Climatology of Fine and Coarse Mode Aerosol Optical Thickness Over East and South Asia Derived From POLDER/PARASOL Satellite

Li, Lei; Che, Huizheng; Derimian, Yevgeny; Dubovik, Оleg; Luan, Qingzu; Li, Qiuyue; Huang, X.; Zhao, Huiling; Gui, Ke; Zheng, Yu; An, Linchang; Sun, Tianze; Liang, Yuanxin

doi:10.1029/2020jd032665

Cited by 19 publications

(8 citation statements)

References 90 publications

(141 reference statements)

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“…The results suggest that the fine mode is the main part of the aerosol. It is also consistent with the results obtained by Li et al [26]. The AAOD of Hebei and Shandong province are also higher than those in the Shanxi (110 Moreover, the spectral behavior of AOD in the 440-1020 nm range manifests itself in monotonic decrease as the wavelength increases, which is consistent with the results obtained by Chen et al [32].…”

Section: Grasp/component Retrievalsupporting

confidence: 92%

“…Recently a module for aerosol component retrieval was incorporated into the GRASP algorithm, called the GRASP/Components algorithm, in order to directly infer information about aerosol components from measured radiances together with size distribution that allows for retrieving also all optical properties such as aerosol optical depth in fine and coarse mode, single scattering albedo, etc. [26,27]. The main specifics of GRASP/Components relate to the modeling of aerosol optical properties.…”

Section: Grasp/component Retrievalmentioning

confidence: 99%

“…Moreover, Li et al [18] developed in the frame of GRASP algorithm [21,25] an approach designed for direct retrieval of main aerosol components from directional polarimetric satellite observations. The successful applicability of this approach was illustrated in several studies [26,27]. In this study, we explore the utilization of this approach in conjunction with analysis of the air quality and meteorological data.…”

Section: Introductionmentioning

confidence: 99%

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Spatio-Temporal Variability of Aerosol Components, Their Optical and Microphysical Properties over North China during Winter Haze in 2012, as Derived from POLDER/PARASOL Satellite Observations

et al. 2021

Remote Sensing

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Pollution haze is a frequent phenomenon in the North China Plain (NCP) appearing during winter when the aerosol is affected by various pollutant sources and has complex distribution of the aerosol properties, while different aerosol components may have various critical effects on air quality, human health and radiative balance. Therefore, large-scale and accurate aerosol components characterization is urgently and highly desirable but hardly achievable at the regional scale. In this respect, directional and polarimetric remote sensing observations have great potential for providing information about the aerosol components. In this study, a state-of-the-art GRASP/Component approach was employed for attempting to characterize aerosol components in the NCP using POLDER/PARASOL satellite observations. The analysis was done for January 2012 in Beijing (BJ) and Shanxi (SX). The results indicate a peak of the BC mass concentration in an atmospheric column of 82.8 mg/m2 in the SX region, with a mean of 29.2 mg/m2 that is about four times higher than one in BJ (8.9 mg/m2). The mean BrC mass concentrations are, however, higher in BJ (up to ca. 271 mg/m2) than that in SX, which can be attributed to a higher anthropogenic emission. The mean amount of fine ammonium sulfate-like particles observed in the BJ region was three times lower than in SX (131 mg/m2). The study also analyzes meteorological and air quality data for characterizing the pollution event in BJ. During the haze episode, the results suggest a rapid increase in the fine mode aerosol volume concentration associated with a decrease of a scale height of aerosol down to 1500 m. As expected, the values of aerosol optical depth (AOD), absorbing aerosol optical depth (AAOD) and fine mode aerosol optical depth (AODf) are much higher on hazy days. The mass fraction of ammonium sulfate-like aerosol increases from about 13% to 29% and mass concentration increases from 300 mg/m2 to 500 mg/m2. The daily mean PM2.5 concentration and RH independently measured during these reported pollution episodes reach up to 425 g/m3 and 80% correspondingly. The monthly mean mass concentrations of other aerosol components in the BJ are found to be in agreement with the results of previous research works. Finally, a preliminary comparison of these remote sensing derived results with literature and in situ PM2.5 measurements is also presented.

