张峰

职称：教授/博士生导师

邮箱：fengzhang@fudan.edu.cn

021-31248809

研究兴趣

主要集中在大气辐射与卫星气象学、人工智能在大气科学中的应用、数值模式物理过程参数化

教育背景

学士学位（2006年），物理学，浙江师范大学

硕士学位（2010年），大气科学，中国气象科学研究院

博士学位（2013年），气象学，中国气象科学研究院和中科院大学联合培养

研究经历

2020-至今，yh86银河国际/大气科学研究院，教授，博士生导师

2014-2019，南京信息工程大学大气科学学院，历任校聘教授，教授，博士生导师

2018-2019，德国宇航中心遥感技术研究所，洪堡学者

2016-2018，日本东北大学，日本学术振兴会（JSPS）海外特别研究员

2010-2014，中国气象局上海台风研究所，助研

承担课题

2021.12-2024.11: 国家重点研发计划“台风变分辨率预报模式的关键物理过程研究与示范应用”第一课题（2021YFC3000801）课题，适用于台风变分辨率预报的云宏观特征与辐射过程参数化研究，课题负责人；

2021.01-2024.12: 国家自然科学基金面上项目（42075125），热红外多通道联合反演冰云微物理特性研究，项目负责人；

2020.11-2022.10: 2020年度上海市浦江人才计划（20PJ1401800），基于机器学习方法的可见光和热红外多通道联合反演冰云微物理特性研究，项目负责人；

2020.11-2023.10: 上海市科委（612020029），气象大数据与人工智能交叉研究项目，项目负责人；

2020.02-2023.02: 霍英东教育基金会第十七届高等院校青年教师基金（171012），云辐射参数化研究，项目负责人；

2018.12-2021.12: 国家重点研发计划“多尺度全球大气数值模式物理过程和资料同化系统研究”第二课题（2018YFC1507002）课题，大气辐射过程参数化研究，课题负责人；

2017.1-2020.12: 国家自然科学基金面上项目（41675003），适用于云微物理特性连续变化的辐射传输新理论研究及其在气候模式模拟中的应用，项目负责人；

2014.1-2016.12: 国家自然科学基金青年项目（41305004），四流累加辐射传输理论研究及其在气候模式中的应用，项目负责人；

2016.9-2017.12: 灾害天气国家重点实验室开放课题（2016LASW-B07），热带气旋中高云辐射效应研究，课题负责人；

2015.1-2016.12: 中科院大气所LASG国家重点实验室课题，气候模式中辐射模块的相函数调整方案研究，课题负责人；

2017.1-2017.12: 中国气象局数值预报（GRAPES）发展专项课题，四流辐射传输算法在RRTMG辐射方案中的应用及其效果检验，课题负责人

学术兼职

2020.11-至今，担任上海期智研究院气象大数据与人工智能交叉研究团队首席

2017年-至今，担任国际辐射委员会委员兼任工作组组长

2017.7-2019.7，清华大学地球系统数值模拟教育部重点实验室特聘研究员

获奖情况

2019年，德国“洪堡学者”；

2016年，日本学术振兴会海外特别研究员；

2020年，上海市浦江人才计划；

2019年，第七届清华大学—浪潮集团计算地球科学青年人才奖；

2018年，获国际摄影测量与遥感协会大气环境遥感工作组授予的大气环境遥感与协同分析研讨会青年学者奖；

2018年，江苏省“333工程”中青年科学技术带头人；

2018年，获南京信息工程大学青年五四标兵；

2013年，获中国气象科学研究院华云研究生奖；

2006年，获第三届中国青少年科技创新奖；

2005年，获第九届“挑战杯”全国大学生课外学术科技作品竞赛二等奖；

2005年，获浙江省“挑战杯”大学生课外学术科技作品竞赛一等奖；

2003年，获浙江省高等数学竞赛二等奖；

发表论文

（本人名称加粗，通讯作者加*号）

74.Yi-Ning Shi, Wenwen Li, Kun Wu, Feng Zhang, Qi Chen, 2022: A broadband infrared radiative transfer scheme including the effect related to vertically inhomogeneous microphysical properties inside water clouds, Journal of Quantitative Spectroscopy and Radiative Transfer, 285, 108160:1-33.DOI: https://doi.org/ 10.1016/j.jqsrt.2022.108160

