Satellite-based PM2.5 estimation using fine-mode aerosol optical thickness over China

Xiao, Yan; Shi, Wenzhong; Li, Zhanqing; Li, Zhengqiang; Luo, Nana; Zhao, Wenji; Wang, Haofei; Yu, Xue

doi:10.1016/j.atmosenv.2017.09.023

Cited by 44 publications

(28 citation statements)

References 59 publications

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“…More importantly, it has been recognized that the AOD of fine‐mode aerosols retrieved from space is more useful in estimating surface PM 2.5 . Note that it was not until recently that the fine‐mode fraction could be estimated from satellites with reasonable accuracy (Yan, Li, et al, ; Yan, Shi, et al, ;Yan, et al, ). A higher accuracy ( R 2 ~0.85 or higher) in the estimation of PM 2.5 was recently achieved by means of machine learning using the inputs of either satellite‐derived AOD (Wei et al, ) or satellite‐measured radiances (J. Liu et al, ), together with ancillary data such as meteorology and topography.…”

Section: Ground‐based Airborne and Spaceborne Observations And Modementioning

confidence: 99%

East Asian Study of Tropospheric Aerosols and their Impact on Regional Clouds, Precipitation, and Climate (EAST‐AIR_CPC)

et al. 2019

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Aerosols have significant and complex impacts on regional climate in East Asia. Cloud‐aerosol‐precipitation interactions (CAPI) remain most challenging in climate studies. The quantitative understanding of CAPI requires good knowledge of aerosols, ranging from their formation, composition, transport, and their radiative, hygroscopic, and microphysical properties. A comprehensive review is presented here centered on the CAPI based chiefly, but not limited to, publications in the special section named EAST‐AIRcpc concerning (1) observations of aerosol loading and properties, (2) relationships between aerosols and meteorological variables affecting CAPI, (3) mechanisms behind CAPI, and (4) quantification of CAPI and their impact on climate. Heavy aerosol loading in East Asia has significant radiative effects by reducing surface radiation, increasing the air temperature, and lowering the boundary layer height. A key factor is aerosol absorption, which is particularly strong in central China. This absorption can have a wide range of impacts such as creating an imbalance of aerosol radiative forcing at the top and bottom of the atmosphere, leading to inconsistent retrievals of cloud variables from space‐borne and ground‐based instruments. Aerosol radiative forcing can delay or suppress the initiation and development of convective clouds whose microphysics can be further altered by the microphysical effect of aerosols. For the same cloud thickness, the likelihood of precipitation is influenced by aerosols: suppressing light rain and enhancing heavy rain, delaying but intensifying thunderstorms, and reducing the onset of isolated showers in most parts of China. Rainfall has become more inhomogeneous and more extreme in the heavily polluted urban regions.

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Section: Ground‐based Airborne and Spaceborne Observations And Modementioning

confidence: 99%

East Asian Study of Tropospheric Aerosols and their Impact on Regional Clouds, Precipitation, and Climate (EAST‐AIR_CPC)

et al. 2019

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“…AGrayWolf 6-channel handheld particle/mass meter (PC-3016A) was used to monitor the 10 mass concentrations of PM2.5 and PM1 (Yan et al, 2017 operations of the ACSM and data analysis can be found elsewhere (e.g., Sun et al, 2016;Zhang 14 et al, 2016Zhang 14 et al, , 2017. The aerosol GF at RH = ~85% was retrieved by an H-TDMA.…”

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confidence: 99%

Aerosol hygroscopic growth, contributing factors and impact on haze events in a severely polluted region in northern China

Li¹,

Lv²,

Wang³

et al. 2018

Preprint

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Abstract:1 The hygroscopic growth of aerosol particles is a key factor of air pollution because it 2 can significantly reduce visibility. In order to better understand the impact of the 3 hygroscopic growth effect on haze events and contributing factors, we made use of rich 4 measurements during an intensive field campaign conducted in Xingtai, Hebei province 5 of China that has suffered from the most serious pollution in the Northern China Plain. 6Key measurements are from Raman lidar and ground-based instruments such as a 7GrayWolf 6-channel handheld particle/mass meter for atmospheric particulate matter 8 that have diameters less than 1 µm and 2.5 µm (PM1 and PM2.5, respectively), aerosol The aerosol acidity value of Case II (1.50) was greater than that of Case I (1.35) due to

