Professor, College of Atmospheric Sciences Lanzhou University 222 South Tianshui Road, Lanzhou, Gansu Province, P. R. of China, 730000
Phone:13659429856
E-mail:sam.lzu.edu.cn
EDUCATION:
Ph.D. in Meteorology, Lanzhou University, P. R. of China. Sep. 1999 - Nov. 2004. Degree received Dec. 2004. Dissertation title: “Study on Construction of a Doppler Radar Analysis and Assimilation System”. Adviser: Professor Chongjian Qiu
B.S. in Meteorology, Lanzhou University, P. R. of China. Sep. 1995 - Jun. 1999
PROFESSIONAL EMPLOYMENT:
Professor, College of Atmospheric Sciences, Lanzhou University. May 2010 - Present.
Associate Professor, College of Atmospheric Sciences, Lanzhou University. Dec. 2004 – Apr. 2010.
OVERSEA EXPERIENCE:
Visiting scholar, Center for Analysis and Prediction of Storms (CAPS), University of Oklahoma. Sep. 2007 – Oct. 2008.
HONORS AND AWARDS:
The second prize of achievements transformation awarded by China Meteorological Administration, 2016. The project title: The wind retrieval from Chinese radar network based on 3DVar.
Selected in “New century excellent talent support program” of the Ministry of Education in P. R. of China, 2012.
“The 7th national outstanding youth meteorological technology worker”, Chinese Meteorological Society, 2010
The second prize of natural science awarded by Ministry of Education, P. R. of China, 2008. The project title: Retrieval of Doppler radar data.
RESEARCH INTERESTS:
Atmospheric data analysis and assimilation; Numerical simulation
PUBLICATION:
1. Yue, X., Shao, A., Fang, X., & Li, L. (2018). Incorporating a large-scale constraint into radar data assimilation to mitigate the effects of large-scale bias on the analysis and forecast of a squall line over the Yangtze-Huaihe river basin. Journal of Geophysical Research: Atmospheres, 123, 8581–8598. https://doi.org/10.1029/2018JD028362
2. Fang, X., A. M. Shao, X. J. Yue, et al., 2018: Statistics of the Z–R relationship for strong convective weather over the Yangtze–Huaihe River basin and its application to radar reflectivity data assimilation for a heavy rain event. J. Meteor. Res., 32(4), 598–611, doi: 10.1007/s13351-018-7163-1.
3. Shao Aimei, Chongjian Qiu， Xuejiao Wang and Xuyuan Zhang, 2016: Using the Newtonian relaxation technique in numerical sensitivity studies. Science China Earth Sciences, 59(12), 2454-2462, doi: 10.1007/s11430-016-0033-3 （SCI）
4. Wang Yueya，Shao Aimei. 2016: Multiple-radar data assimilation of a squall line with SVD-En3DVar. Plateau Meteorology，35（3）：755-766. DOI：10. 7522/j. issn. 1000-0534. 2015. 00109. (in Chinese)
5. Shao Aimei, QiuChongjian, and NiuGuo-Yue, 2015: A piecewise modeling approach for climate sensitivity studies: Tests with a shallow-water model. J. Meteor. Res., 29(5), 735–746, doi: 10.1-007/s13351-015-5026-6 （SCI）
6. Li Huchao, Aimei Shao, Dengxin He, Yueya Wang, 2015: Application of Back-Propagation Neural Network in Predicting Non-Systematic Error in Numerical Prediction Model. Plateau Meteorology，34(6）：1751 -1757，doi：10. 7522/j. issn. 1000-0534. 2014. 00120. (in Chinese)
7. He Dengxin, Aimei Shao, 2014: Similarity Area Ratio method for Determiniing Similarity of Atmospheric Data. Plateau Meteorology，33(3）：658 -665，doi：10. 7522/j. issn. 1000-0534. 2013. 1000-0534. 2013. 00103. (in Chinese)
8. Shao Aimei, Xiaobin Qiu, Chongjian Qiu and Daosheng Xu, 2013: A study on reducing update frequency of the forecast samples in the ensemble-based 4DVar data assimilation method. Meteorologische Zeitschrift, 22(1), 35-48, doi:10.1127/0941-2948/2013/0287 （SCI）
9. XU Daosheng, Aimei SHAO, and Chongjian QIU，2012: Doppler Radar Data Assimilation with a Local SVD-En3DVar Method. Acta Meteoro. Sinica. 26(6), 717-734,doi: 10.1007/s13351-012-0604-3 （SCI）
10. Pan, X., X. Tian, X. Li, Z. Xie, A. Shao, and C. Lu (2012), Assimilating Doppler radar radial velocity and reflectivity observations in the weather research and forecasting model by a proper orthogonal-decomposition-based ensemble, three-dimensional variational assimilation method, J. Geophys. Res., 117, D17113, doi:10.1029/2012JD017684. （SCI）
11. Shao Aimei, Xiaobin Qiu, Chongjian Qiu，2011：Ensemble-Based Four-Dimensional Variational Assimilation Using Hubrid Sample. Plateau Meteorology，30（3）：583-593 (in Chinese)
12. Xu Daosheng, Aimei Shao, Chongjian Qiu, 2011: Assimilation of Doppler radar velocity observations with SVD-En3DVar method. Part I: Simulated data experiments. Chinese Journal of Atmospheric Sciences, 35 (4): 753-766 (in Chinese)
