The characteristics and sources of the aerosols within the nocturnal residual layer over Wuhan, China

Liu, Boming; Ma, Yingying; Shi, Yifan; Jin, Shikuan; Jin, Yinbao; Gong, Wei

doi:10.1016/j.atmosres.2020.104959

Cited by 35 publications

(28 citation statements)

References 48 publications

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“…The structure of PBL is considerably affected by topography, season and weather (Eresmaa et al, 2006;Guo et al, 2016). PBL height (PBLH) is directly related to the accumulation and diffusion of pollutants, and it can also be used as the input parameter of atmospheric chemical models and weather forecast systems (Liu et al, 2020;Shi et al, 2020). The continuous observation of PBL is conducive to investigating the spatial and temporal distributions of pollutants and further optimising pollution simulation (Liu et al, 2018;Seibert et al, 2000).…”

Section: Introductionmentioning

confidence: 99%

Evaluation of retrieval methods for planetary boundary layer height based on radiosonde data

Li¹,

Liu²,

Ma³

et al. 2021

Preprint

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Abstract. Radiosonde (RS) is widely used to detect the vertical structures of the planetary boundary layer (PBL), and numerous methods have been proposed for retrieving PBL height (PBLH) from RS data. However, an algorithm that is suitable under all atmospheric conditions does not exist. This study evaluates the performance of four common PBLH algorithms under different thermodynamic stability conditions based on RS data collected from nine sites in January–December 2019. The four RS algorithms are the potential temperature gradient method (GMθ), relative humidity (RH) gradient method (GMRH), parcel method (PM) and Richardson number method (RM). Atmospheric conditions are divided into convective boundary layer (CBL), neutral boundary layer (NBL) and stable boundary layer (SBL) on the basis of the potential temperature profile. Results indicate that SBL is dominant at nighttime, whilst CBL dominates at daytime. Intercomparisons show that PBLH retrieved via RM is typically higher than those retrieved using the other methods under all and SBL conditions. PBLH retrieved using GMθ and GMRH is relatively low. PBLH from PM is the lowest under all and SBL classifications, and the highest under CBL and NBL classifications. Moreover, the uncertainty analysis shows that PBLH retrieved using different algorithms is consistent in most cases (more than 80 %) under CBL and NBL conditions. By contrast, the consistency of PBLH is less than 60 % under SBL condition. The average profiles and standard deviations of wind speed and potential temperature under consistent and inconsistent conditions indicate that consistent cases are typically accompanied by evident atmospheric stratification, such as a large gradient in the potential temperature profile or a low-level jet in the wind speed profile. These findings indicate that the reliability of the PBLH results retrieved from RS data is affected by the structure of the boundary layer. Overall, GMθ and RM are appropriate for CBL condition. GMθ and PM are recommended for NBL condition. GMθ and GMRH are robust for SBL condition. This comprehensive comparison provides a reference for selecting the appropriate algorithm when retrieving PBLH from RS data.

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Section: Introductionmentioning

confidence: 99%

Evaluation of retrieval methods for planetary boundary layer height based on radiosonde data

Li¹,

Liu²,

Ma³

et al. 2021

Preprint

Self Cite

View full text Add to dashboard Cite

show abstract

“…Atmospheric aerosols are a fundamental part of the Earth’s atmosphere with a significant impact on climate, as they can interact with radiation and clouds [ 1 , 2 , 3 ]. Atmospheric aerosols are difficult to characterize due to their highly variable spatio-temporal distribution and their production mechanisms.…”

Section: Introductionmentioning

confidence: 99%

“…Atmospheric aerosols are difficult to characterize due to their highly variable spatio-temporal distribution and their production mechanisms. Moreover, natural and anthropogenic aerosols from different sources can be mixed or aged during transport, which furthermore influences their properties [ 1 , 2 , 3 ].…”

Section: Introductionmentioning

confidence: 99%

Canadian Biomass Burning Aerosol Properties Modification during a Long-Ranged Event on August 2018

Papanikolaou

Giannakaki

Papayannis

et al. 2020

Sensors

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The aim of this paper is to study the spatio-temporal evolution of a long-lasting Canadian biomass burning event that affected Europe in August 2018. The event produced biomass burning aerosol layers which were observed during their transport from Canada to Europe from the 16 to the 26 August 2018 using active remote sensing data from the space-borne system Cloud-Aerosol Lidar and Infrared Pathfinder Satellite Observation (CALIPSO). The total number of aerosol layers detected was 745 of which 42% were identified as pure biomass burning. The remaining 58% were attributed to smoke mixed with: polluted dust (34%), clean continental (10%), polluted continental (5%), desert dust (6%) or marine aerosols (3%). In this study, smoke layers, pure and mixed ones, were observed by the CALIPSO satellite from 0.8 and up to 9.6 km height above mean sea level (amsl.). The mean altitude of these layers was found between 2.1 and 5.2 km amsl. The Ångström exponent, relevant to the aerosol backscatter coefficient (532/1064 nm), ranged between 0.9 and 1.5, indicating aerosols of different sizes. The mean linear particle depolarization ratio at 532 nm for pure biomass burning aerosols was found equal to 0.05 ± 0.04, indicating near spherical aerosols. We also observed that, in case of no aerosol mixing, the sphericity of pure smoke aerosols does not change during the air mass transportation (0.05–0.06). On the contrary, when the smoke is mixed with dessert dust the mean linear particle depolarization ratio may reach values up to 0.20 ± 0.04, especially close to the African continent (Region 4).

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“…The measurement accuracy of atmospheric CO 2 column concentration [ 2 , 3 , 4 ] needs to reach ~0.3% to improve the accuracy of carbon source and sink calculation. This goal is difficult to achieve for passive spectrometers using reflected sunlight, due to scattering from atmospheric aerosols and low coverage at high latitudes [ 5 , 6 , 7 , 8 , 9 , 10 , 11 , 12 , 13 , 14 , 15 , 16 ].…”

Section: Introductionmentioning

confidence: 99%

High-Precision CO2 Column Length Analysis on the Basis of a 1.57-μm Dual-Wavelength IPDA Lidar

Zhang

Han

et al. 2020

Sensors

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For high-precision measurements of the CO2 column concentration in the atmosphere with airborne integrated path differential absorption (IPDA) Lidar, the exact distance of the Lidar beam to the scattering surface, that is, the length of the column, must be measured accurately. For the high-precision inversion of the column length, we propose a set of methods on the basis of the actual conditions, including autocorrelation detection, adaptive filtering, Gaussian decomposition, and optimized Levenberg–Marquardt fitting based on the generalized Gaussian distribution. Then, based on the information of a pair of laser pulses, we use the direct adjustment method of unequal precision to eliminate the error in the distance measurement. Further, the effect of atmospheric delay on distance measurements is considered, leading to further correction of the inversion results. At last, an airborne experiment was carried out in a sea area near Qinhuangdao, China on March 14, 2019. The results showed that the ranging accuracy can reach 0.9066 m, which achieved an excellent ranging accuracy on 1.57-μm IPDA Lidar and met the requirement for high-precision CO2 column length inversion.

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The characteristics and sources of the aerosols within the nocturnal residual layer over Wuhan, China

Cited by 35 publications

References 48 publications

Evaluation of retrieval methods for planetary boundary layer height based on radiosonde data

Evaluation of retrieval methods for planetary boundary layer height based on radiosonde data

Canadian Biomass Burning Aerosol Properties Modification during a Long-Ranged Event on August 2018

High-Precision CO2 Column Length Analysis on the Basis of a 1.57-μm Dual-Wavelength IPDA Lidar

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