A Comparison of the Different Stages of Dust Events over Beijing in March 2021: The Effects of the Vertical Structure on Near-Surface Particle Concentration

Wang, Futing; Yang, Ting; Wang, Zifa; Cao, Jie; Liu, Benli; Liu, Jianbao; Chen, Shengqian; Liu, Shulin; Jia, Binghao

doi:10.3390/rs13183580

Cited by 13 publications

(7 citation statements)

References 58 publications

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“…The carbonate mean values were close for types I and II, with the highest peak from type I at 9% and the lowest from type III at 5.2%. More intense optical thickness values were found in this case since the dust mass concentration emitted reached almost 1 × 10 4 µg/m 3 of the May 2017 values of less than 5 × 10 3 µg/m 3 [67,68]. March 17 by day (17D), the mineralogical weights had heterogeneous variability in the three different regions, each related to a different source.…”

Section: March 2021 From Iasi-amentioning

confidence: 67%

“…After applying the LC method, 15% of the values are rejected, the double of the percentage value of the first case. This can be linked to the difference in the size distribution between the emissions for the two cases in the study; the PM10 concentration emissions were double in March 2021 [67,68]. Likewise, in this case, the optical thickness was inverse to the residue RMS.…”

Section: March 2021 From Iasi-amentioning

confidence: 90%

“…On 16 March, another dust plume was produced from the Taklamakan Desert, floating and mixing with loads already present in the atmosphere. A previous study investigated dust sources only originating from the Gobi Desert between 14 and 15 March [67].…”

Section: March 2021 From Iasi-amentioning

confidence: 99%

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Aerosol Mineralogical Study Using Laboratory and IASI Measurements: Application to East Asian Deserts

et al. 2022

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East Asia is the second-largest mineral dust source in the world, after the Sahara. When dispersed in the atmosphere, mineral dust can alter the Earth’s radiation budget by changing the atmosphere’s absorption and scattering properties. Therefore, the mineralogical composition of dust is key to understanding the impact of mineral dust on the atmosphere. This paper presents new information on mineralogical dust during East Asian dust events that were obtained from laboratory dust measurements combined with satellite remote sensing dust detections from the Infrared Atmospheric Sounding Interferometer (IASI). However, the mineral dust in this region is lifted above the continent in the lower troposphere, posing constraints due to the large variability in the Land Surface Emissivity (LSE). First, a new methodology was developed to correct the LSE from a mean monthly emissivity dataset. The results show an adjustment in the IASI spectra by acquiring aerosol information. Then, the experimental extinction coefficients of pure minerals were linearly combined to reproduce a Gobi dust spectrum, which allowed for the determination of the mineralogical mass weights. In addition, from the IASI radiances, a spectral dust optical thickness was calculated, displaying features identical to the optical thickness of the Gobi dust measured in the laboratory. The linear combination of pure minerals spectra was also applied to the IASI optical thickness, providing mineralogical mass weights. Finally, the method was applied after LSE optimization, and mineralogical evolution maps were obtained for two dust events in two different seasons and years, May 2017 and March 2021. The mean dust weights originating from the Gobi Desert, Taklamakan Desert, and Horqin Sandy Land are close to the mass weights in the literature. In addition, the spatial variability was linked to possible dust sources, and it was examined with a backward trajectory model. Moreover, a comparison between two IASI instruments on METOP-A and -B proved the method’s applicability to different METOP platforms. Due to all of the above, the applied method is a powerful tool for exploiting dust mineralogy and dust sources using both laboratory optical properties and IASI detections.

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Section: March 2021 From Iasi-amentioning

confidence: 67%

Section: March 2021 From Iasi-amentioning

confidence: 90%

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Aerosol Mineralogical Study Using Laboratory and IASI Measurements: Application to East Asian Deserts

et al. 2022

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“…Previous studies have shown that the combination of satellite remote sensing and ground-based observation data provides a good analysis of dust storm events, including identifying dust source areas and propagation trajectories [17][18][19][20][21][22][23][24][25][26]. For example, Guo et al [24] utilized the aerosol optical depth (AOD) data from MODIS aboard Satellite Aqua, along with the altitude-resolved aerosol types from CALIOP and surface PM 10 measurements, to investigate the dust activities in the springtime of northern China.…”