73.张敬林, 薛珂, 杨智鹏, 张峰*,张人禾, 杨杰, 封国林, 2022: 人工智能与物联网在大气科学领域中的应用. 地球物理学进展, 37(1):94-109. DOI: https://doi.org/10.6038/pg2022EE0521

72.Cui Qian, Zhang Feng, Fu Shaoyun ,Wei Xiaoli, Ma Yue and Wu Kun, 2022: High Spatiotemporal Resolution PM2.5 Concentration Estimation with Machine Learning Algorithm: A Case Study for Wildfire in California.Remote Sensing, 14(7): 1-17. DOI: https://doi.org/10.3390/rs14071635

71.Liang XiangSan, Fen Xu, Yineng Rong, Renhe Zhang, Xu Tang, Feng Zhang, 2021: El Niño Modoki can be mostly predicted more than 10 years ahead of time. Scientific Reports, 11:17860:1-14. DOI: https://doi.org/10.1038/s41598-021-97111-y

70.XiaoHaixia, Feng Zhang*, Zhongping Shen, Kun Wu, Jinglin Zhang, 2021: Classification of Weather Phenomenon From Images by Using Deep Convolutional Neural Network. Earth and Space Science, 8(5),e2020EA001604:1-9. DOI: https://doi.org/ 10.1029/2020EA001604

69.Zhang Jinglin, Pu Liu, Feng Zhang, Hironobu Iwabuchi, Antonio Artur de H. e Ayres de Moura, and Victor Hugo C. de Albuquerque, 2021: Ensemble Meteorological Cloud Classification Meets Internet of Dependable and Controllable Things. IEEE Internet of Things Journal, 8: 3323-3330. DOI: https://doi.org/ 10.1109/JIOT.2020.3043289

68.Zhou Zecheng, Feng Zhang*, Haixia Xiao, Fuchang Wang, Xin Hong, Kun Wu, and Jinglin Zhang, 2021: A Novel Ground-Based Cloud Image Segmentation Method by Using Deep Transfer Learning. IEEE Geoscience and Remote Sensing Letters,19: 1-5. DOI: https://doi.org/10.1109/LGRS.2021.3072618

67.Gao Si, Jiali Mao, Wei Zhang, Feng Zhang, Xinyong Shen, 2021: Atmospheric moisture shapes increasing tropical cyclone precipitation in southern China over the past four decades. Environmental Research Letters, 16, 034004:1-6. DOI: https://doi.org/10.1088/1748-9326/abd78a

66.Zhang Yushan, Kun Wu, Jinglin Zhang, Feng Zhang, Haixia Xiao, Fuchang Wang, Jianyin Zhou, Yi Song, and Liang Peng, 2021: Estimating Rainfall with Multi-Resource Data over East Asia Based on Machine Learning. Remote Sensing, 13, 16: 3332-3361. DOI: https://doi.org/10.3390/rs13163332

65.Lin Yanluan, Xiaomeng Huang, Yishuang Liang, Yi Qin,Shiming Xu, Wenyu Huang, Fanghua Xu, Li Liu, Yong Wang, Yiran Peng, Lanning Wang, Wei Xue, Haohuan Fu, Guang Jun Zhang, Bin Wang,Ruizhe Li, Cheng Zhang, Hui Lu, Kun Yang, Yong Luo, Yuqi Bai, Zhenya Song, Minqi Wang, Wenjie Zhao, Feng Zhang, Jingheng Xu, Xi Zhao, Chunsong Lu, Yizhao Chen, Yiqi Luo, Yong Hu, Qiang Tang, Dexun Chen, Guangwen Yang, Peng Gong, 2020: Community Integrated Earth System Model (CIESM): Description and Evaluation. Journal of Advances in Modeling Earth Systems, 12, e2019MS002036:1-29. DOI: https://doi.org/10.1029/2019MS002036

