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

Meteorology Courses

Dynamic Meteorology

Research Interests

(1) Data assimilation, particularly ensemble-based techniques; (2) Numerical weather prediction and climate modeling; (3) predictability; (4) Weather and climate interactions.

Journal Publications

• Lei, L., and J. S. Whitaker, 2017: Evaluating the trade-offs between ensemble size and ensemble resolution. J. Adv. Model. Earth Syst., 9, 719-734. doi:10.1002/2016MS0000864.

• 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. DOI: 10.1175/MWR-D-17-0102.1.

• 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.

Extended Abstracts

• Lei, L., and D. Stauffer, A hybrid nudging-ensemble Kalman filter approach in WRF/DART, 91st American Meteorological Society Annual Meeting, Seattle, WA, January 2011.

• Lei, L., and D. Stauffer, A hybrid ensemble Kalman filter approach in a two-dimensional shallow water model, 23nd conference on weather analysis and forecasting / 19th conference on numerical weather prediction, Omaha, NE, June

• Lei, L., and D. Stauffer, An incremental ensemble Kalman filter approach to data assimilation, 2008 chemical and biological defense physical science and technology conference, New Orleans, LA, November 2008.

• Lei, L., and D. Stauffer, 2007: A hybrid nudging-EnKF approach into data assimilation. 22nd conference on weather analysis and forecasting / 18thconference on numerical weather prediction, Park City, UT, June 2007.

Invited Talks

• Lei, L., Automated estimation of localization for ensemble Kalman filter data IMAGe Theme of the Year – Frontiers in Ensemble Data Assimilation for Geoscience Applications, Boulder, CO, August 3-7, 2015.

• Lei, L., Frontiers of ensemble data assimilation and its applications, Stony Brook University, NY, April 8, 2014.

• Lei, L., and J. L. Anderson, Impacts of Varying the Spatial Density and Temporal Frequency of Surface Pressure Observations on Atmospheric Uncertainty, IMA Predictability in Earth System Processes, Minneapolis, November 18-21, 2013.

• Lei, L., and D. Stauffer, Some innovation applications and approaches using nudging four dimensional data assimilation: Part II. A hybrid nudging-EnKF for improving data assimilation in the Lorenz and shallow water model, Conference on applied inverse problems, Vienna, Austria, July 20-24, 2009.

Oral and Poster Presentations

• Lei, L., J. L. Anderson, and J. S. Whitaker, Localizing the impact of satellite radiance observations using a global group ensemble filter, 96th AMS Annual Meeting, New Orleans, LA, January 10-14, 2016.

• Whitaker, J. S., and Lei, The tradeoffs between ensemble size and ensemble resolution, 96th AMS Annual Meeting, New Orleans, LA, January 10-14, 2016.

• Whitaker, J. S., and Lei, The impact of using model space localization vertical localization in the EnKF, 96th AMS Annual Meeting, New Orleans, LA, January 10-14, 2016.

• Lei, L., and J. S. Whitaker, An ensemble Kalman filter with four-dimensional incremental analysis update, 23rd Conference on Numerical Weather Prediction, Chicago, IL, June 29 – July 3, 2015.

• Lei, L., and J. S. Whitaker, Model space localization is not always better than observation space localization for assimilation of satellite radiances, 23rd Conference on Numerical Weather Prediction, Chicago, IL, June 29 – July 3, 2015.

• Lei, L., and J. S. Whitaker, A Four-Dimensional Ensemble Kalman Filter to data assimilation, 95th AMS Annual Meeting, Phoenix, AZ, January 4-8, 2015.

• Lei, L., and J. L. Anderson, Validation of a new algorithm for empirical localization of observations for ensemble Kalman filter data assimilation in global and regional atmospheric models, 6th EnKF Workshop, Buffalo, NY, May 18-22, 2014.

• Lei, L., and J. L. Anderson, Comparisons of ensemble filter localization functions for regions with and without precipitation, 94th AMS Annual Meeting, Atlanta, GA, February 2-6, 2014.

• Lei, L., and J. L. Anderson, Validation of a new algorithm for empirical localization of observations for ensemble Kalman filter data assimilation in a global atmospheric model, WMO sixth symposium on data assimilation, College Park MA, October 7-11, 2013.

• Lei, L., and J. L. Anderson, Comparisons of empirical localization techniques for ensemble Kalman filters in a simple atmospheric general circulation model, Second US-China symposium on meteorology and data assimilation, Qingdao, Shandong, June 25-27, 2013.

• Lei, L., and J. L. Anderson, An empirical localization for surface observation assimilation, 93rd AMS Annual Meeting, Austin, TX, January 5-10, 2013.

