南京信息工程大学大气物理学院导师教师师资介绍简介-刘超

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个人简介
刘超教授2013年博士毕业于美国Texas A&M Univeristy，2014年9月起担任南京信息工程大学大气物理学院教授。主要从事大气辐射和大气遥感领域的研究工作，近年来发表高影响学术论文60余篇，先后荣获Waterman 散射青年奖、Yuxiang 青年****奖、涂长望青年气象科技奖等荣誉。目前担任Science China: Earth Sciences（中国科学：地球科学）编委、JGR-Atmosphere 和 Atmospheric Science Letters 副编委，International Radation Comission 委员。

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教育经历
工作经历
Texas A&M University|大气科学|博士研究生|理学博士

2018.1-----2019.1California Institute of Technology

2014.9-----至今南京信息工程大学

2013.8-----2014.8Texas A&M University

团队成员
团队名称：大气辐射与卫星遥感

大气辐射与卫星遥感介绍团队围绕大气辐射基本理论和卫星遥感开展研究。

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刘超职务：大气物理学院副院长
主要任职：研究生教育、国际合作

个人信息教师姓名：刘超
性别：男
所在单位：大气物理学院
职务：大气物理学院副院长
办公地点：气象楼1023
联系方式： chao_liu@nuist.edu.cn
职称：教授
主要任职：研究生教育、国际合作

曾获荣誉2017曾获荣誉当选：Waterman Award
2017曾获荣誉当选：涂长望青年气象科技奖
其他联系方式办公室电话:
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南京信息工程大学

