• Acta Optica Sinica
  • Vol. 37, Issue 5, 501001 (2017)
Lü Jie1、2, Zhu Wenyue1, Cai Jun1、2, and Qing Chun1、2
Author Affiliations
  • 1[in Chinese]
  • 2[in Chinese]
  • show less
    DOI: 10.3788/aos201737.0501001 Cite this Article Set citation alerts
    Lü Jie, Zhu Wenyue, Cai Jun, Qing Chun. Comparison of Two Approaches for Estimating Atmospheric Optical Turbulence Intensity near Sea[J]. Acta Optica Sinica, 2017, 37(5): 501001 Copy Citation Text show less
    References

    [1] Li Yunbo, Huang Xiaomao, Yu Junhao, et al. Comparison and improvement of the atmospheric optical turbulence model in near sea surface[J]. Acta Optica Sinica, 2012, 32(11): 1101004.

    [2] Wyngaard J C, Izumi Y, Collins S A. Behavior of the refractive index structure parameter near the ground[J]. Journal of the Optical Society of America, 1971, 61(12): 1646-1650.

    [3] Wyngaard J C. On surface layer turbulence in workshop on micrometeorology[M]. Boston: American Meteorological Society, 1973: 101-149.

    [4] Friehe C A, La Rue J C, Chanmpagne F H, et al. Effects of temperature and humidity fluctuations on the optical refractive index in the marine boundary layer[J]. Journal of the Optical Society of America, 1975, 65(12): 1502-1511.

    [5] Davidson K L, Schacher G E, Fairall C W, et al. Verification of the bulk method for calculating overwater optical turbulence[J]. Applied Optics, 1981, 20(17): 2919-2923.

    [6] Andreas E L. Estimating C2n over snow and sea ice from meteorological data[J]. Journal of the Optical Society of America, 1988, 5(4): 481-495.

    [7] Frederickson P A, Davidson K L, Zeisse C R, et al. Estimating the refractive index structure parameter (C2n) over the ocean using Bulk methods[J]. Journal of Applied Meteorology, 2000, 39(10): 1770-1783.

    [8] Sadot D, Kopeika N S. Forecasting optical turbulence strength on the basis of macroscale meteorology and aerosols: Models and validation[J]. Optical Engineering, 1992, 31(2): 200-212.

    [9] Frehlich R, Sharman R, Vandenberghe F, et al. Estimates of C2n from numerical weather prediction model output and comparison with thermosonde data[J]. Journal of Applied Meteorology and climatology, 2010, 49: 1742-1755.

    [10] Qing Chun, Wu Xiaoqing, Li Xuebin, et al. Estimation of atmospheric optical turbulence profile by WRF model at Gaomeigu[J]. Chinese J Lasers, 2015, 42(9): 0913001.

    [11] Qing Chun, Wu Xiaoqing, Li Xuebin, et al. Research on simulating atmospheric optical turbulence in typical area[J]. Acta Optica Sinica, 2016, 36(5): 0501001.

    [12] Qing C, Wu X Q, Li X B, et al. Use of weather research and forecasting model outputs to obtain near-surface refractive index structure constant over the ocean[J]. Optics Express, 2016, 24(12): 13303-13315.

    [13] Zhang Ren, Jiang Guorong, Yu Zhihao, et al. Establishment of prediction model for the pacific subtropical high using neural network calculation method[J]. Quarterly Journal of Applied Meteorology, 2000, 11(4): 474-483.

    [14] Wang Y, Basu S. Using an artificial neural network approach to estimate surface-layer optical turbulence at Mauna Loa, Hawaii[J]. Optics Letters, 2016, 41(10): 2334-2337.

    [15] Hu Jifu. Statistic analysis and methods in meteorology[M]. Qingdao: Ocean University of China Press, 1996: 46-47.

    [16] Huang Jiayou. Statistic analysis and forecast methods in meteorology[M]. Beijing: China Meteorological Press, 2000: 60-75.

    [17] Yuan Zengren. Artificial neuron network and its application[M]. Beijng: Tsinghua University Press, 1999: 66-70.

    [18] Liu De, Li Jing, Li Yonghua, et al. Application experiment of BP neural network model in long-term weather forecasts[J]. Meteorological Science and Technology, 2006, 34(3): 250-253.

    [19] Zhou Kaili, Kang Yaohong. Neural network model and simulation design by MATLAB[M]. Beijing: Tsinghua University Press, 2005: 81-90.

    Lü Jie, Zhu Wenyue, Cai Jun, Qing Chun. Comparison of Two Approaches for Estimating Atmospheric Optical Turbulence Intensity near Sea[J]. Acta Optica Sinica, 2017, 37(5): 501001
    Download Citation