64.Hu Shuai, Lei Liu, Qingwei Zeng, Taichang Gao, Feng Zhang, Xichuan Liu, 2020: Efficient design of the realization scheme of the invariant imbedding (IIM) T-matrix light scattering model for atmospheric nonspherical particles. Journal of Quantitative Spectroscopy and Radiative Transfer, 251,106999: 1-17.  DOI: https://doi.org/10.1016/j.jqsrt.2020.106999

63.Pan Shifeng, Tingfeng Dou, Lei Lin, Jiao Yang, Feng Zhang, Mingkeng Duan, Chuanfeng Zhao, Hong Liao, Cunde Xiao, 2020: Larger Sensitivity of Arctic Precipitation Phase to Aerosol than Greenhouse Gas Forcing. Geophysical Research Letters, 47,e2020GL090452: 1-11. DOI: https://doi.org/ 10.1029/2020GL090452.

62.Zhang Feng, Qiu-Run Yu, Jia-Li Mao, Chen Dan, Yanyu Wang, Qianshan He, Tiantao Cheng, Chunhong Chen, Dongwei Liu, Yanping Gao, 2020: Possible mechanisms of summer cirrus clouds over the Tibetan Plateau. Atmospheric Chemistry and Physics, 20(20): 11799–11808. DOI: https://doi.org/10.5194/acp-20-1-2020

61.Li Wenwen, Feng Zhang*, Yueyue Yu, Hironobu Iwabuchi, Zhongping Shen, Guoyin Wang, Yijun Zhang, 2020: The semi-diurnal cycle of deep convective systems over Eastern China and its surrounding seas in summer based on an automatic tracking algorithm. Climate Dynamics, 56:357-379. DOI: https://doi.org/10.1007/s00382-020-05474-1

60.Xiao Haixia, Feng Zhang*, Lijuan Miao, X. San Liang, Kun Wu and Renqiang Liu, 2020: Long-term trends in Arctic surface temperature and potential causality over the last 100years. Climate Dynamics, 55:1443–1456. DOI: https://doi.org/10.1007/s00382-020-05330-2

59.Li Wenwen, Feng Zhang*, Yi-Ning Shi, Hironobu Iwabuchi, Mingwei Zhu, Jiangnan Li, Wei Han, Husi Letu, and Hiroshi Ishimoto, 2020: Efficient radiative transfer model for thermal infrared brightness temperature simulation in cloudy atmospheres. Optics Express, 28: 25730-25749. DOI: https://doi.org/10.1364/OE.400130

58.Wu You, Feng Zhang*, Kun Wu, Min. Min,Wenwen Li, Renqiang Liu, 2020: Best Water Vapor Information Layer of Himawari-8-Based Water Vapor Bands over East Asia. Sensors, 20: 2394-2410. DOI: https://doi.org/10.3390/s20082394

57.Miao Lijuan, Suyuan Li, Feng Zhang*, Tiexi Chen, Yunpeng Shan, and Yushan Zhang, 2020: Future drought in the dry lands of Asia under the 1.5ºC and 2.0ºC warming scenarios. Earth Future, 8(6), e2019EF001337:1-13. DOI: https://doi.org/10.1029/2019EF001337

56.Yang Quan, Feng Zhang*, Hua Zhang, Zhili Wang, Hironobu Iwabuchi, Jiangnan Li, 2020: Impact of δ-Four-Stream Radiative Transfer Scheme on global climate model simulation. Journal of Quantitative Spectroscopy and Radiative Transfer, 243,106800:1-13. DOI: https://doi.org/10.1016/j.jqsrt.2019.106800:1-13

55.Lei Yadong, Feng Zhang*, Lijuan Miao, Qiu-Run Yu, Mingkeng Duan, Klaus Fraedrich, Zifeng Yu, 2020: Potential impacts of future reduced aerosols on internal dynamics characteristics of precipitation based on model simulations over southern China. Physica A: Statistical Mechanics and its Applications, 545, 123808:1-13. DOI: https://doi.org/10.1016/j.physa.2019.123808