科学研究
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研究领域

大气辐射与卫星遥感

2021
63. Kang, E., B.-J. Sohn*, R. Tonboe, G. Dybkj?r, K. Holmlund, J. Kim, and C. Liu, 2021: Implementation of a 1-D thermodynamic model for simulating the winter-time evolvement of physical properties of snow and ice over the Arctic Ocean, J. Adv. Model. Earth Sy., in press.
62. Rye, J., H.-J. Song, B. J. Sohn*, and C. Liu, 2021: Global distribution of three types of drop size distribution representing heavy rainfall from GPM/DPR measurements, Geophys. Res. Lett., 48, e2020GL090871.
61. Chen, K., Y. Yin*, S. Liu, C. Liu, H. Wang, C. He, H. Jiang, and J. Chen, 2021: Concentration and variability of deposition-mode ice nucleating particles from Mt. Tai of China in early summer, Atmos. Res., 253, 105426.
60. Shi, S., B. Zhu*, W. Lu, S. Yan, C. Fang, X. Liu, D. Liu, and C. Liu, 2021: Estimation of radiative forcing and heating rate based on vertical observation of black carbon in Nanjing, China, Sci. Total Environ., 756, 144135.
59. Yang, Y., F. Chen*, R. Wang, and C. Liu, 2021: Synoptic weather patterns modulate the frequency, type and vertical structure of summer precipitation over Eastern China: A perspective from GPM observations, Atmos. Res., 249, 105342.
2020
58. Wei, X., Y. Zhu, J. Hu*, C. Liu, X. Ge, S. Guo, D. Liu, H. Liao, and H. Wang, 2020: Recent progress in impacts of mixing state on optical properties of black carbon aerosol, Current Pollution Reports, 6, 380-398.
57. Teng, S., C. Liu*, Z. Zhang, Y. Wang, B-J. Sohn, and Y. L. Yung, 2020: Retrieval of ice-over-water cloud microphysical and optical properties using passive radiometers, Geophys. Res. Lett., 47, e2020GL088941. (36)
56. Zhang, M., S. Teng, D. Di, X. Hu, M. Min, H. Letu, and C. Liu*, 2020: Information content of ice clouds form multi-spectral, -angle and -polarization observations, Remote Sensing, 12, 2548. (35)
55. Shang, H., H. Letu*, L. Chen, J. Riedi, R. Ma, L. Wei, L. C. Labonnote, S. Hioki, C. Liu, Z. Wang, and J. Wang, 2020: Cloud thermodynamic phase detection using a directional polarimetric camera (DPC), J. Quant. Spectrosc. Radiat. Transfer, 253, 107179.
54. Yao, B., S. Teng, R. Lai, X. Xu*, Y. Yin, C. Shi, and C. Liu*, 2020: Can atmospheric reanalysis (CRA and ERA5) represent cloud spatiotemporal characteristics?, Atmos. Res., 244, 105091. (34)
53. Yao, B., C. Liu*, S. Teng, L. Bi, Z. Zhang, P. Zhang, and B.-J. Sohn, 2020: An accurate and efficiency radiative transfer model for simulating all-sky images from Fengyun satellite radiometers, Sci. China Earth Sci., 63, 1701-1713. (33)
52. Yang, Y., M. Zhang, Q. Li, B. Chen, Z. Gao, G. Ning, C. Liu, Y. Li, and M. Luo, 2020: Modulations of surface thermal environment and agricultural activity on intraseasonal variations of summer diurnal temperature range in the Yangtze River Delta Region of China, Sci. Total Environ., 736, 139445.
51. Liu, C., B. Yao, V. Natraj*, F. Weng, T. Le, R.-L. Shia, and Y. L. Yung, 2020: A spectral data compression (SDCOMP) radiative transfer model for high spectral resolution radiation simulations, J. Atmos. Sci., 77(6), 2055-2066. (32)
50. Liu, S., J. Li, L. Sun*, G. Wang, D. Tan, P. Huang, H. Yan, S. Gao, A. Chen, C. Liu, Z. Gao, Y. Li, Y. Yang*, 2020: Basin-wide responses of the South China Sea environment to Super Typhoon Mangkhut (2018), Sci. Total Environ., 731, 139093.
49. Lu, Q., C. Liu*, C. Zeng, D. Zhao, J. Li, C. Lu, and B. Zhu, 2020: Atmospheric heating rate due to black carbon aerosols: uncertainties and impact factors, Atmos. Res., 240, 104891. (31)
48. Huang, Y., C. Liu*, Y. Yin, and L. Bi, 2020: Scattering phase matrix of mineral dust aerosols: a refinement of refractive index impact, Atmos. Chem. Phys., 20, 2865-2876. (30)
47. Le, T., C. Liu*, B. Yao, V. Natraj, and Y. L. Yung, 2020: Application of machine learning technique for hyperspectral radiative transfer simulations, J. Quant. Spectrosc. Radiat. Transfer, 246, 106928. (29)
46. Yao, B., C. Liu*, Y. Yin, Z. Liu, C. Shi, and F. Weng, 2020: Assessment of reanalysis data of the cloudy atmosphere with satellite observations over East Asia, Atmos. Meas. Tech., 13, 1033-1049. (28)
45. Zhao, D.*, Y. Yin, C. Liu, C. Lu, and X. Xu, 2020: Can the aerosol absorption Angstrom exponent represent aerosol color in the atmosphere: a numerical study, Atmosphere, 2020, 11, 187.
44. Zhang, F., Y. Wang, J. Peng, L. Chen, Y. Sun, L. Duan, X. Ge, Y. Li, J. Zhao, C. Liu, X. Zhang, G. Zhang, Y. Pan, Y. Wang, A. L. Zhang, Y. Ji, G. Wang, M. Hu, M. J. Molina*, and R. Zhang*, 2020: An unexpected catalyst dominates formation and radiative forcing of regional haze, Proc. Natl Acad. Sci., 117(8), 3960-3966. (ESI Highly Cited Paper)
