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Article Dans Une Revue Journal of Quantitative Spectroscopy and Radiative Transfer Année : 2022

Multiple scattering effect of water clouds on spaceborne oceanic lidar signals

Xiaoyu Cui
  • Fonction : Auteur
Qun Liu
  • Fonction : Auteur
Qiuling Gu
  • Fonction : Auteur
Shizhe Ma
  • Fonction : Auteur
Peituo Xu
  • Fonction : Auteur
Kai Zhang
Yatong Chen
  • Fonction : Auteur
Yudi Zhou
  • Fonction : Auteur
Chong Liu
  • Fonction : Auteur
Aleksey Malinka
  • Fonction : Auteur
Dong Liu
  • Fonction : Auteur

Résumé

Multiple scattering effect in water clouds influences the shape and intensity of the return signals of spaceborne oceanic lidar. The contaminated signals will introduce errors into the retrieval of effective attenuation coefficient klidar of seawater and eventually affect the detection accuracy of seawater's inherent optical properties (IOPs). The multiple scattering effect of water clouds on spaceborne oceanic lidar signals is quantified in this paper. Two main parameters of the lidar signals from the seawater are analyzed, including the effective attenuation coefficient klidar and signal intensity ratio R with or without water clouds using a spaceborne oceanic lidar emulator. The results show that the lidar signals from the seawater below water clouds are both related to the cloud base height (CBH) and the cloud optical depth (COD). When the COD is less than 5, and CBH is relatively low (<2 km on average), the relative difference of the effective attenuation coefficient δ is within 30%. The δ is within 20% under the condition that the COD is less than 3 and the CBH is higher than 1.8 km. Moreover, this paper gives the relationship among R, COD and CBH. This work provides significant information for the development of a spaceborne oceanic profiling lidar.
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Dates et versions

insu-03688091 , version 1 (03-06-2022)

Identifiants

Citer

Xiaoyu Cui, Qun Liu, Qiuling Gu, Shizhe Ma, Peituo Xu, et al.. Multiple scattering effect of water clouds on spaceborne oceanic lidar signals. Journal of Quantitative Spectroscopy and Radiative Transfer, 2022, 288, pp.108253. ⟨10.1016/j.jqsrt.2022.108253⟩. ⟨insu-03688091⟩
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