Aerosol optical depth (AOD): spatial and temporal variations and association with meteorological covariates in Taklimakan desert, China

Li, Jinglong; Ge, Xiangyu; He, Qing; Abbas, Alim

doi:10.7717/peerj.10542

Cited by 28 publications

(13 citation statements)

References 39 publications

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“…However, the overall trend of MAIAC AOD was more consistent with ground-based AOD; the correlation coefficient was 0.90, and the RMSE was 0.26. This is consistent with the validation of Li et al (2021) for Tazhong (R = 0.95). Moreover, the MAIAC algorithm was more accurate than the existing MODIS AOD.…”

Section: Descriptionsupporting

confidence: 90%

“…This is consistent with the validation of Li et al . (2021) for Tazhong ( R = 0.95). Moreover, the MAIAC algorithm was more accurate than the existing MODIS AOD.…”

Section: Resultsmentioning

confidence: 99%

“…Therefore, it is necessary to explore the small‐scale aerosol spatial heterogeneity by using higher‐resolution AOD data. In addition, previous studies found that Pre and RH have the greatest effect on the spatial distribution of AOD in Central Asia (including Xinjiang) and RH has the greatest effect on AOD around the Taklamakan Desert (Li et al ., 2021; Zhou et al ., 2022). However, these studies only assessed the greatest influence factor on AOD variability.…”

Section: Introductionmentioning

confidence: 99%

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Spatial heterogeneity and driving factors of aerosol in Western China: Analysis on multiangle implementation of atmospheric correction–aerosol optical depth in Xinjiang over 2001–2019

Ding

Jin

2022

Intl Journal of Climatology

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Knowledge of aerosol dynamics is essential to combating atmospheric aerosol pollution, and there is a growing interest in aerosol changes and their drivers. However, the effects of interactions between natural and anthropogenic drivers of aerosol are not well understood. Here, we analyse changes in aerosol optical depth (AOD) in Xinjiang, China using the multiangle implementation of atmospheric correction aerosol products over 2001–2019 and investigate the driving factors of aerosol dynamics using a random forest (RF) and a geographical detector. The results show the dominant AOD changes in the quasi‐period of 3.21 months, 7.86 months, 1.19 years, for seasonal, half‐year, and interannual variations of aerosols. The increasing and then decreasing nonlinear trends were observed in the interannual AOD variation during 19 years period. The importance ranking results of the two models indicated that meteorological factors dominated the spatial distribution of AOD in Xinjiang (72.73% for RF and 65.78% for the geographic detector), and that interactions between factors enhanced the explanatory power in AOD changes. In addition, the influence of anthropogenic factors on AOD was increasing in North Xinjiang, and the influence of precipitation and population on AOD was increasing in East Xinjiang. However, the influence of drivers on AOD in South Xinjiang was basically constant over time, showing the spatially heterogeneous relationship between AOD and drivers. This study emphasized the spatial heterogeneity and driving factors of small‐scale aerosols in arid regions and so can guide targeted air pollution prevention and control in local areas.

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Section: Descriptionsupporting

confidence: 90%

“…This is consistent with the validation of Li et al . (2021) for Tazhong ( R = 0.95). Moreover, the MAIAC algorithm was more accurate than the existing MODIS AOD.…”

Section: Resultsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Spatial heterogeneity and driving factors of aerosol in Western China: Analysis on multiangle implementation of atmospheric correction–aerosol optical depth in Xinjiang over 2001–2019

Ding

Jin

2022

Intl Journal of Climatology

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“…4e, j). Such seasonal migration of dust maxima is largely driven by the meridional shift of the Intertropical Convergence Zone (ITCZ) and generally consistent with previous studies about dust activities in this region via satellite retrievals (e.g., Ginoux et al, 2012;Pu and Ginoux, 2018;Yu et al, 2019;Chédin et al, 2020;Vandenbussche et al, 2020;Yu et al, 2021;Li et al, 2021).…”

Section: Characteristics Of Daytime and Nighttime Dust Activities Ove...supporting

confidence: 89%

Understanding day-night differences in dust activities over the dust belt of North Africa, the Middle East, and Asia