13. Xu Daosheng, Aimei Shao, Chongjian Qiu, 2011: Assimilation of Doppler radar velocity observations with SVD-En3DVar method. Part II: Real data experiments. Chinese Journal of Atmospheric Sciences, 35 (5): 818-832 (in Chinese)
14. Shao Ai-Mei; Xiao-Bin Qiu; Chong-Jian Qiu, 2011: The Multi-Solution Problem in 4DVar and Solved in a Smooth Subspace. 2010 International Conference on Multimedia Technology. Ningbo, China. (EI)
15. Duan Yunxia, Aimei Shao, Yi Yang，2010：Analysis on Three-Dimension Wind Fields for a Ryphoom Process Using Dual-Doppler Radar. Plateau Meteorology. 29（1），187-196. (in Chinese)
16. Xu Daosheng, Aimei Shao, Chongjian Qiu, 2010: Using SVD-En3DVar for radar data assimilation: comparing local and global scheme. 2010 International Conference on Multimedia Technology. Ningbo, China. (EI)
17. Yang Yi, Xiaobin Qiu, Zhenghu Wang, Deyao Wen and Aimei Shao, 2010: Assimilation of Multi-Time Radar Observations with WRF-based Ensemble Kalman Filter. p6470-6473, 2010, 2nd International Conference on Information Science and Engineering, ICISE2010 – Proceedings（EI）
18. Yang Yi, Xuanze Zhang, Deyao Wen, Zhenghu Wang and Aimei Shao,2010: Is it better to assimilate the Doppler radar radial velocity directly than Retrieved Winds with Ensemble Kalman Filter? p3801-3804, 2010, 2nd International Conference on Information Science and Engineering, ICISE2010 – Proceedings（EI）
19. Shao Aimei, Shuang Xi, Chongjian Qiu, Qin Xu, 2009: A hybrid space approach for ensemble-based 4D variational data assimilation. J. Geophys. Res., 114, D17114, Doi: 10.1029/2009JD012032 （SCI）
20. Shao Aimei, Shuang Xi, Chongjian Qiu, 2009: A variational method for correcting non-systematic errors in numerical weather prediction. Science in China Series D: Earth Sciences., 52 (10), 1650-1660, Doi: 10.1007/S11430-009-0139-3 （SCI）
21. Shao Aimei， Xiaoshi Qiao, Chongjian Qiu，2009：Criteria of quality control for VAD winds. Journal of Lanzhou University（Natural Science），45（5），57-62. (in Chinese)
22. Shao Aimei, Shuang Xi, Chongjian Qiu, 2009: A variational method for correcting non-systematic errors in numerical weather prediction，Science in China Series D: Earth Sciences. 39（2）， 235-244. (in Chinese)
23. Chan Pakwai, Aimei Shao, 2008: TDWR-LIDAR dual Doppler analysis of 2D wind field associated with subtropical squall lines. Symposium on recent developments in atmospheric applications of Radar and Lidar, New Orleans, Louisiana, USA, 20-24 January, 2008;
24. Chan Pakwai, Aimei Shao, 2008: Dual Doppler Lidar retrieval of 2D wind field. 24th international laser radar conference, 23-27 June 2008, Boulder, Colorado, USA
25. Shao Aimei, Chongjian Qiu, 2007：A Numerical Study of an Ensemble-Based Reduced-Dimensional Data Assimilation Method. Chinese Journal of Atmospheric Sciences, 31（4），675-684.
26. Qiu Chongjian, Aimei Shao, Qin Xu, Li Wei，2007: Fitting model fields to observations by using singular valuse decompostion—An ensemble-based 4DVar approach. J. Geophys. Res., 112, D11105, Doi: 10.1029/2006JD007994 （SCI）
27. Qiu ChongJian, Lei Zhang, and Aimei Shao, 2007: An explicti four-dimensional variational data assimilation method, Science in China Series D: Eatrh Sciences, 50(8), 1232-1240 （SCI）
28. Qiu ChongJian, Lei Zhang, and Aimei Shao, 2007: An explicti four-dimensional variational data assimilation method, Science in China Series D: Eatrh Sciences，37(5)，698-704. (in Chinese)
29. Chan Pakwai, Aimei Shao, 2007: Depiction of complex airflow near Hong Kong international ariport using a Doppler LIDAR with a two-dimensional wind retrieval technique. Meteorologische Zeitschrift, 16(5), 491-504 （SCI）
30. Chan Pakwai, Aimei Shao, 2007: Dual Doppler radar analysis of 3D wind fields associated with subtropical squall lines. 33rd international conference on radar meteorology, Cairns, Australia, 6-10 August 2007;
31. Qiu Chongjian, Aimei Shao, Shun Liu, 2006: A two-step variational method for three-dimensional wind retrieval from single Doppler radar. Meteorology and Atmospheric physics，91, 1-8, Doi: 10.1007/s00703-004-0093-8 （SCI）
32. Chan Pakwai, Aimei Shao, 2006: Two-dimensional wind retrieval using a Doppler Lindar. 13th international symposium for the advancement of boundary layer romote sensing, Garmisch-Partenkirchen, Germany, 18-20 July 2006
33. Shao Aimei, Chongjian Qiu, Liping Liu, 2004: Kinematic structure of a heavy rain event from dual-Doppler radar observations, Adv. Atmos. Sci., 21(4), 609-616 （SCI）
34. Shao Aimei, Chongjian Qiu, 2001: The influences of urban aerosols on the boundary-layer structure of temperature in Lanzhou—A study of one-dimensional numerical simulation. Journal of Lanzhou University (Natural Sciences), 37(5): 117-123. (in Chinese)