54.Xue Dan, Feng Zhang*, Yi-Ning Shi, Hironobu Iwabuchi, Jiangnan Li, Shuai Hu, Wei Han, 2020: The δ -six-stream spherical harmonic expansion adding method for solar radiative transfer. Journal of Quantitative Spectroscopy and Radiative Transfer, 243, 106818:1-17. DOI: https://doi.org/10.1016/j.jqsrt.2019.106818

53.Zhang Jingxin, Zhen Wang, Feng Zhang, Haiyang Gao, Jinhu Wang, Shengcheng Cui, 2020: A novel multiple small-angle scattering framework for interpreting anisotropic polarization pattern of lidar returns from water clouds. Journal of Quantitative Spectroscopy and Radiative Transfer, 242.106794:1-12. DOI: https://doi.org/10.1016/j.jqsrt.2019.106794

52.Liu MeiCheng, Dingzhu Hu, Feng Zhang, 2020: Connections between Stratospheric Ozone Concentrations over the Arctic and Sea Surface Temperatures in the North Pacific. Journal of Geophysical Research: Atmospheres, (4):1-18. DOI: https://doi.org/10.1029/2019JD031690

51.Liu Cuiping, Feng Zhang, Lijuan Miao, Yadong Lei, Quan Yang, 2019: Future haze events in Beijing,China: When climate warms by 1.5 and 2.0^oC. International Journal of Climatology.40(8): 3689-3700. DOI: https://doi.org/10.1002/joc.6421

50.Shi Yining, Feng Zhang*, Ka Lok Chan, Wenwen Li, Han Lin, Mingkeng Duan, 2019: An improved Eddington approximation method for irradiance calculation in a vertical inhomogeneous medium. Journal of Quantitative Spectroscopy and Radiative Transfe, 226: 40-50. DOI: https://doi.org/10.1016/j.jqsrt.2019.01.008

49.Xiao Haixia, Feng Zhang*, Qianshan He, Pu Liu, Fei Yan, Lijuan Miao, Zhipeng Yang, 2019: Classification of ice crystal habits observed from airborne Cloud Particle Imager by deep transfer learning. Earth and Space Science, 6, 1877-1886, DOI: https://doi.org/10.1029/2019EA000636.

48.Shi Yining, Feng Zhang*, Ka Lok Chan, Thomas Trautmann, Jiangnan Li, 2019: Multi-layer solar radiative transfer considering the vertical variation of inherent microphysical properties of clouds. Optics Express, 27(20):A1569-A1590. DOI: https://doi.org/10.1364/oe.27.0a1569

47.Zhu Mingwei, Feng Zhang*, Wenwen Li, You Wu, Na Xu, 2019: The Impact of Various HITRAN Molecular Spectroscopic Databases on Infrared Radiative Transfer Simulation. Journal of Quantitative Spectroscopy & Raidiatve Transfer, 234: 55-63. DOI: https://doi.org/10.1016/j.jqsrt.2019.04.031

46.Zhang Feng*, Mingwei Zhu, Jiangnan Li, Wenwen Li, Di Di, Yi-Ning Shi, Kun Wu, 2019: Alternate Mapping Correlated k-Distribution Method for Infrared Radiative Transfer Forward Simulation. Remote Sensing, 11(9): 994-1006. DOI: https://doi.org/10.3390/rs11090994

45.Lin Han, Feng Zhang*, Kun Wu, Jing Xu, 2019: Comparisons of δ-two-stream and δ-four-stream radiative transfer schemes in RRTMG for solar spectra. Scientific Online Letters on the Atmosphere, 15:87-93.DOI: https://doi.org/10.2151/sola.2019-017.

