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杨毅

【来源:大气科学学院 | 发布日期:2010-12-13 | 【选择字号:
杨毅,男,江苏盱眙人,1980年生,博士,教授,博士研究生导师,副院长。2002年毕业于兰州大学大气系,获理学学士学位,2007年获理学博士学位,随后留校工作至今。曾两次美国Oklahoma大学客座访问。主要讲授《数值分析》和《数值天气预报》两门课程。《气象与环境学报》编委。
E-mail: yangyi@lzu.edu.cn
 
研究方向:
资料同化、多普勒雷达资料反演和中小尺度数值模拟。
 
学习和工作经历:
1998-09~2002-06 兰州大学大气系 学士
2002-09~2007-06 兰州大学大气科学学院 博士
2007-10~2010-04 兰州大学大气科学学院 讲师
2008-07~2009-09 美国俄克拉荷马大学CAPS 访问学者
2010-05~2015-05 兰州大学大气科学学院 副教授
2015-05~至今 兰州大学大气科学学院 教授
2017-06~2018-06 美国俄克拉荷马大学CIMMS 访问学者
 
主持、参加的科研项目
9、参加国家重点研发计划项目:“副热带地区区域模式关键技术及其应用”第2课题(No.2017YFC1502102,2018.01-2021.12)
8、主持国家自然科学基金:“基于动态下垫面和Nudging同化技术的高时空分辨率气候场构建研究”(No.41675098,2017.01-2020.12)
7、主持干旱气象科学研究基金项目:“兰州C波段多普勒雷达质量控制系统研制”(No. IAM201513, 2015.11.01-2017.10.31)
6、参加973项目:“雷电重大灾害天气系统的动力-微物理-电过程和成灾机理”第6课题(No.2014CB441406,2014.01-2018.12)
5、参加国家自然科学基金重点项目: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(No.41330527,2014.01-2018.12)
4、主持国家自然基金:基于地/天基激光雷达资料边界层高度诊断、同化及应用(No.41375109 ,2014.01-2017.12)
3、主持国家自然科学基金:闪电定位网资料同化技术研究(No.41175092,2012.01-2015.12)
2、主持甘肃省自然科学基金:面向业务灾害性精细数值天气预报的多普勒雷达回波反射率同化关键技术研究(No. 1010RJZA118 ,2010.01-2012.12)
1、主持国家青年自然科学基金:提高用集合卡尔曼滤波方法同化雷达资料的效率的研究(No.40805044 ,2009.01-2011.12)
 
表彰/奖励
(1)甘肃省气象学会首届青年优秀科技论文一等奖,2010年
(2)教育部自然科学奖二等奖、4/4、2007年,获奖项目“多普勒雷达资料的反演研究”
(3)兰州大学、甘肃省优秀硕士论文指导教师,2017.
(4)王澄海、杨毅、张飞民、隆宵和陈思宇:2019年《数值天气预报》甘肃省教学团队
 
知识产权:
7、杨毅,马锁堂,王莹,基于图像识别的多普勒雷达径向速度退模糊方法,发明专利号ZL201710011017.0;
6、杨毅,韩文宇,王莹,用于强对流天气预报的同化地闪转换代理雷达回波的方法,发明专利号ZL201611024898.1;
5、杨毅,李红,党蕊君,一种有云情况下激光雷达资料反演边界层高度的方法,发明专利号ZL201610961387.6;
4、杨毅,党蕊君,李红,反演边界层高度的方法、装置、计算机设备及存储介质,发明专利号ZL201710774967.9;
3、 王莹,杨毅,一种运用物理初始化同化地闪资料的方法,发明专利号ZL201410110400.8;
2、杨毅,陈欣,一种基于多普勒雷达资料的层云与对流云自动识别方法,发明专利号:ZL201210071837.6;
1、杨毅,马锁堂,“多普勒雷达径向风退模糊软件”,  软件著作权登记号:2014SR045955;
 