43. Wang, L., Y. Zheng*, C. Liu, Z. Niu, J. Xu, W. Chen, and R. Jiang, 2020: Combination of AIRS dual CO2 absorption band to develop ice cloud detection algorithm in different layers, Remote Sensing, 12, 6.
42. Bao, S., H. Letu*, J. Zhao, Y. Lei, C. Zhao, J. Li, G. Tana, C. Liu, E. Guo, H. Shang, and, Y. Bao, 2020: Spatiotemporal distribution of cloud radiative forcing and response to cloud parameters over the Mongolian Plateau during 2003-2017, Internal. J. Climat., 2020, 1-20.
2019
41. Wang, T.*, T. Gao*, H. Zhang*, M. Ge*, H Lei, P. Zhang, P. Zhang, C. Lu, C. Liu, H. Zhang, Q. Zhang, H. Liao, H. Kan, Z. Feng, X Cai, M. Li, L. Liu, and S. Tong, 2019: Atmospheric science study in China in recent 70 years: Atmospheric physics and atmospheric environment, Sci. China Earth Sci., 62, 1903-1945.
40. Wang, H., J. Li, Z. Gao, S. H. L. Yim, H. Sheng, H. C. Ho, Z. Li, Z. Zeng, C. Liu, Y. Li, G. Ning, and Y. Yang*, 2019: High-spectral-resolution population exposure to PM_2.5pollution based on multi-satellite retrievals: a case study of seasonal variation in the Yangtze River Delta, China in 2013, Remote Sens., 11, 2724, doi:10.2290/rs**.
39. Zhu, Y., C. Liu*, and M. A. Yurkin, 2019: Reproducing the morphology-dependent resonances of spheres with the discrete dipole approximation, Opt. Express, 27, 22827-22845. (27)
38. Lai, R., S. Teng, B. Yi, H. Letu, M. Min, S. Tang, and C. Liu*, 2019: Comparison of clouds properties from Hamawari-8 and FengYun-4A geostationary satellite radiometers with MODIS cloud retrievals, Remote Sens., 11, 1703. (26)
37. Shang, H., H. Letu*, X. Pan, Z. Wang, R. Ma, C. Liu, T. Dai, S. Li, L. Chen, C. Chen, and Q. Hu, 2018: Diurnal haze variations over the North China plain using measurements from Himawari-8/AHI, Atmos. Environ., 210, 100-109.
36. Zeng, C., C. Liu*, J. Li, B. Zhu, Y. Yin, and Y. Wang, 2019: Optical properties and radiative forcing of aged BC due to hygroscopic growth: Effects of aggregate structure, J. Geophys. Res. Atmos., 124, 4620-4633. (25)
35. Wang, J., C. Liu*, B. Yao, M. Min, H. Letu, Y. Yin, and Y. L. Yung, 2019: A multilayer cloud detection algorithm for the Suomi-NPP Visible Infrared Imager Radiometer Suite (VIIRS), Remote Sens. Environ., 227, 1-11. (24)
34. Min, M., C. Bai, J. Guo*, F. Sun, C. Liu, F. Wang, H. Xu, S. Tang, B. Li, D. Di, and L. Dong, 2019: Estimating summertime precipitation from Himawari-8 and global forecast system based on machine learning, IEEE T. Geosci. Remote Sensing, 57, 2557-2570.
33. Teng, S., C. Liu*, M. Schnaiter, R. K. Chakrabarty, and F. Liu, 2019: Accounting for the effects of nonideal minor structures on the optical properties of black carbon aerosols, Atmos. Chem. Phys., 19, 2917-2931. (23)
32. Li, J., S. Fan, P. Kopparla, C. Liu, J. H. Jiang, V. Natraj, and Y. L. Yung, 2018: Study of terrestrial glints based on DSCOVR observations, Earth Space Sci., 6, 166-173.
31. Liu, C.*, X. Xu, Y. Yin, M. Schnaiter, Y. L. Yung, 2019: Black carbon aggregates: an optical property database, J. Quant. Spectrosc. Radiat. Transfer, 222-223, 170-179. (22)
2018
30. Jarvinen, E., O. Jourdan, D. Neubauer, B. Yao, C. Liu, M. O. Andreae, U. Lohmann, M. Wendisch,?G. M. McFarquhar, T. Leisner, and M. Schnaiter, 2018: Additional global climate cooling by clouds due to ice crystal complexity, Atmos. Chems. Phys., 18, 15767-15781.
29. Liu C.*, S. Teng, Y. Zhu, M. Yurkin, and Y. L. Yung, 2018: Performance of discretize dipole approximation for optical property simulations of black carbon aggregates, J. Quant. Spectrosc. Radiat. Transfer., 221, 98-109. (21)
28. Liu, C.*, C. E. Chung, Y. Yin, and M. Schnaiter, 2018: The absorption ?ngstr?m exponent of black carbon: from numerical aspects, Atmos. Chem. Phys., 18, 6259-6273. (ESI Highly Cited Paper) (20)
27. Yao, B., C. Liu*, Y. Yin, P. Zhang, M. Min, and W. Han, 2018: Radiance-based evaluation of WRF cloud properties over East Asia: direct comparison with FY-2E observations, J. Geophys. Res. Atmos., 123, 4613-4629. (19)
26. Teng, S., H. Hu, C. Liu*, F. Hu, Z. Wang, and Y. Yin, 2018: Numerical simulation of raindrop scattering for C-band dual-polarization Doppler weather radar parameters, J. Quant. Spectrosc. Radiat. Transfer, 213, 133-142. (18)
25. Wang, J., C. Liu*, M. Min, X. Hu, Q. Lu, and L. Husi, 2018: Effects and applications of satellite radiometer 2.25-μm channel on cloud property retrievals, IEEE T. Geosci. Remote Sensing, 56, 5207-5216. (17)
2017 or before
24. Min, M., J. Deng, C. Liu, J. Guo*, N. Lu, X. Hu, L. Chen, P. Zhang, Q. Lu, and L. Wang, 2017: An investigation of the implications of lunar illumination spectral changes for Day/Night Band-based cloud property retrieval due to lunar phase transition, J. Geophys. Res. Atmos., 122, 9233-9244.
23. Yu, X.*, R. Lu, C. Liu, L. Yuan, Y. Shao, B. Zhu, L. Lei, 2017: Seasonal variation of columnar aerosol optical properties and radiative forcing over Beijing, China, Atmos. Environ., 166, 340-350.
