雷荔傈 - 南京大学 - 大气科学学院

个人简介

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-present Professor, 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 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

研究领域

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

近期论文

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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 simulations. Geophysical Research Letters, 47, e2020GL089030. L. Lei, J. 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., 12, e2019MS001693. 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 Science, 8, 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.