2020
DOI: 10.1016/j.scitotenv.2020.138844
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Development of a coupled aerosol lidar data quality assurance and control scheme with Monte Carlo analysis and bilateral filtering

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Cited by 9 publications
(3 citation statements)
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“…Traditional LiDAR methods have well-established data quality evaluation systems and operational standards (Babbel et al, 2019;Wang et al, 2020). However, as of now, hyperspectral LiDAR measurements lack corresponding technical specifications and operational standards.…”
Section: Discussionmentioning
confidence: 99%
“…Traditional LiDAR methods have well-established data quality evaluation systems and operational standards (Babbel et al, 2019;Wang et al, 2020). However, as of now, hyperspectral LiDAR measurements lack corresponding technical specifications and operational standards.…”
Section: Discussionmentioning
confidence: 99%
“…AOD data from the AERONET Version 3 Level 2.0 database, which has assured quality after the screening of clouds, is used as the independent measurement to evaluate the DA performance. AOD data at 532 nm, used as independent validation dataset, is calculated from the AERONET AODs at 440 nm, 500 nm and 670 nm by quadratic polynomial interpolation (Eck et al, 1999;Wang et al, 2020b).…”
Section: Observational Datamentioning
confidence: 99%
“…This suggests that the lidar measurements assimilated indeed include authentic vertical distribution information of aerosols, and the NP-LIDAR experiment can notably improve the aerosol vertical distribution simulations and then improve the surface PM2.5 simulations in the numerical model, but the quantification especially on the surface PM2.5 mass concentration, needs to be strengthened. Apart from the solutions discussed in Section 3.2.1, a systematic lidar data quality assurance and control scheme (Wang et al, 2020b) is another method to solve this problem and is urgently needed for further research.…”
Section: Independent Validationmentioning
confidence: 99%