大气辐射与卫星遥感

2021

72.  Li, X., Y. Yang*, J. Mi., X. Bi, Y. Zhao, Z. Huang, C. Liu, L. Zong, and W. Li, 2021: Leveraging machine learning for quantitative precipitation estimation from Fengyun-4 geostationary observations and ground meteorological measurements, Atmos. Meas. Tech., 14, 7007-7023.

71. Jiang, S.*, Z. Wang, C. Liu, J. Lu, L. Lei, Y. Pan, Q. Li, W. Lyu, and Y. Zhang, 2021: Analysis and practice for observing artificially triggered lightning with a ground-based microwave radiometer, Atmos. Res., 264, 105851.

70. Zhou, Y.*, Y. Liu, and C. Liu, 2021: A machine learning-based method to account for 3D short-Wave radiative effects in 1D satellite observation operators, J. Quant. Spectrosc. Radiat. Transfer, 275, 107891.

69.  Zheng, H., S. Kong, N. Chen, Z. Fan, Y. Zhang, L. Yao, Y. Cheng, S. Zheng, Y. Yan, D. Liu, D. Zhao, C. Liu, T. Zhao, and S. Qi, 2021: A method to dynamically constrain black carbon aerosol sources with online monitored potassium, npj Climate and Atmospheric Science, 4, 43.

68. Yao, B., Y. Xu, A. E. Dessler, and C. Liu*, 2021: Characterizing unforced decadal climate variability in global climate model large ensembles, Clim. Dyn., doi: 10.1007/s00382-021-05900-y. (39)

67.  Tan, Z., C. Liu*, S. Ma, X. Wang, J. Wang, and W. Yan, 2020: Detecting multi-layer clouds from Himawari-8 satellite based on machine learning, IEEE Trans. Geos. Remote Sensing, in press. (38)

 66.  Liu, C., S. Yang, D. Di*, Y. Yang, C. Zhou, X. Hu, and B.-J. Sohn, 2021: A machine learning-based cloud detection algorithm for the Himawari-8 spectral imager, Adva. Atmo. Sci., doi:10.1007/s00376-021-0366. (37)

65.  Zong, L., H. Wang, G. Ning, Y. Li, Z. Gao, C. Liu, L. Wang, and Y. Yang*, 2020: Large-scale synoptic drivers of co-occurring summertime ozone and PM2.5 pollution in eastern China, Atmos. Chem. Phys., 21, 9105-9124.  

64.  Feng, X., J. Wang*, S. Teng, X. Xu, B. Zhu, J. Wang, X. Zhu, M. A. Yurkin, and C. Liu, 2021: Can light absorption of black carbon still be enhanced by mixing with absorbing materials? Atmos. Environ., 253, 118358.

63.  Kang, E., B.-J. Sohn*, R. Tonboe, G. Dybkjær, 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.

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.

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.

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.

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.

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.

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.

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.

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.

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_2.5 pollution 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/rs11232724.

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.

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.

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.

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.

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.

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.

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.

28.  Liu, C.*, C. E. Chung, Y. Yin, and M. Schnaiter, 2018: The absorption Ångström exponent of black carbon: from numerical aspects, Atmos. Chem. Phys., 18, 6259-6273. (ESI Highly Cited Paper)

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.

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.

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.

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.

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.

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.

18.  Li, J., C. Liu*, Y. Yin, and K. R. Kumar, 2016: Numerical investigation on the Ångström Exponent of black carbon aerosols. J. Geophys. Res. Atmos., 121, doi:10.1002/2015JD024718.

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. 

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.

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.

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.

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.

  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.

  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.

  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. 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. 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. 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. 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.  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.