019-

  • Editor of Advances in Atmospheric Sciences, 2021-

  • Associate editor of Monthly Weather Review, 2015-2019, 2021-

  • Associate editor of Journal of Advanced Modeling of Earth Systems, 2021-

  • Associate editor of Frontiers in Applied Mathematics and Statistics, 2018- 

 

Honors and Awards 

2019      Excellent Young Scholar, NSFC

2018      Kamide Lecture, Asia Oceania Geosciences Society (AOGS) 

2016      Tepin Professor, Jiangsu Province 

2015      Deng Feng Scholar Program B, Nanjing University 



 


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