论著及学术论文:
48.Zhida Yang, Peng Liu, Yi Yang*, Convective/Stratiform Precipitation Classification Using Ground-Based Doppler Radar Data Based on the K-Nearest Neighbor Algorithm,Remote Sens. 2019, 11(19), 2277; https://doi.org/10.3390/rs11192277
47.Ma, Yuanyuan,Yang, Yi*,Qiu, Chongjian,et al. Evaluation of the WRF-Lake Model over Two Major Freshwater Lakes in China[J]. JOURNAL OF METEOROLOGICAL RESEARCH,2019,33(2):219-235.
46.Ruijun Dang, Yi Yang*, Xiao-Ming Hu, Zhiting Wang and Shuwen Zhang. A Review of Techniques for Diagnosing the Atmospheric Boundary Layer Height (ABLH) Using Aerosol Lidar Data.  Remote Sens.  2019, 11(13), 1590; https://doi.org/10.3390/rs11131590.
45.Ruijun Dang ,Yi Yang *,Hong Li ,Xiao-Ming Hu ,Zhiting Wang ,Zhongwei Huang,Tian Zhou  andTiejun Zhang. Atmosphere Boundary Layer Height (ABLH) Determination under Multiple-Layer Conditions Using Micro-Pulse Lidar. Remote Sens. 2019, 11(3), 263; https://doi.org/10.3390/rs11030263
44.Ma, Y., Yang, Y*. & Wang.How essential of the balance between large and small scale features to reproduce precipitation during a sudden sharp turn from drought to flood. Climate Dynamics. 2019,52:5013–5029. https://doi.org/10.1007/s00382-018-4445-3
43.Gan R, Yang Y*, Ma Y. Modelling the impacts of the Pacific Ocean sea surface temperature anomalies on a drought event in southwestern China with a piecewise‐integration method. Int J Climatol. 2019,39(2):799–813. https://doi.org/10.1002/joc.5843
42.Wang Y, Yang, Y*, Jin S. Evaluation of Lightning Forecasting Based on One Lightning Parameterization Scheme and Two Diagnostic Methods[J]. Atmosphere, 2018, 9(3),99.
41.Liu P, Qiu X, Yang, Y *, et al. Assessment of the Performance of Three Dynamical Climate Downscaling Methods Using Different Land Surface Information over China[J]. Atmosphere, 2018, 9(3):101.
40.Mai, X. , Ma, Y. , Yang, Y. *, Li, D. , & Qiu, X. . (2017). Impact of grid nudging parameters on dynamical downscaling during summer over chinese mainland. Atmosphere, 8(10), 184.
39.李红, 杨毅*,党蕊君,天基、地基资料反演边界层高度比较研究[J].激光与光电子学进展,2017,54(6).
38.Li, H., Y. Yang*, X.-M. Hu, Z. Huang, G. Wang, B. Zhang, and T. Zhang  (2017),  Evaluation of retrieval methods of daytime convective boundary layer height based on lidar data, J. Geophys. Res. Atmos., 122, 4578–4593, doi:10.1002/2016JD025620.
37.Li, H., Y. Yang*, X.-M. Hu, Z. Huang, G. Wang, and B. Zhang: Application of convective condensation level limiter in convective boundary layer height retrieval based on lidar data, Atmosphere 2017, 8(4), 79; doi:10.3390/atmos8040079
36.Wang, Y., Y. Yang*,  Dongxia Liu, Dongbin Zhang, Wen Yao, Chenghai Wang: A Case Study of Assimilating Lightning-Proxy Relative Humidity with WRF-3DVAR. Atmosphere 03/2017; 8(3):20, DOI:10.3390/atmos8030055
35.Ma, Y.,Y. Yang*, X. Mai, C. Qiu, X. Long, C. Wang: Comparison of Analysis and Spectral Nudging Techniques for Dynamical Downscaling with the WRF Model over China. Advances in Meteorology 01/2016; 2016(2-3):1-16., DOI:10.1155/2016/4761513
