Integrated Analysis of Dust Transport and Budget in a Severe Asian Dust Event

Jing, Yingying; Zhang, Peng; Lin, Chen; Xu, Na

doi:10.4209/aaqr.2017.05.0170

Cited by 18 publications

(11 citation statements)

References 48 publications

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“…In the present study, the impacts of natural aerosol are essentially removed. It would be useful to examine how frequently in AMJ dust aerosol layers are advected in the western North Pacific using CALIPSO Lidar dataset and the HYSPLIT model [67,68]. In addition, it is useful to consider the response to non-East Asian AA forcing on the East Asian precipitation during summer.…”

Section: Summary and Discussionmentioning

confidence: 99%

The Lagged Effect of Anthropogenic Aerosol on East Asian Precipitation during the Summer Monsoon Season

Lee¹,

Jeong

Yeh

2020

Atmosphere

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The authors investigated the lagged effect of anthropogenic aerosols (AAs) during the premonsoon season (April–May–June) on the East Asian precipitation during the postmonsoon season (July–August) using the aerosol optical depth (AOD) from a satellite dataset and reanalysis datasets. When the AOD is high in Eastern China during the premonsoon season, the amount of precipitation increases in the western North Pacific, including the Korean Peninsula and Japan, during the postmonsoon season. The amount of cloud in the western-to-central North Pacific in the premonsoon season increases during the high-AOD period. Subsequently, it cools the sea surface temperature until the postmonsoon season, which strengthens the North Pacific High. The strengthened North Pacific High in the postmonsoon season expands to the western North Pacific, which leads to the enhancement of the moisture flows from the ocean. This results in the increase in precipitation in the western North Pacific, including the Korean Peninsula and Japan, during the postmonsoon season.

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Section: Summary and Discussionmentioning

confidence: 99%

The Lagged Effect of Anthropogenic Aerosol on East Asian Precipitation during the Summer Monsoon Season

Lee¹,

Jeong

Yeh

2020

Atmosphere

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“…The projected dust climatology carried out by Colarco et al (2014) uses the GEOS-5 general circulation model output from 2011 to 2050 and estimated the global mean dust emission annually, ranging from 1,900 to 2,400 Tg yr −1 with annual mean dust aerosol burden in a range of 20.8-23.1 Tg. MERRA-2 is shown to provide better estimates of the dust budget, including emissions, transport, and deposition (Buchard et al, 2017;Jing et al, 2017). The total mass of the dust (D L ) is calculated using the following relation.…”

Section: Reanalysis Productsmentioning

confidence: 99%

“…Dust aerosols can be transported over regional to intercontinental scales, as shown in various modeling studies (Jing et al, 2017; N. M. Mahowald et al, 2005;Todd et al, 2008;Uno et al, 2006). Previous studies also reported dust fluxes, budgets, and radiative forcing using the model simulations and reanalysis over different parts of the world (Jing et al, 2017;Todd et al, 2008;Uno et al, 2006;Zender et al, 2004). The surface layer characteristics over the Himalayan region were investigated in few recent studies (e.g., Solanki et al, 2016;Solanki et al, 2019), however, the impacts of elevated dust loadings on surface layer remain unclear.…”

mentioning

confidence: 96%

Genesis of a Severe Dust Storm Over the Indian Subcontinent: Dynamics and Impacts

Singh

Ojha

et al. 2022

Earth and Space Science

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“…As a result of the assimilation of various aerosol observations, the MERRA-2 data have many advantages in the estimation and analysis of the dust load, emission and deposition in severe dust events and is an effective tool for the quantitative estimation of the dust balance in extreme dust events [39][40][41]. To understand the dust budget, we used the MERRA-2 reanalysis data to analyze the emission and the dry and wet deposition of dust in this dust event.…”

Section: Dust Budget Analysismentioning

confidence: 99%

Can MERRA-2 Reanalysis Data Reproduce the Three-Dimensional Evolution Characteristics of a Typical Dust Process in East Asia? A Case Study of the Dust Event in May 2017

et al. 2020

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This study used the MERRA-2 reanalysis dataset and ground-based and satellite observational data to comprehensively analyze a typical dust storm event in east Asia on 2–7 May 2017 which engulfed most of China as well as ocean and Japan, and explore the accuracy and comprehensiveness of the MERRA-2 dataset in the analysis of dust processes. The results of comparison show that the description of the spatiotemporal distribution and evolution of the dust aerosols in the dust event using the MERRA-2 data is consistent with the data of AERONET, National Urban Air Quality Real-time Publishing Platform and Hamawari-8. Gobi Deserts was the most influential source area of this dust event with the highest emissions reaching 1.9 × 106 μg/m3. The vertical motion of the atmosphere can lift dust from the source area above 500 hPa. There were low-pressure troughs at 500 and 850 hPa and the winds behind and in front of the trough led to the high-altitude, long-distance transport of dust. Dust gradually affected the northwest China, north China, northeast China, and even the ocean and Japan on 2–7 May. This study demonstrates that although there is some uncertainty about the source of dust emission in the MERRA-2 model, the data accurately simulated the evolution of the dust event and analyze it comprehensively, while the accuracy of simulating the long-term evolution of dust requires further evaluation.

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Integrated Analysis of Dust Transport and Budget in a Severe Asian Dust Event

Abstract: Asian dust storms markedly affect the ecosystem, environment, ocean biogeochemical cycle, and regional climate.

Cited by 18 publications

References 48 publications

The Lagged Effect of Anthropogenic Aerosol on East Asian Precipitation during the Summer Monsoon Season

The Lagged Effect of Anthropogenic Aerosol on East Asian Precipitation during the Summer Monsoon Season

Genesis of a Severe Dust Storm Over the Indian Subcontinent: Dynamics and Impacts

Can MERRA-2 Reanalysis Data Reproduce the Three-Dimensional Evolution Characteristics of a Typical Dust Process in East Asia? A Case Study of the Dust Event in May 2017

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