Tindan

Jin

2022

Preprint

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Abstract. Utilizing the well-calibrated, high spectral resolution, and equal-quality-performance for day and night observations (9:30 a.m. and 9:30 p.m. equator passing time) of the Infrared Atmospheric Sounder Interferometer (IASI) products, this study investigates the day-night differences in dust activities over the dust belt of North Africa, the Middle East, and Asia. Both daytime and nighttime dust optical depth (DOD) at 10 microns shows high consistency with solar and lunar observations from AErosol RObotic NETwork (AERONET) sites across the dust belt, with correlation coefficients of 0.8–0.9 for most sites. IASI reveals significant (95 % confidence level) day-night differences in dust activities over the major dust sources within the dust belt. Annual mean daytime DOD at 9:30 a.m. is significantly higher than that of nighttime at 9:30 p.m. in the central to northern Sahara Desert, the central to eastern Arabian Peninsula and dust source regions in South and East Asia including the Taklamakan Desert, but lower over the southern Sahel to the Guinea Coast, and the central to southern Indian subcontinent. The magnitude of the day-night difference in DOD is larger and more significant in boreal winter and spring than other seasons. An analysis of 10 m wind fields and dust uplift potential using the European Centre for Medium-Range Weather Forecasts (ECMWF) Reanalysis v5 (ERA5) suggests that the positive day-night differences in DOD over the central Sahara, the Middle East, and Asia are associated with enhanced dust emissions driven by stronger wind speed. Dust layer heights demonstrate negative day-night differences (i.e., lower daytime versus higher nighttime values) over dust source regions in the central Sahara, central Arabian Peninsula, and Asia, and positive height differences in the southern Sahel to the Guinea Coast, southern parts of the Arabian Peninsula, and large parts of the Indian subcontinent. The higher dust layer height over the Guinea Coast and the Indian subcontinent during daytime is associated with a deeper planetary boundary layer height and greater convective instability around 9:30 a.m. than that during 9:30 p.m., which promotes vertical transport and mixing of dust. The corresponding lower daytime DOD over these downwind regions indicates a possible dilution of dust aerosols when they are transported to higher altitude by convection and are more susceptible to horizontal transport. Ground observations from the Laboratoire Interuniversitaire des Systèmes Atmosphériques (LISA) and AERONET show surface PM10 concentration and dust aerosols exhibit a spatially varying diurnal cycle across the dust belt with peak coarse-mode aerosol optical depth (CAOD; around 7–9 a.m.) and PM10 concentrations (around 9–11 a.m.) in the morning hours and late afternoon to midnight in the Sahel, peak CAOD from morning to early afternoon (around 9 a.m.–1 p.m.) and around midnight in the Middle East and Asia, generally consistent with day-night differences in dust activities revealed by IASI. An examination of DOD from Modern-Era Retrospective Analysis for Research and Applications, version 2 (MERRA-2) and ECMWF Atmospheric Composition Reanalysis 4 (EAC4) products reveals that reanalysis products largely capture the temporal and spatial variability of DOD on the seasonal scale but failed to capture the day-night differences in DOD in large parts of the dust belt except in a few dust source hotspots over North Africa, such as the northeastern Bodélé Depression and the northeastern North Africa. Overall, this study provides a detailed and comprehensive analysis of the day-night differences in dust activities over the dust belt, which could improve our current understanding of physical mechanisms of dust cycle at the diurnal timescale in various dust source and downwind regions.

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“…Aerosol is a solid or liquid particles suspended in the gasses in the atmosphere. Aerosol optical depth (AOD) is a measure of the light lost from a beam due to scattering and/or absorption effect of atmospheric aerosols and is widely used as a key element for assessing the degree of air pollution [1]. High AOD values indicate large number of pollutants in the atmosphere or the pollutant level.…”

Section: Introductionmentioning

confidence: 99%

Impact Of Movement Control Order (MCO) Of Covid-19 Pandemic on Aerosol Optical Depth Over Peninsular Malaysia

Alias

Salim

Latif

2022

IOP Conf. Ser.: Earth Environ. Sci.

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Recently in 2020, the spread of the Virus COVID-19 leads the government of Malaysia to enforce for a Movement Control Order (MCO) in order to curb the pendamic. Thus, this study aims to analyse aerosol optical depth from MODIS aerosol product over Peninsular Malaysia before and during the MCO. Data before MCO shows a higher AOD concentration in major part of the eastern coast of the peninsular. This might be due mostly to the long range transport of agricultural or biomass burning season that occur in the Mekong sub-region area as reported by ASEAN Specialised Metrological Centre brought to eastern part of the Peninsular with the Northeast Monsoon wind. Both data before and during MCO managed to capture high AOD concentrations in the Greater Kuala Lumpur as well as area southern of the state of Perak confirming that the resuspension of urban, dust, and open biomass burning aerosols from local sources are dominant in this area. As of quantification of the AOD concentration, The highest reduction was at Temerloh, with -40.3% (0.67-0.4), while the lowest reduction was at Bandaraya Melaka with -4.6% (0.43-0.41). Highest increment of AOD during was detected in Sri Manjung, with value of 56.1% and Kulim Hightech as well as Alor Setar not far behind with, 55.1% and 54.8% respectively. It can be clearly seen that Northern and Central Region contribute to the increase of AOD while the Eastern Region contributes to the reduction of AOD for the study area during this MCO. The overall total AOD average is 0.413 before the MCO and 0.432 during the MCO giving a total increment of 4.6%.

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Aerosol optical depth (AOD): spatial and temporal variations and association with meteorological covariates in Taklimakan desert, China

Cited by 28 publications

References 39 publications

Spatial heterogeneity and driving factors of aerosol in Western China: Analysis on multiangle implementation of atmospheric correction–aerosol optical depth in Xinjiang over 2001–2019

Spatial heterogeneity and driving factors of aerosol in Western China: Analysis on multiangle implementation of atmospheric correction–aerosol optical depth in Xinjiang over 2001–2019

Understanding day-night differences in dust activities over the dust belt of North Africa, the Middle East, and Asia

Impact Of Movement Control Order (MCO) Of Covid-19 Pandemic on Aerosol Optical Depth Over Peninsular Malaysia

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