34.Lili Yang, Yi Yang*, Peng Liu, Lina Wang: Radar-Derived Quantitative Precipitation Estimation Based on Precipitation Classification. Advances in Meteorology 01/2016; 2016(11):1-16., DOI:10.1155/2016/2457489
33.Ruijun Dang, Hong Li, Zhiguo Liu, and Yi Yang*, “Statistical Analysis of Relationship between Daytime Lidar-Derived Planetary Boundary Layer Height and Relevant Atmospheric Variables in the Semiarid Region in Northwest China,” Advances in Meteorology, vol. 2016, Article ID 5375918, 13 pages, 2016. doi:10.1155/2016/5375918
32.甘茹蕙, 马媛媛, 杨毅,等. 兰州地区突发性夜间增温的统计特征[J]. 兰州大学学报(自科版), 2016, 52(5):652-659.
31.杨丽丽, 王莹, 杨毅*. 利用WRF3D-Var同化多普勒雷达反演风场试验研究[J]. 冰川冻土, 2016,38(1): 107-114
30.韩文宇, 杨丽丽, 杨毅*. C波段雷达资料在强降水过程中的应用[J]. 干旱气象, 2016(1):154-162.
29.王莹, 杨毅*, 邱晓滨. 集合均方根滤波同化地闪资料的试验研究[J]. 干旱气象,2015,33(5):761-768.
28.李红, 马媛媛, 杨毅*. 基于激光雷达资料的小波变换法反演边界层高度的方法[J]. 干旱气象, 2015(1):78-88.
27.杨丽丽, 杨毅*, 张廷龙,等. 基于双多普勒雷达及闪电资料分析一次强降水过程[J]. 高原气象, 2015, 34(2):546-555.
26.MA Yuanyuan, Yi Yang*, Xiao-Ming Hu, et al. Characteristics and mechanisms of the sudden warming events in the nocturnal atmospheric boundary layer: A case study using WRF[J]. Journal of Meteorological Research, 2015, 29(5):747-763, DOI: 10.1007/s13351-015-4101-3
25.Yang Yi*, Ying Wang, and Kefeng Zhu(2015), “Assimilation of Chinese Doppler Radar and Lightning Data Using WRF-GSI: A Case Study of  Mesoscale Convective System,” Advances in Meteorology, vol. 2015, Article ID 763919, 17 pages. doi:10.1155/2015/763919
24.Zhu, K. F., Y. Yang, and M. Xue*, 2015: Percentile-based neighborhood precipitation verification and its application to a landfalling tropical storm case with radar data assimilation. Adv. Atmos. Sci., 32(11), 1449–1459, doi: 10.1007/s00376-015-5023-9.
23.Zhang F, Yang Y, Wang C*. The Effects of Assimilating Conventional and ATOVS Data on Forecasted Near-Surface Wind with WRF-3DVAR[J]. Monthly Weather Review, 2015, 143(1):153-164.doi: http://dx.doi.org/10.1175/MWR-D-14-00038.1
22.韩文宇,杨丽丽,杨毅*,一次强对流过程的多普勒雷达反演及预警分析,干旱气象2014,32 ( 5) : 810 - 818
21.Ying Wang, Yi Yang*, Chenghai Wang(2014), Improving forecasting of strong convection by assimilating cloud-to-ground lightning data using the physical initialization method, Atmospheric Research, Volume 150, December 2014, Pages 31-41, ISSN 0169-8095, http://dx.doi.org/10.1016/j.atmosres.2014.06.017.
20.马媛媛,杨毅*,胡小明,戚友存,张曼,WRF中三种边界层参数化方案对新疆“2·28”大风过程模拟的对比分析,沙漠与绿洲气象,2014,8(3):8-18。
19.Yang, Y. *, X. Chen, and Y. Qi (2013), Classification of convective/stratiform echoes in radar reflectivity observations using a fuzzy logic algorithm, J. Geophys. Res. Atmos., 118, 1896–1905, doi:10.1002/jgrd.50214.
18.Yang, L., Y. Yang*, Y. Qi, X. Qiu, and Z. Gong (2013), A Case Study of Radar-derived Quantitative precipitation Estimation, Advanced Materials Research, 4541-4546,doi: 10.4028/www.scientific.net/AMR.726-731.4541.
