Improved method to retrieve aerosol optical properties from combined elastic backscatter and Raman lidar data

Jia, Suotang; Wu, Yonghua; McCormick, M. P.; Lei, Liqiao; Lee, Robert B.

doi:10.1007/s00340-013-5648-2

Cited by 9 publications

(4 citation statements)

References 13 publications

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“…where z c is the calibration height, which is generally taken near the tropopause; the aerosol backscatter ratio is R(z c ) = 1 + β a (z c )/β m (z c ), and for 355 nm, its value is usually assumed to be 1.001 [27]; S 1 is the Lidar ratio of aerosols, which is obtained by inversion of Raman signals in adjacent time periods [28]; S 2 is the Lidar ratio of atmospheric molecules, which is equal to 8π/3. The Raman method is implemented in this work for comparison.…”

Section: Experiments and Methodsmentioning

confidence: 99%

UAVC: A New Method for Correcting Lidar Overlap Factors Based on Unmanned Aerial Vehicle Vertical Detection

et al. 2021

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A method to calibrate the overlap factor of Lidar is proposed, named unmanned aerial vehicle correction (UAVC), which uses unmanned aerial vehicles (UAVs) to detect the vertical distribution of particle concentrations. The conversion relationship between the particulate matter concentration and the aerosol extinction coefficient is inverted by the high-altitude coincidence of the vertical detection profiles of the UAV and Lidar. Using this conversion relationship, the Lidar signal without the influence of the overlap factor can be inverted. Then, the overlap factor profile is obtained by comparing the signal with the original Lidar signal. A 355 nm Raman-Mie Lidar and UAV were used to measure overlap factors under different weather conditions. After comparison with the Raman method, it is found that the overlap factors calculated by the two methods are in good agreement. The changing trend of the extinction coefficient at each height is relatively consistent, after comparing the inversion result of the corrected Lidar signal with the ground data. The results show that after the continuously measured Lidar signal is corrected by the overlap factor measured by this method, low-altitude aerosol information can be effectively obtained.

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Section: Experiments and Methodsmentioning

confidence: 99%

UAVC: A New Method for Correcting Lidar Overlap Factors Based on Unmanned Aerial Vehicle Vertical Detection

et al. 2021

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“…A few researchers have proposed methods by combining N 2 -Raman and Mie signal, but these methods still do not completely avoid calculating the numerical derivative [20,21]. The improved method proposed by Molero and Pujadas can obtain ABC without calculating the numerical derivative for AEC, but it is affected by overlap near the ground [22].…”

Section: Introductionmentioning

confidence: 96%

“…The improved method proposed by Molero and Pujadas can obtain ABC without calculating the numerical derivative for AEC, but it is affected by overlap near the ground [22]. An improved method for AEC proposed by Su with Fernald method [21], but it need to assume the lidar ratio is constant at first. Thus, the search for new or improved methods for aerosol optical properties is still important.…”

Section: Introductionmentioning

confidence: 99%

Improved method for retrieving the aerosol optical properties without the numerical derivative for Raman–Mie lidar

Gong

Wang

Mao

et al. 2015

Optics Communications

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“…In order to avoid such errors, one may use the technique of signal smoothing [35]. The retrieval technique can be improved further using near-range reference height [36]. The proper reference height can be determined using signal-to-noise ratio and normalized standard deviation [37].…”

Section: Introductionmentioning

confidence: 99%

Profiling of Aerosols and Clouds over High Altitude Urban Atmosphere in Eastern Himalaya: A Ground-Based Observation Using Raman LIDAR

et al. 2023

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Profiles of aerosols and cloud layers have been investigated over a high-altitude urban atmosphere in the eastern Himalayas in India, for the first time, using a Raman LIDAR. The study was conducted post-monsoon season over Darjeeling (latitude 27°01′ N longitude 88°36′ E, 2200 masl), a tourist destination in north-eastern India. In addition to the aerosols and cloud characterization and atmospheric boundary layer detection, the profile of the water vapor mixing ratio has also been analyzed. Effects of atmospheric dynamics have been studied using the vertical profiles of the normalized standard deviation of RCS along with the water vapor mixing ratio. The aerosol optical characteristics below and above the Atmospheric Boundary Layer (ABL) region were studied separately, along with the interrelation of their optical and microphysical properties with synoptic meteorological parameters. The backscatter coefficient and the extinction coefficient were found in the range from 7.15×10−10 m−1 sr−1 to 3.01×10−5 m−1 sr−1 and from 1.02×10−5 m−1 to 2.28×10−3 m−1, respectively. The LIDAR ratio varies between 3.9 to 78.39 sr over all altitudes. The variation of the linear depolarization ratio from 0.19 to 0.32 indicates the dominance, of non-spherical particles. The periodicity observed in different parameters may be indicative of atmospheric wave phenomena. Cloud parameters, such as scattering coefficients, top and bottom height, and optical depth for different cloud phases, have been evaluated. A co-located Micro Rain Radar has been used with LIDAR for cloud life cycle study.

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Improved method to retrieve aerosol optical properties from combined elastic backscatter and Raman lidar data

Cited by 9 publications

References 13 publications

UAVC: A New Method for Correcting Lidar Overlap Factors Based on Unmanned Aerial Vehicle Vertical Detection

UAVC: A New Method for Correcting Lidar Overlap Factors Based on Unmanned Aerial Vehicle Vertical Detection

Improved method for retrieving the aerosol optical properties without the numerical derivative for Raman–Mie lidar

Profiling of Aerosols and Clouds over High Altitude Urban Atmosphere in Eastern Himalaya: A Ground-Based Observation Using Raman LIDAR

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