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“…where V is the particle volume, r is the radius, dV/d ln r represents the volume contained in each logarithmic particle size interval, r v and σ g represent the volume geometric median radius and the geometric standard deviation, respectively, and the superscript "i" denotes the aerosol mode; hereafter, Atmosphere 2019, 10,196 3 of 15…”

Section: Aerosol Modelmentioning

confidence: 99%

“…Thus, the estimation of the PM 2.5 mass concentration near the surface has been extensively studied using ground-based and satellite platforms, such as the pure physical PM 2.5 remote sensing (PMRS) method [7][8][9]. As a parameter to describe the proportion of fine particles in aerosols, fine-mode fraction (FMF) is a key factor in the physical model, which can increase people's understanding of anthropogenic aerosols and help to analyze the impacts of human activities on environmental changes and human health [10,11].…”

Section: Introductionmentioning

confidence: 99%

Optimal Estimation Retrieval of Aerosol Fine-Mode Fraction from Ground-Based Sky Light Measurements

et al. 2019

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In this paper, the feasibility of retrieving the aerosol fine-mode fraction (FMF) from ground-based sky light measurements is investigated. An inversion algorithm, based on the optimal estimation (OE) theory, is presented to retrieve FMF from single-viewing multi-spectral radiance measurements and to evaluate the impact of utilization of near-infrared (NIR) measurements at a wavelength of 1610 nm in aerosol remote sensing. Self-consistency tests based on synthetic data produced a mean relative retrieval error of 4.5%, which represented the good performance of the OE inversion algorithm. The proposed algorithm was also performed on real data taken from field experiments in Beijing during a haze pollution event. The correlation coefficients (R) for the retrieved aerosol volume fine-mode fraction (FMFv) and optical fine-mode fraction (FMFo) against AErosol RObotic NETwork (AERONET) products were 0.94 and 0.95 respectively, and the mean residual error was 4.95%. Consequently, the inversion of FMFv and FMFo could be well constrained by single-viewing multi-spectral radiance measurement. In addition, by introducing measurements of 1610 nm wavelength into the retrieval, the validation results showed a significant improvement in the R value for FMFo (from 0.89–0.94). These results confirm the high value of NIR measurements for the retrieval of coarse mode aerosols.

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Satellite-based PM2.5 estimation using fine-mode aerosol optical thickness over China

Cited by 44 publications

References 59 publications

East Asian Study of Tropospheric Aerosols and their Impact on Regional Clouds, Precipitation, and Climate (EAST‐AIR_CPC)

East Asian Study of Tropospheric Aerosols and their Impact on Regional Clouds, Precipitation, and Climate (EAST‐AIR_CPC)

Aerosol hygroscopic growth, contributing factors and impact on haze events in a severely polluted region in northern China

Optimal Estimation Retrieval of Aerosol Fine-Mode Fraction from Ground-Based Sky Light Measurements

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Satellite-based PM2.5 estimation using fine-mode aerosol optical thickness over China

Cited by 44 publications

References 59 publications

East Asian Study of Tropospheric Aerosols and their Impact on Regional Clouds, Precipitation, and Climate (EAST‐AIRCPC)

East Asian Study of Tropospheric Aerosols and their Impact on Regional Clouds, Precipitation, and Climate (EAST‐AIRCPC)

Aerosol hygroscopic growth, contributing factors and impact on haze events in a severely polluted region in northern China

Optimal Estimation Retrieval of Aerosol Fine-Mode Fraction from Ground-Based Sky Light Measurements

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East Asian Study of Tropospheric Aerosols and their Impact on Regional Clouds, Precipitation, and Climate (EAST‐AIR_CPC)

East Asian Study of Tropospheric Aerosols and their Impact on Regional Clouds, Precipitation, and Climate (EAST‐AIR_CPC)