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Section: Grasp/component Retrievalsupporting

confidence: 92%

Section: Grasp/component Retrievalmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Spatio-Temporal Variability of Aerosol Components, Their Optical and Microphysical Properties over North China during Winter Haze in 2012, as Derived from POLDER/PARASOL Satellite Observations

et al. 2021

Remote Sensing

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“…However, the analysis based on MODIS AI or AOD f is not conducted in this study due to the poor skill in retrieving aerosol size parameters over land 31 . As an alternative, the sparser but more reliable POLarization and Directionality of Earth’s Reflectance-3 (POLDER-3) AOD f 41 is used here, which has been extensively validated with ground-based observations over land 42 , 43 . Since the sparseness of POLDER-3 AOD f would result in a serious lack of data, we also employ MERRA-2 AOD f with full spatial and temporal coverage, which is calculated as the sum of AODs of sulfate, black carbon, organic aerosols, and 30% sea salt aerosols 6 .…”

Section: Resultsmentioning

confidence: 99%

Significant underestimation of radiative forcing by aerosol–cloud interactions derived from satellite-based methods

Jia

et al. 2021

Nat Commun

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Satellite-based estimates of radiative forcing by aerosol–cloud interactions (RFaci) are consistently smaller than those from global models, hampering accurate projections of future climate change. Here we show that the discrepancy can be substantially reduced by correcting sampling biases induced by inherent limitations of satellite measurements, which tend to artificially discard the clouds with high cloud fraction. Those missed clouds exert a stronger cooling effect, and are more sensitive to aerosol perturbations. By accounting for the sampling biases, the magnitude of RFaci (from −0.38 to −0.59 W m−2) increases by 55 % globally (133 % over land and 33 % over ocean). Notably, the RFaci further increases to −1.09 W m−2 when switching total aerosol optical depth (AOD) to fine-mode AOD that is a better proxy for CCN than AOD. In contrast to previous weak satellite-based RFaci, the improved one substantially increases (especially over land), resolving a major difference with models.

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“…The «models» approach uses the assumption of an external mixture of several aerosol components (see Eq 3.10-3.11) and directly retrieved parameters include aerosol concentrations and a scale height. In addition, recently POLDER-3/GRASP aerosol product has been generated using "component" approach (Li et al, 2019;Li et al, 2020a;Li et al, 2020b). This approach retrieves the size resolved fractions of aerosol components representing the different composition species, such as black carbon, brown carbon, fine/coarse mode non-absorbing soluble and insoluble, coarse mode absorbing and aerosol water.…”

Section: Satellite and Airborne Passive Observationsmentioning

confidence: 99%

A Comprehensive Description of Multi-Term LSM for Applying Multiple a Priori Constraints in Problems of Atmospheric Remote Sensing: GRASP Algorithm, Concept, and Applications

Dubovik

Fuertes²,

Litvinov³

et al. 2021

Front. Remote Sens.

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Climatology of Fine and Coarse Mode Aerosol Optical Thickness Over East and South Asia Derived From POLDER/PARASOL Satellite

Cited by 19 publications

References 90 publications

Spatio-Temporal Variability of Aerosol Components, Their Optical and Microphysical Properties over North China during Winter Haze in 2012, as Derived from POLDER/PARASOL Satellite Observations

Spatio-Temporal Variability of Aerosol Components, Their Optical and Microphysical Properties over North China during Winter Haze in 2012, as Derived from POLDER/PARASOL Satellite Observations

Significant underestimation of radiative forcing by aerosol–cloud interactions derived from satellite-based methods

A Comprehensive Description of Multi-Term LSM for Applying Multiple a Priori Constraints in Problems of Atmospheric Remote Sensing: GRASP Algorithm, Concept, and Applications

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