• L. Anderson and Lei, L., Adaptive localization of observation impact in ensemble data assimilation, 1st International Conference on Frontiers inComputational Physics: Modeling the Earth System, Boulder, CO, December 16-20, 2012.

• Lei, L., D. Stauffer, and A. Deng, A hybrid nudging-ensemble Kalman filter approach to data assimilation in WRF/DART, 13th WRF Users’ Workshop, Boulder, CO, June 26-29, 2012.

• Lei, L., G. Romine, J. L. Anderson and K. Raeder, Empirical localization of observations in global and regional models, 5th EnKF Workshop, Rensselaerville, NY, May 21-24, 2012.

• Lei, L., G. Romine, and J. L. Anderson, Surface data assimilation over complex terrain in an OSSE, A Symposium on Atmospheric Observing, Modeling, and Data Assimilation in Northern Utah, Salt Lake City, UT, February 23, 2012.

• Lei, L., and D. Stauffer, A hybrid nudging-ensemble Kalman filter approach to data assimilation in WRF/DART, 91st AMS Annual Meeting, Seattle, WA, January 22-27, 2011.

• Deng, A., D.R. Stauffer, B.J. Gaudet, B.P. Reen, Lei and R. Rogers, Overview of WRF-ARW FDDA capabilities and future research and development, 11th Annual WRF Users’ Workshop, Boulder, CO, June 21-25, 2010.

• Lei, L., and D. Stauffer, A hybrid ensemble Kalman filter approach to data assimilation, The 4th EnKF workshop, Rensselaerville, NY, April 6-9, 2010.

• Lei, L., and D. Stauffer, A hybrid ensemble Kalman filter approach in a two-dimensional shallow water model, 23rd conference on weather analysis and forecasting/19th conference on numerical weather prediction, Omaha, NE, June 1-5, 2009.

• Lei, L., and D. Stauffer, An incremental ensemble Kalman filter approach to data assimilation, 2008 chemical and biological defense physical science and technology conference, New Orleans, LA, November 12-21, 2008.

• Liu, Y., A. Bourgeois, W. Wu, F. Vandenberghe, M. Xu, G. Roux, J. Dudhia, J. Hacker, T. Warner, S. Swerdlin, Lei, A. Deng, and D.R. Stauffer, WRF observation-nudging updates, verification and future development plans, WRF Users’ Workshop, Boulder, CO, June 23-27, 2008.

• Reen, B.P, D.R. Stauffer, Lei and A. Deng, height diagnosis in WRF MYJ TKE scheme, Model Physics Working Group, WRF Users’ Workshop, Boulder, CO, June 23-27, 2008.

• Lei, L., and D. Stauffer, A hybrid nudging-EnKF approach into data assimilation, 23rd annual graduate exhibition, University Park, PA, March 2008.

• Lei, L., and D. Stauffer, A hybrid nudging-EnKF approach into data assimilation, First US-China symposium on meteorology and data assimilation, Norman, OK, February 26-28, 2008.

• Lei, L., and D. Stauffer, A hybrid nudging-EnKF approach into data assimilation, 2007-08 EMS graduate student poster exhibition, University Park, PA, September 2007.

• Lei, L., and D. Stauffer, A hybrid nudging-EnKF approach into data assimilation, 22nd conference on weather analysis and forecasting/18thconference on numerical weather prediction, Park City, UT, June 25-29, 2007.

Academic Activities

• Data Assimilation in Geosciences. University of Maryland, College Park, MA, June 3-14 2013.

• 15th Conference on Mountain Meteorology. Steamboat Springs, CO, August 20-24

• JCSDA Summer Colloquium on Data Assimilation. Stevenson, WA, July 7-17

Professional Activities

• Associate editor of Monthly Weather Review.

• Reviewer for Inverse Problems in Science and Engineering, Advances in Atmospheric Sciences, Meteorology and Atmospheric Physics, Monthly Weather Review, Weather and Forecasting, and Journal of Geophysical Research.

• Member of American Meteorological Society (AMS), 2007-present.

• Member of Chi Epsilon Pi Honor Society.

Honors and Awards

2006      Anne C. Wilson Graduate Fellowship, Pennsylvania State University

2004      Zhu Binghai Scholarship, Nanjing University

2003      First Prize in People’s Scholarship, Nanjing University

2002      First Prize in People’s Scholarship, Nanjing University

2001      First Prize in Mathematical Contest in Modeling of China

2001      First Prize in People’s Scholarship, Nanjing University

Computer Skills

Fortran, C, MATLAB, NCL, NCO, LINUX, Parallel computing, Shell script.