Impacts of climate and land cover variability and trends on springtime East Asian dust emission over 1982–2010: A modeling study

Tai, Amos P. K.; H.L., Perry; Chan, Yuk‐Chun; Chow, Ming-Keung; Ridley, D. A.; Kok, Jasper F.

doi:10.1016/j.atmosenv.2021.118348

Cited by 20 publications

(15 citation statements)

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“…We consider the results presented in the previous section to be more accurate constraints on the source-region-resolved dust loading, concentration, DAOD, and deposition flux than results obtained directly from regional and global model simulations (e.g., Tanaka and Chiba, 2006;Mahowald, 2007;Huneeus et al, 2011;Wu et al, 2020). Nonetheless, our results are subject to a number of important limitations.…”

Section: Limitations Of the Methodologymentioning

confidence: 95%

“…As such, differences in the relative contributions of the main source regions before or after that period are not reflected in our results. This includes an increase in dust loading in the Middle East (Hsu et al, 2012a;Kumar et al, 2019) and a decrease in dust loading in East Asia (Shao et al, 2013;Shimizu et al, 2017;An et al, 2018;Tai et al, 2021).…”

Section: Limitations Of the Methodologymentioning

confidence: 99%

“…Many past studies of the contributions of the main dust source regions to the global dust cycle have been based on global aerosol model simulations (Tanaka and Chiba, 2006;Chin et al, 2007;Huneeus et al, 2011;Wu et al, 2020). These simulations exhibit substantial biases when compared to observations of dust abundance and of dust microphysical properties like size distribution and mass extinction efficiency (Kok et al, 2014a;Ansmann et al, 2017;Adebiyi et al, 2020;Checa-Garcia et al, 2020).…”

Section: Introductionmentioning

confidence: 99%

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Contribution of the world's main dust source regions to the global cycle of desert dust

et al. 2021

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Abstract. Even though desert dust is the most abundant aerosol by mass in Earth's atmosphere, the relative contributions of the world's major source regions to the global dust cycle remain poorly constrained. This problem hinders accounting for the potentially large impact of regional differences in dust properties on clouds, the Earth's energy balance, and terrestrial and marine biogeochemical cycles. Here, we constrain the contribution of each of the world's main dust source regions to the global dust cycle. We use an analytical framework that integrates an ensemble of global aerosol model simulations with observationally informed constraints on the dust size distribution, extinction efficiency, and regional dust aerosol optical depth (DAOD). We obtain a dataset that constrains the relative contribution of nine major source regions to size-resolved dust emission, atmospheric loading, DAOD, concentration, and deposition flux. We find that the 22–29 Tg (1 standard error range) global loading of dust with a geometric diameter up to 20 µm is partitioned as follows: North African source regions contribute ∼ 50 % (11–15 Tg), Asian source regions contribute ∼ 40 % (8–13 Tg), and North American and Southern Hemisphere regions contribute ∼ 10 % (1.8–3.2 Tg). These results suggest that current models on average overestimate the contribution of North African sources to atmospheric dust loading at ∼ 65 %, while underestimating the contribution of Asian dust at ∼ 30 %. Our results further show that each source region's dust loading peaks in local spring and summer, which is partially driven by increased dust lifetime in those seasons. We also quantify the dust deposition flux to the Amazon rainforest to be ∼ 10 Tg yr−1, which is a factor of 2–3 less than inferred from satellite data by previous work that likely overestimated dust deposition by underestimating the dust mass extinction efficiency. The data obtained in this paper can be used to obtain improved constraints on dust impacts on clouds, climate, biogeochemical cycles, and other parts of the Earth system.