22. Wang, Z.*, S. Cui, J. Yang, H. Gao, C. Liu, and Z. Zhang, 2017: A novel hybrid scattering order-dependent variance reduction method for Monte Carlo simulations of radiative transfer in cloudy atmosphere, J. Quant. Spectrosc. Radiat. Transfer, 189, 283-320.
21. Liu, C.*, J. Li, Y. Yin, B. Zhu, and Q. Feng, 2017: Optical properties of black carbon aggregates with non-absorptive coating, J. Quant. Spectrosc. Radiat. Transfer, 187, 443-452. (16)
2016 or before
20. Jin, C., C. Liu*, Y. Yin, L. Bi, and T. Nousiainen, 2016: Modeling the scattering phase matrix of red clay, Opt. Lett., 41, 4879-4882. (15)
19. Liu, C.*, C. E. Chung, F. Zhang, and Y. Yin, 2016: The color of biomass burning aerosols in the atmosphere. Sci Rep. 6:28267, doi:10.1038/srep28267. (14)
18. Li, J., C. Liu*, Y. Yin, and K. R. Kumar, 2016: Numerical investigation on the ?ngstr?m Exponent of black carbon aerosols. J. Geophys. Res. Atmos., 121, doi:10.1002/2015JD024718. (13)
17. Yuan, L., Y. Yin*, H. Xiao, X. Yu, J. Hao, K. Chen, and C. Liu, 2016: A close study of aerosol optical properties at a regional background mountainous site in Eastern China. Sci. Total Environ., 550, 950-960.
16. Liu, C.*, and Y. Yin, 2016: Inherent optical properties of pollen particles: a case study for the morning glory pollen. Opt. Express, 24(2), A104-A113. (12)
15. Liu, C.*, Y. Yin, F. Hu, H. Jin, and C. Sorensen, 2015: The effects of monomer size distribution on the radiative properties of black carbon aggregates. Aerosol Sci. Tech., 49(10), 928-940. (11)
14. Jin, H.*, Y. Yi, S. Nasiri, C. Liu, W. Wang, J. Li, Y. Chen, 2015: Impacts of Asian dust on the determination of cloud thermodynamic phase from satellite observations. Environ. Res. Lett., 10(3), 034006.
13. Liu, C., P. Yang*, S. L. Nasiri, S. Platnick, K. G. Meyer, C. Wang, and S. Ding, 2015: A fast Visible-Infrared Imaging Radiometer Suite (VIIRS) simulator for cloudy atmospheres. J. Geophys. Res. Atmos., 120, doi:10.1002/2014JD022443. (10)
12. Yang, P.*, K. N. Liou, L. Bi, C. Liu, B. Yi, and B. A. Baum, 2015: On the radiative properties of ice clouds: light scattering, remote sensing and radiation parameterization. Adv. Atmos. Sci., 32, 32-63. (ESI Highly Cited Paper)
11. Liu, C., P.Yang*, P.Minnis, N.Loeb, S.Kato, A.Heymsfield, and C.Schmitt, 2014: A two-habit model for the microphysical and optical properties of ice clouds. Atmo. Chem. Phys., 14, 13719-13737. (9)
10. Liu, C., R. L. Panetta, and P. Yang*, 2014: The effective equivalence of geometric irregularity and surface roughness in determining particle singe-scattering properties. Opt. Express, 22, 23620-23627. (8)
9. Liu, C.*, R. L. Panetta, and P. Yang, 2014: Inhomogeneity structure and the applicability of effective medium approximations in calculating light scattering by inhomogeneous particles. J. Quant. Spectrosc. Radiat. Transfer, 146: 331-348. (7)
8. Podowitz, D. I., C. Liu*, P. Yang, and M. A. Yurkin, 2014: Comparison of the pseudo-spectral time domain method and the discrete dipole approximation for light scattering by ice spheres. J. Quant. Spectrosc. Radiat. Transfer, 146: 402-409. (6)
7. Bi, L.*, P. Yang, C. Liu, B. Yi, B. A. Baum, B. van Diedenhoven, and H. Iwabuchi, 2014: Assessment of the accuracy of the conventional ray-tracing technique: implications in remote sensing and radiative transfer involving ice clouds. J. Quant. Spectrosc. Radiat. Transfer, 146: 158-174.
6. Liu C., R. L., Panetta*, P., Yang, 2013: The effects of surface roughness on the scattering properties with sizes from the Rayleigh to the geometric-optics regimes. J. Quant. Spectrosc. Radiat. Transfer., 129:169-185. (5)
5. Liu C., R. L., Panetta*, P., Yang, A., Macke, and A. J. Baran, 2013: Modeling the scattering properties of mineral aerosols using concave fractal polyhedra. Applied Optic, 52: 640-652. (4)
4. Liu C., L., Bi, R. L., Panetta, P., Yang*, and M. A. Yurkin, 2012: Comparison of the pseudo-spectral time domain method and the discrete dipole approximation for light scattering simulations. Opt. Express, 20: 16763-16776. (3)
3. Liu C., R. L., Panetta, and P., Yang*, 2012: Application of the pseudo-spectral time domain method to compute particle single-scattering properties for size parameters up to 200. J. Quant. Spectrosc. Radiat. Transfer, 113: 1728-1740. (2)
2. Liu C., R. L., Panetta*, and P., Yang, 2012: The influence of water coating on the optical scattering properties of fractal soot aggregates. Aerosol Sci. Tech., 46: 32-43. (1)
1. Li, H., C. Liu, L. Bi, P. Yang*, and G. W. Kattawar, 2010: Numerical accuracy of “equivalent” spherical approximations for computing ensemble-averaged scattering properties of fractal soot aggregates, J. Quant. Spectrosc. Radiat. Transfer, 111, 2127-2132.