44.Wu Kun, Jiangnan Li, Jason Cole, Xianglei Huang, Kunt von Salzen, Feng Zhang, 2019: Accounting for Several Infrared Radiation Processes in Climate Models. Journal of Climate , 32: 4602-4620. DOI: https://doi.org/10.1175/JCLI-D-18-0648.1

43.Zhang Feng, Hang Ren, Lijuan Miao, Yadong Lei,Mingkeng Duan, 2019: Simulation of daily precipitation from CMIP5 in the Qinghai–Tibet Plateau. Scientific Online Letters on the Atmosphere ,15: 68-74. DOI: https://doi.org/10.2151/sola.2019-014

42.Shogo Sakai, Hironobu Iwabuchi, Feng Zhang, 2019: Development of a Rapid Retrieval Method for Cloud Optical Thickness and Cloud-top Height Using Himawari-8 Infrared Measurements. Scientific Online Letters on the Atmosphere , 15: 57-61. DOI: https://doi.org/10.2151/sola.2019-012

41.Ka Lok Chan, Zhuoru Wang, Aijun Ding, Klaus-Peter Heue, Yicheng Shen, Jing Wang, Feng Zhang, Yining Shi, Nan Hao, and Mark Wenig, 2019: MAX-DOAS measurements of tropospheric NO2 and HCHO in Nanjing and a comparison to ozone monitoring instrumen to bservations. Atmospheric Chemistry and Physics, 19: 10051-10071. DOI: https://doi.org/10.5194/acp-19-10051-2019

40.Yang Quan, Feng Zhang*, Hua Zhang, Zhili Wang, Jiangnan Li, Kun Wu, YiningShi, Yiran Peng, 2019: Assessment of Two-stream Approximations in a Climate Model. Journal of Quantitative Spectroscopy and Radiative Transfer, 225: 25–34. DOI: https://doi.org/10.1016/j.jqsrt.2018.12.016

39.Yu Qiurun , Feng Zhang*, Jiangnan Li, Jinglin Zhang, 2019: Analysis of sea-salt aerosol size distributions in radiative transfer. Journal of Aerosol Science, 129: 71-86. DOI: https://doi.org/10.1016/j.jaerosci.2018.11.014

38.Wang Zhen, Shengcheng Cui, Zhibo Zhang, Jun Yang, Haiyang Gao, Feng Zhang, 2019: Theoretical extension of universal forward and backward Monte Carlo radiative transfer modeling for passive and active polarization observation simulations. Journal of Quantitative Spectroscopy and Radiative Transfer, 235: 81 - 94. DOI: https://doi.org/10.1016/j.jqsrt.2019.06.025

37.Li Suyuan, Feng Zhang*, Qiu-Run Yu, Ka Lok Chan,Can Hou, Rong Guo, Mingkeng Duan, 2018: COMPARISON OF THREE TYPES OF AEROSOL PRODUCTS DURING 2015–2017 IN CHINA. Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-3/W5: 47-52. DOI: https://doi.org/10.5194/isprs-archives-XLII-3-W5-47-2018

36.张敬林, 张国宇, 杨全, 张峰*, 2018:飞机尾迹云识别及其辐射强迫的研究进展. 大气科学学报, 41(5): 577-581. DOI: https://doi.org/10.13878/j.cnki.dqkxxb.20170308003

35.Zhang Feng* , Kun Wu, Jiangnan Li, Hua Zhang, Shuai Hu, 2018: Radiative transfer in the region with solar and infrared spectra overlap. Journal of Quantitative Spectroscopy and Radiative Transfer, 219: 366-378. DOI: https://doi.org/10.1016/j.jqsrt.2018.08.025

34.Zhang Jinglin, Pu Liu, Feng Zhang*, Qianqian Song, 2018: CloudNet: Ground-based Cloud Classification with Deep Convolutional Neural Network. Geophysical Research Letter, 45: 8665–8672. DOI:https://doi.org/10.1029/2018GL077787

33.Shi Yi-Ning, Feng Zhang*, Jia-Ren Yan, Hironobu Iwabuchi, Zhen Wang, 2018: The standard perturbation method for infrared radiative transfer in a vertically internally inhomogeneous scattering medium. Journal of Quantitative Spectroscopy and Radiative Transfer , 213: 149-158. DOI:https://doi.org/10.1016/j.jqsrt.2018.03.025

