• Laser & Optoelectronics Progress
  • Vol. 57, Issue 19, 192802 (2020)
Ting Zhang1、*, Lei Liu2, Taichang Gao2, and Shuai Hu2
Author Affiliations
  • 1Hebei Provincial Meteorological Technical Equipment Center, Shijiazhuang, Hebei 0 50021, China
  • 2College of Meteorology and Oceanography, National University of Defense Technology, Nanjing, Jiangsu 211101, China
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    DOI: 10.3788/LOP57.192802 Cite this Article Set citation alerts
    Ting Zhang, Lei Liu, Taichang Gao, Shuai Hu. Optical Depth Inversion Technique Under Joint Cloud Measurement System[J]. Laser & Optoelectronics Progress, 2020, 57(19): 192802 Copy Citation Text show less

    Abstract

    To improve the accuracy of all-sky cloud detection of ground-based infrared cloud-measuring system, the corresponding relation between downwelling infrared radiation and optical depth of clouds was simulated by Santa Barbara DISTORT Atmospheric Radiative Transfer (SBDART) model. The simulation result shows that it is feasible to invert optical depth by fitting its curve. On this basis, a new method under a combination of infrared and laser technologies was proposed. First, more accurate atmospheric profiles and precipitable water vapor applicable to specific regions and seasons were established. Simultaneously, the aerosol and cloud base height were inverted by laser extinction profiles. Second, the atmospheric parameters obtained above were substituted into SBDART to simulate the cloud optical depth inversion curve at zenith. Finally, the optical depth distribution of the all-sky clouds could be inverted by the curve. The experimental results reveal that the distribution of the all-sky optical depth obtained from the inversion curve of single- and two-layer clouds is consistent with the distribution of the all-sky radiation. Moreover, the optical depth of clouds at different heights in the all-sky is clearly distinguished.
    Ting Zhang, Lei Liu, Taichang Gao, Shuai Hu. Optical Depth Inversion Technique Under Joint Cloud Measurement System[J]. Laser & Optoelectronics Progress, 2020, 57(19): 192802
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