科研项目

沙尘气溶胶光学特性数值模拟中非球形问题的研究, 国家自然科学基金项目, 2016-01-01, 进行
卫星反演冰云特性不一致性研究, 国家自然科学基金项目, 2016-01-01, 进行
基于非球形的黑碳气溶胶光学特性的数值研究, 省、市、自治区科技项目, 2015-07-01, 进行
针对风云卫星成像光谱仪的云特性反演算法及产品开发, 省、市、自治区科技项目, 2015-08-30, 进行

论文成果

Application of machine learning technique for hyperspectral radiative transfer simulations.J. Quant. Spectrosc. Radiat. Transfer.2020(246)
Assessment of reanalysis data of the cloudy atmosphere with satellite observations over East Asia.Atmos. Meas. Tech..2020(13)

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刘超职务：大气物理学院副院长
主要任职：研究生教育、国际合作

个人信息教师姓名：刘超
性别：男
所在单位：大气物理学院
职务：大气物理学院副院长
办公地点：气象楼1023
联系方式： chao_liu@nuist.edu.cn
职称：教授
主要任职：研究生教育、国际合作

曾获荣誉2017曾获荣誉当选：Waterman Award
2017曾获荣誉当选：涂长望青年气象科技奖
其他联系方式办公室电话:
邮箱:

最后更新时间：--

访问量：
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南京信息工程大学

研究领域
当前位置: 中文主页 >> 科学研究 >> 研究领域

研究概况
大气辐射与卫星遥感

2021
63. Kang, E., B.-J. Sohn*, R. Tonboe, G. Dybkj?r, K. Holmlund, J. Kim, and C. Liu, 2021: Implementation of a 1-D thermodynamic model for simulating the winter-time evolvement of physical properties of snow and ice over the Arctic Ocean, J. Adv. Model. Earth Sy., in press.
62. Rye, J., H.-J. Song, B. J. Sohn*, and C. Liu, 2021: Global distribution of three types of drop size distribution representing heavy rainfall from GPM/DPR measurements, Geophys. Res. Lett., 48, e2020GL090871.
61. Chen, K., Y. Yin*, S. Liu, C. Liu, H. Wang, C. He, H. Jiang, and J. Chen, 2021: Concentration and variability of deposition-mode ice nucleating particles from Mt. Tai of China in early summer, Atmos. Res., 253, 105426.
60. Shi, S., B. Zhu*, W. Lu, S. Yan, C. Fang, X. Liu, D. Liu, and C. Liu, 2021: Estimation of radiative forcing and heating rate based on vertical observation of black carbon in Nanjing, China, Sci. Total Environ., 756, 144135.
59. Yang, Y., F. Chen*, R. Wang, and C. Liu, 2021: Synoptic weather patterns modulate the frequency, type and vertical structure of summer precipitation over Eastern China: A perspective from GPM observations, Atmos. Res., 249, 105342.
2020
58. Wei, X., Y. Zhu, J. Hu*, C. Liu, X. Ge, S. Guo, D. Liu, H. Liao, and H. Wang, 2020: Recent progress in impacts of mixing state on optical properties of black carbon aerosol, Current Pollution Reports, 6, 380-398.
57. Teng, S., C. Liu*, Z. Zhang, Y. Wang, B-J. Sohn, and Y. L. Yung, 2020: Retrieval of ice-over-water cloud microphysical and optical properties using passive radiometers, Geophys. Res. Lett., 47, e2020GL088941. (36)
56. Zhang, M., S. Teng, D. Di, X. Hu, M. Min, H. Letu, and C. Liu*, 2020: Information content of ice clouds form multi-spectral, -angle and -polarization observations, Remote Sensing, 12, 2548. (35)
55. Shang, H., H. Letu*, L. Chen, J. Riedi, R. Ma, L. Wei, L. C. Labonnote, S. Hioki, C. Liu, Z. Wang, and J. Wang, 2020: Cloud thermodynamic phase detection using a directional polarimetric camera (DPC), J. Quant. Spectrosc. Radiat. Transfer, 253, 107179.
54. Yao, B., S. Teng, R. Lai, X. Xu*, Y. Yin, C. Shi, and C. Liu*, 2020: Can atmospheric reanalysis (CRA and ERA5) represent cloud spatiotemporal characteristics?, Atmos. Res., 244, 105091. (34)
53. Yao, B., C. Liu*, S. Teng, L. Bi, Z. Zhang, P. Zhang, and B.-J. Sohn, 2020: An accurate and efficiency radiative transfer model for simulating all-sky images from Fengyun satellite radiometers, Sci. China Earth Sci., 63, 1701-1713. (33)
52. Yang, Y., M. Zhang, Q. Li, B. Chen, Z. Gao, G. Ning, C. Liu, Y. Li, and M. Luo, 2020: Modulations of surface thermal environment and agricultural activity on intraseasonal variations of summer diurnal temperature range in the Yangtze River Delta Region of China, Sci. Total Environ., 736, 139445.
51. Liu, C., B. Yao, V. Natraj*, F. Weng, T. Le, R.-L. Shia, and Y. L. Yung, 2020: A spectral data compression (SDCOMP) radiative transfer model for high spectral resolution radiation simulations, J. Atmos. Sci., 77(6), 2055-2066. (32)
50. Liu, S., J. Li, L. Sun*, G. Wang, D. Tan, P. Huang, H. Yan, S. Gao, A. Chen, C. Liu, Z. Gao, Y. Li, Y. Yang*, 2020: Basin-wide responses of the South China Sea environment to Super Typhoon Mangkhut (2018), Sci. Total Environ., 731, 139093.
49. Lu, Q., C. Liu*, C. Zeng, D. Zhao, J. Li, C. Lu, and B. Zhu, 2020: Atmospheric heating rate due to black carbon aerosols: uncertainties and impact factors, Atmos. Res., 240, 104891. (31)
48. Huang, Y., C. Liu*, Y. Yin, and L. Bi, 2020: Scattering phase matrix of mineral dust aerosols: a refinement of refractive index impact, Atmos. Chem. Phys., 20, 2865-2876. (30)
47. Le, T., C. Liu*, B. Yao, V. Natraj, and Y. L. Yung, 2020: Application of machine learning technique for hyperspectral radiative transfer simulations, J. Quant. Spectrosc. Radiat. Transfer, 246, 106928. (29)
46. Yao, B., C. Liu*, Y. Yin, Z. Liu, C. Shi, and F. Weng, 2020: Assessment of reanalysis data of the cloudy atmosphere with satellite observations over East Asia, Atmos. Meas. Tech., 13, 1033-1049. (28)
45. Zhao, D.*, Y. Yin, C. Liu, C. Lu, and X. Xu, 2020: Can the aerosol absorption Angstrom exponent represent aerosol color in the atmosphere: a numerical study, Atmosphere, 2020, 11, 187.
44. Zhang, F., Y. Wang, J. Peng, L. Chen, Y. Sun, L. Duan, X. Ge, Y. Li, J. Zhao, C. Liu, X. Zhang, G. Zhang, Y. Pan, Y. Wang, A. L. Zhang, Y. Ji, G. Wang, M. Hu, M. J. Molina*, and R. Zhang*, 2020: An unexpected catalyst dominates formation and radiative forcing of regional haze, Proc. Natl Acad. Sci., 117(8), 3960-3966. (ESI Highly Cited Paper)
43. Wang, L., Y. Zheng*, C. Liu, Z. Niu, J. Xu, W. Chen, and R. Jiang, 2020: Combination of AIRS dual CO2 absorption band to develop ice cloud detection algorithm in different layers, Remote Sensing, 12, 6.
42. Bao, S., H. Letu*, J. Zhao, Y. Lei, C. Zhao, J. Li, G. Tana, C. Liu, E. Guo, H. Shang, and, Y. Bao, 2020: Spatiotemporal distribution of cloud radiative forcing and response to cloud parameters over the Mongolian Plateau during 2003-2017, Internal. J. Climat., 2020, 1-20.