32.Zhang Feng*, Jia-Ren Yan, Jiangnan Li, Kun Wu, Hironobu Iwabuchi, Yi-Ning Shi, 2018, A new radiative transfer method for solar radiation in a vertically internally inhomogeneous medium. Journal of the Atmospheric Sciences, 75: 41-55. DOI: https://doi.org/10.1175/JAS-D-17-0104.1

31.刘仁强, 黎颖, 付焱焱, 施春华, 郭栋, 张峰, 2018:北半球极区平流层冬季12月与1-2月气候变化形势的对比. 大气科学学报, 41(3): 416-422. DOI: https://doi.org/10.13878/j.cnki.dqkxxb.20160929001

30.陆晏, 郭栋, 陶丽, 张峰, 刘仁强, 苏昱丞, 2017:太阳准周期变化对北半球夏季平流层加热率的影响. 大气科学学报, 40(6): 729-736. DOI: https://doi.org/10.13878/j.cnki.dqkxxb.20160124001

29.Wu Kun, Jiangnan Li, Knut von Salzen, Feng Zhang, 2017: Explicit Solutions of the Mixing Rules with Three-Component Inclusions. Journal of Quantitative Spectroscopy and Radiative Transfer, 207: 78-82. DOI:https://doi.org/10.1016/j.jqsrt.2017.12.020

28.Zhang Feng*, Can Hou, Jiangnan Li,Renqiang Liu, Cuiping Liu, 2017: A simple parameterization of the maximum ozone heating rate height. Infrared Physics & Technology, 87: 104-112. DOI:https://doi.org/10.1016/j.infrared.2017.09.002

27.Zhang Feng, Kun Liu, Yang Quan, Kun Wu, and Jian-Qi Zhao, 2017, Comparison of Chebyshev and Legendre polynomial expansion of phase function of cloud and aerosol particles. Advances in Meteorology , 1835169: 1-10. DOI: https://doi.org/10.1155/2017/1835169

26.Wu Kun, Feng Zhang*, Hironobu Iwabuchi, Yi-Ning Shi, Mingkeng Duan,2017: Double-delta-function adjustment in thermal radiative transfer. Infrared Physics & Technology, 86: 139-146. DOI: http://dx.doi.org/10.1016/j.infrared.2017.07.006

25.Zhang Feng*, Yadong Lei, Qiu-Run Yu, Klaus Fraedrich, Hironobu Iwabuchi, 2017: Causality of the drought in the southwestern United States based on observations. Journal of Climate, 30 (13): 4891-4896. DOI: https://doi.org/10.1175/JCLI-D-16-0601.1

24.Zhang Feng, Yi-Ning Shi, Jiangnan Li, Kun Wu, Hironobu Iwabuchi, 2017: Variational iteration method for infrared radiative transfer in a scattering medium. Journal of the Atmospheric Sciences, 74: 419-430. DOI: https://doi.org/10.1175/JAS-D-16-0172.1

23.Zhang Feng*, Yadong Lei, Jia-Ren Yan, Jian-Qi Zhao, Jiangnan Li, Qiudan Dai, 2017: A new parameterization of canopy radiative transfer for land surface radiation models. Advance in Atmospheric Sciences, 34: 613–622. DOI: https://doi.org/10.1007/s00376-016-6139-2

22.Zhang Feng, Kun Wu, Peng Liu, Xianwen Jing, Jiangnan Li, 2017: Accounting for Gaussian quadrature in four-stream radiative transfer algorithms. Journal of Quantitative Spectroscopy and Radiative Transfer, 192: 1–13. DOI: http://dx.doi.org/10.1016/j.jqsrt.2017.01.040

21.Zhang Feng, Peicai Yang, Klaus Fraedrich, Xiuji Zhou, Geli Wang, Jiangnan Li, 2017: Reconstruction of driving forces from nonstationary time series including stationary regions and application to climate change. Physic A: Statistical Mechanics and its Applications, 473: 3197–3204. DOI: http://dx.doi.org/10.1016/j.jqsrt.2017.01.040