Section: Introductionmentioning

confidence: 99%

“…Therefore, we proposed a complete application frame of integrating hybrid methods based on multi-source data for remote sensing monitoring and process analysis of dust storms. Then, we applied it to the severe dust storm event in north China in March 2021, in which the high temporal resolution Chinese geostationary satellite FY-4A dust fraction product (DST) was used to analyze the dynamic process of this dust event [26]. Daily precipitation data and soil moisture data were proposed to prove the condition of the emission source location.…”

Section: Introductionmentioning

confidence: 99%

Hybrid Methods’ Integration for Remote Sensing Monitoring and Process Analysis of Dust Storm Based on Multi-Source Data

et al. 2022

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Dust storms are of great importance to climate change, air quality, and human health. In this study, a complete application frame of integrating hybrid methods based on multi-source data is proposed for remote sensing monitoring and process analysis of dust storms. In the frame, horizontal spatial distribution of dust intensity can be mapped by optical remote sensing products such as aerosol optical depth (AOD) from MODIS; the vertical spatial distribution of dust intensity by LIDAR satellite remote sensing products such as AOD profile from CALIPSO; geostationary satellite remote sensing products such as Chinese Fengyun or Japanese Himawari can achieve high-frequency temporal distribution information of dust storms. More detailed process analysis of dust storms includes air quality analysis supported by particulate matter (PM) data from ground stations and the dust emission trace and transport pathways from HYSPLIT back trajectory driven by meteorological data from the Global Data Assimilation System (GDAS). The dust storm outbreak condition of the source location can be proved by precipitation data from the WMO and soil moisture data from remote sensing products, which can be used to verify the deduced emission trace from HYSPLIT. The proposed application frame of integrating hybrid methods was applied to monitor and analyze a very heavy dust storm that occurred in northern China from 14–18 March 2021, which was one of the most severe dust storms in recent decades. Results showed that the dust storm event could be well monitored and analyzed dynamically. It was found that the dust originated in western Mongolia and northwestern China and was then transmitted along the northwest–southeast direction, consequently affected the air quality of most cities of northern China. The results are consistent with the prior research and showed the excellent potential of the integration of the hybrid methods in monitoring dust storms.

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Can global warming bring more dust?

Zhou

et al. 2023

Clim Dyn

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In the late twentieth century, global mean surface air temperature especially on land is continuously warming. Our analyses show that the global mean of dust increased since 1980, using the Modern-Era Retrospective Analysis version 2 for Research and Applications (MERRA-2) reanalysis data. This variation of global dust is mainly contributed by the dust increase outside of dust core areas (i.e. high dust mass concentration region). The causes to result in global dust variations are explored. In dust core areas, surface wind is the primary driving factor for surface dust, both of which show no remarkable trends of increase or decrease since 1980. In areas outside of the core areas, especially in arid and semi-arid areas in North and Middle Asia, surface air temperature warming is the primary impact factor causing the dust increase. An increase in surface air temperature is accompanied by enhancement of atmospheric instability which can trigger more upward motion and bring more dust. All 9 Earth System Models (ESMs) for the Aerosol Chemistry Model Intercomparison Project (AerChemMIP) reproduce the reasonable spatial distribution and seasonal cycle of dust in the present day. But only a few models such as BCC-ESM1 and GFDL-ESM4 simulate the increasing trend of dust similar to MERRA-2. While the primary impact of wind in dust core areas, and surface temperature outside of the core areas, especially in middle to high latitudes in Eurasian continent, are presented in most ESMs.

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A Comparison of the Different Stages of Dust Events over Beijing in March 2021: The Effects of the Vertical Structure on Near-Surface Particle Concentration

Cited by 13 publications

References 58 publications

Aerosol Mineralogical Study Using Laboratory and IASI Measurements: Application to East Asian Deserts

Aerosol Mineralogical Study Using Laboratory and IASI Measurements: Application to East Asian Deserts

Hybrid Methods’ Integration for Remote Sensing Monitoring and Process Analysis of Dust Storm Based on Multi-Source Data

Can global warming bring more dust?

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