2019
41. Wang, T.*, T. Gao*, H. Zhang*, M. Ge*, H Lei, P. Zhang, P. Zhang, C. Lu, C. Liu, H. Zhang, Q. Zhang, H. Liao, H. Kan, Z. Feng, X Cai, M. Li, L. Liu, and S. Tong, 2019: Atmospheric science study in China in recent 70 years: Atmospheric physics and atmospheric environment, Sci. China Earth Sci., 62, 1903-1945.
40. Wang, H., J. Li, Z. Gao, S. H. L. Yim, H. Sheng, H. C. Ho, Z. Li, Z. Zeng, C. Liu, Y. Li, G. Ning, and Y. Yang*, 2019: High-spectral-resolution population exposure to PM_2.5pollution based on multi-satellite retrievals: a case study of seasonal variation in the Yangtze River Delta, China in 2013, Remote Sens., 11, 2724, doi:10.2290/rs**.
39. Zhu, Y., C. Liu*, and M. A. Yurkin, 2019: Reproducing the morphology-dependent resonances of spheres with the discrete dipole approximation, Opt. Express, 27, 22827-22845. (27)
38. Lai, R., S. Teng, B. Yi, H. Letu, M. Min, S. Tang, and C. Liu*, 2019: Comparison of clouds properties from Hamawari-8 and FengYun-4A geostationary satellite radiometers with MODIS cloud retrievals, Remote Sens., 11, 1703. (26)
37. Shang, H., H. Letu*, X. Pan, Z. Wang, R. Ma, C. Liu, T. Dai, S. Li, L. Chen, C. Chen, and Q. Hu, 2018: Diurnal haze variations over the North China plain using measurements from Himawari-8/AHI, Atmos. Environ., 210, 100-109.
36. Zeng, C., C. Liu*, J. Li, B. Zhu, Y. Yin, and Y. Wang, 2019: Optical properties and radiative forcing of aged BC due to hygroscopic growth: Effects of aggregate structure, J. Geophys. Res. Atmos., 124, 4620-4633. (25)
35. Wang, J., C. Liu*, B. Yao, M. Min, H. Letu, Y. Yin, and Y. L. Yung, 2019: A multilayer cloud detection algorithm for the Suomi-NPP Visible Infrared Imager Radiometer Suite (VIIRS), Remote Sens. Environ., 227, 1-11. (24)
34. Min, M., C. Bai, J. Guo*, F. Sun, C. Liu, F. Wang, H. Xu, S. Tang, B. Li, D. Di, and L. Dong, 2019: Estimating summertime precipitation from Himawari-8 and global forecast system based on machine learning, IEEE T. Geosci. Remote Sensing, 57, 2557-2570.
33. Teng, S., C. Liu*, M. Schnaiter, R. K. Chakrabarty, and F. Liu, 2019: Accounting for the effects of nonideal minor structures on the optical properties of black carbon aerosols, Atmos. Chem. Phys., 19, 2917-2931. (23)
32. Li, J., S. Fan, P. Kopparla, C. Liu, J. H. Jiang, V. Natraj, and Y. L. Yung, 2018: Study of terrestrial glints based on DSCOVR observations, Earth Space Sci., 6, 166-173.
31. Liu, C.*, X. Xu, Y. Yin, M. Schnaiter, Y. L. Yung, 2019: Black carbon aggregates: an optical property database, J. Quant. Spectrosc. Radiat. Transfer, 222-223, 170-179. (22)
2018
30. Jarvinen, E., O. Jourdan, D. Neubauer, B. Yao, C. Liu, M. O. Andreae, U. Lohmann, M. Wendisch,?G. M. McFarquhar, T. Leisner, and M. Schnaiter, 2018: Additional global climate cooling by clouds due to ice crystal complexity, Atmos. Chems. Phys., 18, 15767-15781.
29. Liu C.*, S. Teng, Y. Zhu, M. Yurkin, and Y. L. Yung, 2018: Performance of discretize dipole approximation for optical property simulations of black carbon aggregates, J. Quant. Spectrosc. Radiat. Transfer., 221, 98-109. (21)
28. Liu, C.*, C. E. Chung, Y. Yin, and M. Schnaiter, 2018: The absorption ?ngstr?m exponent of black carbon: from numerical aspects, Atmos. Chem. Phys., 18, 6259-6273. (ESI Highly Cited Paper) (20)
27. Yao, B., C. Liu*, Y. Yin, P. Zhang, M. Min, and W. Han, 2018: Radiance-based evaluation of WRF cloud properties over East Asia: direct comparison with FY-2E observations, J. Geophys. Res. Atmos., 123, 4613-4629. (19)
26. Teng, S., H. Hu, C. Liu*, F. Hu, Z. Wang, and Y. Yin, 2018: Numerical simulation of raindrop scattering for C-band dual-polarization Doppler weather radar parameters, J. Quant. Spectrosc. Radiat. Transfer, 213, 133-142. (18)
25. Wang, J., C. Liu*, M. Min, X. Hu, Q. Lu, and L. Husi, 2018: Effects and applications of satellite radiometer 2.25-μm channel on cloud property retrievals, IEEE T. Geosci. Remote Sensing, 56, 5207-5216. (17)
2017 or before
24. Min, M., J. Deng, C. Liu, J. Guo*, N. Lu, X. Hu, L. Chen, P. Zhang, Q. Lu, and L. Wang, 2017: An investigation of the implications of lunar illumination spectral changes for Day/Night Band-based cloud property retrieval due to lunar phase transition, J. Geophys. Res. Atmos., 122, 9233-9244.
23. Yu, X.*, R. Lu, C. Liu, L. Yuan, Y. Shao, B. Zhu, L. Lei, 2017: Seasonal variation of columnar aerosol optical properties and radiative forcing over Beijing, China, Atmos. Environ., 166, 340-350.
22. Wang, Z.*, S. Cui, J. Yang, H. Gao, C. Liu, and Z. Zhang, 2017: A novel hybrid scattering order-dependent variance reduction method for Monte Carlo simulations of radiative transfer in cloudy atmosphere, J. Quant. Spectrosc. Radiat. Transfer, 189, 283-320.
21. Liu, C.*, J. Li, Y. Yin, B. Zhu, and Q. Feng, 2017: Optical properties of black carbon aggregates with non-absorptive coating, J. Quant. Spectrosc. Radiat. Transfer, 187, 443-452. (16)
2016 or before
20. Jin, C., C. Liu*, Y. Yin, L. Bi, and T. Nousiainen, 2016: Modeling the scattering phase matrix of red clay, Opt. Lett., 41, 4879-4882. (15)