20.Hu Shuai, Taichang Gao, Hao Li, Ming Chen, Feng Zhang, Bo Yang, 2017: Simultaneously simulating the scattering properties of nonspherical aerosol particles with different sizes by the MRTD scattering model. Optics Express, 25(15): 17872-17891. DOI:https://doi.org/10.1364/OE.25.017872

19.Hu Shuai, Taichang Gao, Hao Li, Bo Yang, Feng Zhang, Ming Chen, Lei Liu, 2017: Light scattering computation model for nonspherical aerosol particles based on multi-resolution time-domain scheme: model development and validation. Optics Express, 25: 1463-1486. DOI:http://dx.doi.org/10.1364/OE.25.001463

18.雷亚栋, 张峰*, 杨全, 张敬昕, 蒋磊, 刘仁强, 2017: 热带地区出射长波辐射的长程持续性研究. 热带气象学报, 33(3): 426-432. DOI: https://doi.org/10.16032/j.issn.1004-4965.2017.03.013

17.Zhang Feng*, Kun Wu, Jiangnan Li, Quan Yang, Jian Li, 2016: Analytical infrared delta-four-stream adding method from invariance principle. Journal of the Atmospheric Sciences, 73: 4171–4188. DOI: https://doi.org/10.1175/JAS-D-15-0317.1

16.Zhang Feng, Jiangnan Li, 2016: A note on double Henyey–Greenstein phase function. Journal of Quantitative Spectroscopy and Radiative Transfer, 184: 40-43. DOI:http://dx.doi.org/10.1016/j.jqsrt.2016.06.016

15.Wu Kun, Feng Zhang*, Jingzhong Min, Qun-Run Yu, Xin-Yue Wang, Leiming Ma, 2016: Adding method of delta-four-stream spherical harmonic expansion approximation for infrared radiative transfer parameterization. Infrared Physics & Technology, 78: 254-262. DOI:http://dx.doi.org/10.1016/j.infrared.2016.08.001

14.刘琨, 张峰*, 吴琨, 周秀骥, 张华, 刘仁强, 2016: 大气粒子散射相函数的参数化方案比较及其改进. 气象学报, 74: 784-795. DOI:https://doi.org/10.11676/qxxb2016.052

13.Yang Peicai, Geli Wang, Feng Zhang, Xiuji Zhou, 2016: Causality of global warming seen from observations: a scale analysis of driving force of the surface air temperature time series in the Northern Hemisphere. Climate Dynamics, 46(9/10):3197-3204. DOI: https://doi.org/10.1007/s00382-015-2761-4

12.Chao Liu, Chul Eddy Chung, Feng Zhang, and YanYin, 2016: The color of biomass burning aerosols in the atmosphere. Scientific Reports. 6: 28267-28275. DOI: https://doi.org/10.1038/srep28267.

11.Sun Zhian, Jiangnan Li, Yongjian He, Jiandong Li, Aixia Liu, Feng Zhang, 2016: Determination of direct normal irradiance including circumsolar radiation in climate/NWP models. Quarterly Journal of the Royal Meteorological Society, 142: 2591-2598. DOI: https://doi.org/10.1002/qj.2848

10.Zhang Hua, Zhili Wang, Feng Zhang, Xianwen Jing, 2015: Impact of four-stream radiative transfer algorithm on aerosol direct radiative effect and forcing. International Journal of Climatology, 35: 4318-4328. DOI: https://doi.org/10.1002/joc.4289

9.Zhao Jian-Qi, Feng Zhang, Jiangnan Li, 2014: Analytical inversion of the absorption spectrum to determine non-spherical-particle size distribution. Journal of Quantitative Spectroscopy and Radiative Transfer, 149: 128–137. DOI: http://dx.doi.org/10.1016/j.jqsrt.2014.08.004

8.Li Jiangnan, Petr Chylek, Feng Zhang, 2014: The dissipation structure of extratropical cyclones. Journal of Atmospheric Sciences, 71: 69–88. DOI:https://doi.org/10.1175/JAS-D-13-037.1

