欢迎来到公海7108线路-welcome

您的位置: 首页 > 师资团队 > 教授 >> 正 文

邵爱梅

【来源:欢迎来到公海7108线路 | 发布日期:2010-12-14 | 【选择字号:
邵爱梅,女,理学博士,欢迎来到公海7108线路教授、博士生导师。长期从事多普勒雷达资料反演与同化、大气资料同化及中小尺度数值模拟研究,近年来围绕资料同化方法的应用开展研究,部分成果实现了业务化。2007-2008年期间作为访问学者在美国Oklahoma大学CAPS进行雷达资料同化方面的研究工作。2010年获“第七届全国优秀青年气象科技工作者”称号,2011年入选“教育部新世纪人才支持计划”。教育部创新团队“半干旱气候变化研究”的重要成员,国家级教学团队《大气科学专业教学团队》的主要成员。先后主持科技部重大基础研究项目子课题、国家自然科学基金青年基金、国家自然科学基金面上项目,参与国家973项目、重大国际合作项目、国家自然基金重点项目、部队军工项目等多项研究工作。项目“多普勒雷达资料的反演研究”于2008年获教育部自然科学二等奖(2/4),项目“基于3DVAR的雷达组网风场反演技术”于2016获国家气象中心成果转化二等奖(3/10),研发了“基于激光测风雷达资料的低空风切变预警系统”(软著,第一完成人)。
 
研究兴趣:资料同化、数值模拟、大数据分析与应用
联系方式:sam@lzu.edu.cn
 
主要科研项目:
1.多源气候资料同化及高空间分辨率数据集研制,科技部基础资源调查专项《中国南北过渡带综合科学考察》第二课题之专题,专题负责人,2017-2022
2.西北干旱半干旱区快速更新循环预报系统,兰州中心气象台委托项目,负责人,2019.5-2019.12
3.乌海市环境空气中臭氧来源解析,乌海市生态环境局委托项目,参与,2019.08-2020.07
4.人类活动对气候变化的影响:减少数值模拟不确定性的方法及其应用研究,国家自然科学基金重点项目,项目骨干,2014-2018
5.基于集合的四维变分方法用于雷达资料同化的关键技术研究,国家自然科学基金面上项目,项目负责人,2013-2016
6.突发性强对流天气的多源资料融合和同化理论,国家重点基础研究发展计划(973计划) “突发性强对流天气演变机理和监测预报技术研究”之第二课题,专题负责人,2013-2017
7.利用历史数据改进GRAPES模式1-5天数值预报,公益性行业(气象)专项项目。项目骨干,2012-2014
8.集合四维变分方法用于雷达资料的技术研究,中国气象科学研究院灾害天气国家重点试验室开放课题,项目负责人,2012.01-2012.12
9.修正数值天气预报非系统性误差的方法研究,国家自然科学基金面上项目,项目负责人,2009-2012
10.强对流天气的多普勒雷达资料多尺度集合滤波同化的理论及方法,国家自然科学基金重大国际合作项目,项目骨干,2007-2009
11.多普勒雷达资料同化方法研究,国家自然科学基金项目,项目负责人,2006-2008
 