19. Liu, C.*, C. E. Chung, F. Zhang, and Y. Yin, 2016: The color of biomass burning aerosols in the atmosphere. Sci Rep. 6:28267, doi:10.1038/srep28267. (14)
18. Li, J., C. Liu*, Y. Yin, and K. R. Kumar, 2016: Numerical investigation on the ?ngstr?m Exponent of black carbon aerosols. J. Geophys. Res. Atmos., 121, doi:10.1002/2015JD024718. (13)
17. Yuan, L., Y. Yin*, H. Xiao, X. Yu, J. Hao, K. Chen, and C. Liu, 2016: A close study of aerosol optical properties at a regional background mountainous site in Eastern China. Sci. Total Environ., 550, 950-960.
16. Liu, C.*, and Y. Yin, 2016: Inherent optical properties of pollen particles: a case study for the morning glory pollen. Opt. Express, 24(2), A104-A113. (12)
15. Liu, C.*, Y. Yin, F. Hu, H. Jin, and C. Sorensen, 2015: The effects of monomer size distribution on the radiative properties of black carbon aggregates. Aerosol Sci. Tech., 49(10), 928-940. (11)
14. Jin, H.*, Y. Yi, S. Nasiri, C. Liu, W. Wang, J. Li, Y. Chen, 2015: Impacts of Asian dust on the determination of cloud thermodynamic phase from satellite observations. Environ. Res. Lett., 10(3), 034006.
13. Liu, C., P. Yang*, S. L. Nasiri, S. Platnick, K. G. Meyer, C. Wang, and S. Ding, 2015: A fast Visible-Infrared Imaging Radiometer Suite (VIIRS) simulator for cloudy atmospheres. J. Geophys. Res. Atmos., 120, doi:10.1002/2014JD022443. (10)
12. Yang, P.*, K. N. Liou, L. Bi, C. Liu, B. Yi, and B. A. Baum, 2015: On the radiative properties of ice clouds: light scattering, remote sensing and radiation parameterization. Adv. Atmos. Sci., 32, 32-63. (ESI Highly Cited Paper)
11. Liu, C., P.Yang*, P.Minnis, N.Loeb, S.Kato, A.Heymsfield, and C.Schmitt, 2014: A two-habit model for the microphysical and optical properties of ice clouds. Atmo. Chem. Phys., 14, 13719-13737. (9)
10. Liu, C., R. L. Panetta, and P. Yang*, 2014: The effective equivalence of geometric irregularity and surface roughness in determining particle singe-scattering properties. Opt. Express, 22, 23620-23627. (8)
9. Liu, C.*, R. L. Panetta, and P. Yang, 2014: Inhomogeneity structure and the applicability of effective medium approximations in calculating light scattering by inhomogeneous particles. J. Quant. Spectrosc. Radiat. Transfer, 146: 331-348. (7)
8. Podowitz, D. I., C. Liu*, P. Yang, and M. A. Yurkin, 2014: Comparison of the pseudo-spectral time domain method and the discrete dipole approximation for light scattering by ice spheres. J. Quant. Spectrosc. Radiat. Transfer, 146: 402-409. (6)
7. Bi, L.*, P. Yang, C. Liu, B. Yi, B. A. Baum, B. van Diedenhoven, and H. Iwabuchi, 2014: Assessment of the accuracy of the conventional ray-tracing technique: implications in remote sensing and radiative transfer involving ice clouds. J. Quant. Spectrosc. Radiat. Transfer, 146: 158-174.
6. Liu C., R. L., Panetta*, P., Yang, 2013: The effects of surface roughness on the scattering properties with sizes from the Rayleigh to the geometric-optics regimes. J. Quant. Spectrosc. Radiat. Transfer., 129:169-185. (5)
5. Liu C., R. L., Panetta*, P., Yang, A., Macke, and A. J. Baran, 2013: Modeling the scattering properties of mineral aerosols using concave fractal polyhedra. Applied Optic, 52: 640-652. (4)
4. Liu C., L., Bi, R. L., Panetta, P., Yang*, and M. A. Yurkin, 2012: Comparison of the pseudo-spectral time domain method and the discrete dipole approximation for light scattering simulations. Opt. Express, 20: 16763-16776. (3)
3. Liu C., R. L., Panetta, and P., Yang*, 2012: Application of the pseudo-spectral time domain method to compute particle single-scattering properties for size parameters up to 200. J. Quant. Spectrosc. Radiat. Transfer, 113: 1728-1740. (2)
2. Liu C., R. L., Panetta*, and P., Yang, 2012: The influence of water coating on the optical scattering properties of fractal soot aggregates. Aerosol Sci. Tech., 46: 32-43. (1)
1. Li, H., C. Liu, L. Bi, P. Yang*, and G. W. Kattawar, 2010: Numerical accuracy of “equivalent” spherical approximations for computing ensemble-averaged scattering properties of fractal soot aggregates, J. Quant. Spectrosc. Radiat. Transfer, 111, 2127-2132.

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刘超职务：大气物理学院副院长
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个人信息教师姓名：刘超
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[1]沙尘气溶胶光学特性数值模拟中非球形问题的研究, 2016-01-01, 进行
[2]卫星反演冰云特性不一致性研究, 2016-01-01, 进行
[3]基于非球形的黑碳气溶胶光学特性的数值研究, 2015-07-01, 进行
[4]针对风云卫星成像光谱仪的云特性反演算法及产品开发, 2015-08-30, 进行
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刘超职务：大气物理学院副院长
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个人信息教师姓名：刘超
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所在单位：大气物理学院
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联系方式： chao_liu@nuist.edu.cn
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曾获荣誉2017曾获荣誉当选：Waterman Award
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[1]Application of machine learning technique for hyperspectral radiative transfer simulations.J. Quant. Spectrosc. Radiat. Transfer.2020(246)
[2]Assessment of reanalysis data of the cloudy atmosphere with satellite observations over East Asia.Atmos. Meas. Tech..2020(13)
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