7.向华, 张峰, 江静, 彭杰, 张喜亮, 张春艳, 2014: 利用 CFSR 资料分析近30年全球云量分布及变化. 气象, 40(5): 555-561. DOI: https://doi.org/10.7519/j.issn.1000-0526.2014.05.005

6.Zhang Feng*, Jiangnan Li, 2013: Doubling-adding method for delta-four-stream spherical harmonicexpansion approximation in radiative transfer parameterization. Journal of the Atmospheric Sciences, 70: 3084-3101. DOI: https://doi.org/10.1175/JAS-D-12-0334.1

5.Zhang Feng*, Zhongping Shen, Jiangnan Li, Xiuji Zhou and Leiming Ma, 2013: Analytical delta-four-stream doubling-adding method for radiative transfer parameterizations. Journal of the Atmospherc Sciences, 70: 794-808. DOI: https://doi.org/10.1175/JAS-D-12-0122.1

4.张峰, 马雷鸣, 沈钟平, 张华, 孙婧, 杨寅, 2012: 一种计算非均质大气双向反射比的新方法. 物理学报, 61(18), 184212: 213-218. DOI: https://doi.org/10.7498/aps.61.184212.

3.张峰, 张华, 沈钟平, 卫晓东, 2011: 一种处理漫射因子的新方法. 物理学报, 60(1), 010702: 151-154. DOI: https://doi.org/10.7498/aps.60.010702.

2.Zhang Hua, Feng Zhang, Qiang Fu, Zhongping Shen and Peng Lu, 2010: Two- and four-Stream combination approximations for computation of diffuse actinic fluxes, Journal of the Atmospheric Sciences, 67, 3238–3252. DOI: https://doi.org/10.1175/2010JAS3370.1

1.Zhang Feng, Baiqing Tang, Zhongping Shen, Chaoqing Dai and Jiefang Zhang, 2006: Influence of mass of cone spring on oscillatory period, Journal of Sound and Vibration, 295, 331-341. DOI: https://doi.org/10.1016/j.jsv.2006.01.010

专利

1.张峰，颜佳任，吴琨，石怡宁，杨全，适用于云物理特性连续变化的辐射传输方法，中华人民共和国国家知识产权局, 专利号CN 107748733 B，发文日：2017年09月15日（已授权）

2.张峰，李雯雯，一种基于云反演资料的深对流系统自动识别追踪方法，2019（受理中）

3.张峰，肖海霞，刘普，杨智鹏, 张敬林，闫非，一种冰晶图片的自动分类方法，2019（受理中）

已经培养学生：

博士：

2016级，吴琨（南信大招生，加拿大环境部气候分析中心联合培养，毕业去向：南信大留校任教）

2017级，石怡宁（南信大招生，德国宇航中心联合培养，毕业去向：中国气象科学研究院），杨全（南信大招生，毕业去向：中国气象科学研究院南京分院）

2019级，李雯雯（南信大招生，毕业去向：yh86银河国际博士后）

硕士：

2014级，刘琨（南信大招生，毕业去向：深圳市气象局），颜佳任（南信大招生，毕业去向：江苏省连云港市气象局）

2015级，雷亚栋（南信大招生，毕业去向：中科院大气所攻读博士），侯灿（南信大招生，毕业去向：安徽省气象科学研究所）

2016级，朱明伟（南信大招生，毕业去向：南信大攻读博士），余秋润（南信大招生，毕业去向：加拿大麦吉尔大学攻读博士），任航（南信大招生，毕业去向：吉林省气象科学研究所）

2017级，肖海霞（南信大招生，毕业去向：中国气象科学研究院南京分院），薛丹（南信大招生，毕业去向：江苏省徐州气象局），刘翠苹（南信大招生，毕业去向：yh86银河国际攻读博士）

2018级，吴悠（南信大招生，毕业去向：日本千叶大学攻读博士）

其他情况说明：

本课题组长期招收博士后，每年招收1-2名硕士和博士研究生。课题组学术氛围浓厚，欢迎大气科学、物理学、数学、环境工程、计算机等及相关专业背景的同学报考本课题组的硕士和博士研究生。

#以上信息由本人提供，更新时间：2022/7/11