代表性论文:
1.Li, L. Q., A. M. Shao, K. J. Zhang, et al., 2020: Low-level wind shear characteristics and lidar-based alerting at Lanzhou Zhongchuan International Airport, China. J. Meteor. Res., 34(3), 633–645, doi:10.1007/s13351-020-9134-6. (通讯作者)
2.Li, L., N. Xie, L. Fu, K. Zhang, A. M. Shao, et al., 2020: Impact of Lidar Data Assimilation on Low-Level Wind Shear Simulation at Lanzhou Zhongchuan International Airport, China: A Case Study. Atmosphere, 11, 1342; doi:10.3390/atmos11121342 (通讯作者)
3.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 (通讯作者)
4.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. (通讯作者)
5.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
6.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
7.王越亚,邵爱梅*. SVD-En3DVar 同化方法在一次飑线过程中的应用. 2016, 35(3), 755-766
8.何邓新,邵爱梅*.判断大气要素场相似度的相似面积比方法.高原气象,2014, 33(3), 658-665.
9.李虎超,邵爱梅,何邓新,等. BP 神经网络在估算模式非系统性预报误差中的应用. 高原气象,2015,34(6):1751 -1757.
10.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
11.Xu Daosheng, Shao Aimei, and Qiu Chongjian, 2012: Doppler radar data assimilation with a local SVD-En3DVar method. Acta Meteor. Sinica, 26(6), 717-734, doi: 10.1007/S13351-012-0604-3. (通讯作者)
12.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.
13.邵爱梅,邱晓滨,邱崇践,2011:使用混合样本的集合四维变分同化试验研究。高原气象, 31(3),583-593
14.徐道生,邵爱梅,邱崇践.2011:SVD-En3DVar方法同化多普勒雷达速度观测资料 I. 模拟资料试验[J].大气科学,35(4):753-766
15.徐道生,邵爱梅,邱崇践,.2011:SVD-En3DVar方法同化多普勒雷达速度观测资料 II. 实际资料试验[J].大气科学,35(5):818-832
16.段云霞,邵爱梅,杨毅,2010:利用双多普勒雷达资料对一次台风流场结构的分析. 高原气象,29(1),187-196
17.Shao Ai-Mei; Qiu Xiao-Bin; Qiu Chong-Jian. The Multi-Solution Problem in 4DVar and Solved in a Smooth Subspace. 2010 International Conference on Multimedia Technology. Ningbo, China.
18.Shao Aimei,Xi Shuang, Qiu Chongjian, Xu Qin, 2009: A hybrid space approach for ensemble-based 4D variational data assimilation. J. Geophys. Res., 114, D17114, Doi: 10.1029/2009JD012032 
19.Shao Aimei ,  Xi Shuang, Qiu Chongjian,  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
20.邵爱梅,乔小湜,邱崇践,2009:VAD技术反演水平风廓线的质量控制标准. 兰州大学学报(自然科学版),45(5),57-62
21.邵爱梅,希爽,邱崇践,2009:修正数值天气预报的非系统性误差的变分方法. 中国科学D辑:地球科学, 39(2), 235-244
22.邵爱梅,邱崇践, 2007:一种基于预报集合的降维资料同化方法的数值试验研究.大气科学, 31(4),675-684.
23.Qiu Chongjian, Shao Aimei, Xu Qin, Wei Li,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
24.Chan Pakwai, Shao Aimei, 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
25.Qiu Chongjian, Shao Aimei, Liu Shun, 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
26.Shao Aimei, Qiu, Chongjian, Liu Liping, 2004: Kinematic structure of a heavy rain event from dual-Doppler radar observations, Adv. Atmos. Sci., 21(4), 609-616
27.Chan Pakwai, Shao Aimei, 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;
28.Chan Pakwai, Shao Aimei, 2008: Dual Doppler Lidar retrieval of 2D wind field. 24th international laser radar conference, 23-27 June 2008, Boulder, Colorado, USA
29.Qiu ChongJian, Zhang Lei, and Shao Aimei, 2007: An explicti four-dimensional variational data assimilation method, Science in China Series D: Eatrh Sciences, 50(8), 1232-1240  
30.Chan Pakwai, Shao Aimei, 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 
32.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
33.邵爱梅, 邱崇践, 2001: 兰州城市气溶胶对边界层温度结构的影响——一维数值模拟研究. 兰州大学学报(自然科学版),37(5): 117-123.

上一篇:陈强

下一篇:张述文

版权所有:欢迎来到公海7108线路

地址(Add):甘肃省兰州市天水南路222号观云楼1721

邮编(Postcode):730000

电话(Tel): +86-931-8914276,8914277,8914278

传真(Fax): +86-931-8914277

E-mail:dqy@lzu.edu.cn

Copyright © 欢迎来到公海7108线路

All Right Reserved

管理员张卫东

XML 地图 | Sitemap 地图
Baidu
sogou