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Section: Limitations Of the Methodologymentioning

confidence: 95%

Section: Limitations Of the Methodologymentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Contribution of the world's main dust source regions to the global cycle of desert dust

et al. 2021

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“…Due to the importance of dust storms, there has been extensive research into the relationship between dust intensity and influential factors such as wind speed, temperature, precipitation, vegetation cover, and soil moisture [16][17][18][19][20][21][22][23][24][25][26][27][28][29][30][31][32]. Zou and Zhai [16] analyzed the relationship between vegetation index data and dust storms in China from 1982 to 2001.…”

Section: Introductionmentioning

confidence: 99%

“…In contrast, Sahel dust emissions are associated with 10 m wind speed and vegetation cover. Tai et al [24] investigated the effect of climatic or land cover changes on interannual changes in dust storms in East Asia from 1982 to 2010. They found that dust emission variability was affected mainly by meteorological parameters, and vegetation density was the second parameter.…”

Section: Introductionmentioning

confidence: 99%

Time Series of Remote Sensing Data for Interaction Analysis of the Vegetation Coverage and Dust Activity in the Middle East

Namdari

Alnasrawi²,

Ghorbanzadeh

et al. 2022

Remote Sensing

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Motivated by the lack of research on land cover and dust activity in the Middle East, this study seeks to increase the understanding of the sensitivity of dust centers to climatic and surface conditions in this specific region. In this regard, we explore vegetation cover and dust emission interactions using 16-day long-term Normalized Difference Vegetation Index (NDVI) data and daily Aerosol Optical Depth (AOD) data from Moderate Resolution Imaging Spectroradiometer (MODIS) and conduct spatiotemporal and statistical analyses. Eight major dust hotspots were identified based on long-term AOD data (2000–2019). Despite the relatively uniform climate conditions prevailing throughout the region during the study period, there is considerable spatial variability in interannual relationships between AOD and NDVI. Three subsets of periods (2000–2006, 2007–2013, 2014–2019) were examined to assess periodic spatiotemporal changes. In the second period (2007–2013), AOD increased significantly (6% to 32%) across the studied hotspots, simultaneously with a decrease in NDVI (−0.9% to −14.3%) except in Yemen−Oman. Interannual changes over 20 years showed a strong relationship between reduced vegetation cover and increased dust intensity. The correlation between NDVI and AOD (−0.63) for the cumulative region confirms the significant effect of vegetation canopy on annual dust fluctuations. According to the results, changes in vegetation cover have an essential role in dust storm fluctuations. Therefore, this factor must be regarded along with wind speed and other climate factors in Middle East dust hotspots related to research and management efforts.

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Interdecadal changes in the interannual variations in spring precipitation over the Tarim Basin

Xie,

Jia,

Chen

et al. 2023

Intl Journal of Climatology

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The year‐to‐year fluctuation and total amount of spring precipitation over the Tarim Basin (TB) (SPTB) have both significantly increased after 1985. The data are then divided into two subperiods, that is, 1961–1985 (P1) and 1986–2020 (P2), and the contributions from various climate factors, including the North Atlantic and Indian Ocean sea surface temperatures (SSTs), as well as from Tibetan Plateau (TP) snow, to the interdecadal changes from P1 to P2 are examined. In P1, the SPTB‐related atmospheric circulation anomalies display a zonal wave‐like pattern dominating the middle–high North Atlantic‐Eurasian continent. In contrast, in P2, the SPTB‐related atmospheric circulation anomalies feature a meridional tripole pattern prevailing over the North Atlantic and western Europe. The observational analysis indicates that abnormally low pressure in the north and high pressure in the southwest of the TB are the key atmospheric systems that influence moisture transportation to the Tarim Basin and consequently impact the variability of the SPTB. The anomalous SSTs in the North Atlantic and Indian Ocean play a significant role in inducing changes in the SPTB by regulating the moisture transport pathway in the vicinity of the TB. In P1, the SSTs in both the North Atlantic and the tropical Indian Ocean contribute to the SPTB mainly in the periphery of the TB, while in P2, they contribute to the SPTB in most of the TB. In addition, the snow cover over TP also contributes to the SPTB changes. Distinguished from the effects of oceanic SST, the TP snow primarily influences the variability of the SPTB within the central region of the TP during P1 and around the periphery of the TP during P2.

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Impacts of climate and land cover variability and trends on springtime East Asian dust emission over 1982–2010: A modeling study

Cited by 20 publications

References 85 publications

Contribution of the world's main dust source regions to the global cycle of desert dust

Contribution of the world's main dust source regions to the global cycle of desert dust

Time Series of Remote Sensing Data for Interaction Analysis of the Vegetation Coverage and Dust Activity in the Middle East

Interdecadal changes in the interannual variations in spring precipitation over the Tarim Basin

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