17.Wang, Y., Y. Yang*, F Zhang, L. Yang,(2013),Improve the forecast of surface-layer wind in wind power farm with WRF-3DVAR, Advanced Materials Research, Vols. 724-725,480-484, doi:10.4028/www.scientific.net/AMR.724-725.480.
16.Yang Yi*, Gong Zhongqiang, Wang Jinyan, et al., 2011: Time-expanded sampling approach for Ensemble Kalman Filter: Experiment assimilation of simulated soundings. Acta Meteor. Sinica, 25(5), 558-567, doi: 10.1007/s13351-011-0502-0.
15.Yang Yi*, Chen Donghui and Gan Li,et al.,2011: Three-dimensional gridding and mosaic of reflectivities from multiple radars with a two-step variational method. International Conference on Remote Sensing, Environment and Transportation Engineering, RSETE 2011 – Proceedings. p2778-2781, DOI: 10.1109/RSETE.2011.5964891
14.王澄海,隆宵,杨毅,2011:《大气数值模式及模拟》,气象出版社。ISBN: 7-5029-5114-6
13.Yi Yang*, Xiaobin Qiu, Zhenghu Wang, Deyao Wen and Aimei Shao. Assimilation of Multi-Time Radar Observations with WRF-based Ensemble Kalman Filter. 2010, 2nd International Conference on Information Science and Engineering, ICISE2010 – Proceedings. p6470-6473, DOI: 10.1109/ICISE.2010.5689539
12.Yang Yi*, Zhang Xuanze, Wen Deyao,Wang Zhenghu and Shao Aimei,2010:Is it better to assimilate the Doppler radar radial velocity directly than Retrieved Winds with Ensemble Kalman Filter? 2010, 2nd International Conference on Information Science and Engineering, ICISE2010 – Proceedings, p3801-3804, DOI: 10.1109/ICISE.2010.5691924
11.Xunming Wang* , Fahu Chen, Jiawu Zhang, Yi Yang, Jijun Li, Eerdun Hasi, Caixia Zhang,Dunsheng Xia, 2009. Climate, desertification, and the rise and collapse of China's historical Dynasties. Human Ecology, 2010, 38(1):157-172, DOI: 10.1007/s10745-009-9298-2
10.Xunming Wang*, Yi Yang, Zhibao Dong, 2009. Responses of dune activity and desertification to twenty-first century global warming in China. Global Planetary and Change, doi: 10.1016/j.gloplacha.2009.02.004.
9.Yang Yi, Qiu Chongjian*, Gong Jiandong and Huang Jing. The The WRF 3DVar System Combined with Physical Initialization for Assimilation of Doppler Radar Data. Acta Meteorologica Sinica, 2009,23(2):129-139。
8.杨毅,邱崇践*,龚建东,黄静. 三维变分和物理初始化方法相结合同化多普勒雷达资料的试验研究. 气象学报,2008,66(4):479-488
7.杨毅,邱崇践* ,龚建东,希爽. 利用3维变分方法同化多普勒天气雷达资料的试验研究.气象科学,2008,28(2):124-132
6.杨毅,邱崇践* ,龚建东,邓莲堂 ,希爽. 同化多普勒雷达风资料的两种方法比较.高原气象,2007,26(3):547-555
5.Yang, Y., C. Qiu*, and J. Gong, Physical initialization applied in WRF-Var for assimilation of  Doppler radar data, Geophys. Res. Lett., 2006, 33, L22807, doi: 10.1029/2006GL027656
4.杨毅,邱崇践*,龚建东. 多普勒雷达资料在中尺度模式中的应用。http://www.paper.edu.cn 论文编号:200609-383
3.杨毅,邱崇践*。 利用多普勒雷达资料分析一次强降水过程的中尺度流场。 高原气象,2006,25(4):1-7
2.杨毅,邱崇践*,多普勒雷达资料格点化方案的比较研究,干旱气象,2004,22(2):6-10。
1.Yang, Y., C. Qiu*, A Case Study on the Stream Structure of Mesoscale Convection Systems by Using Single-Doppler Radar(in English), The Second China-Japan Workshop on Heavy Rainfall Experiment and Study, Oct.30~Nov.3, 2003, Wuhan, China .Abstract, 13.

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