Abstract
This study examined the surface-wetness effects in calculating dust generation in source regions, using Asian dust aerosol model version 3 (ADAM3; the control run; CNTL). Model sensitivity experiment was conducted in such a way that the dust generation in CNTL is compared against three ADAM3 versions with various surface-wetness effect schemes. The dust-generation algorithm in ADAM_RAIN utilizes precipitation, while the scheme in ADAM3_SM1 and ADAM3_SM2 employs soil water content to account for the surface-wetness effects on dust generation. Each run was evaluated for the spring (March–May) of 2020. ADAM3_SM1 shows the best performance for the dust source region in East Asia based on the root-mean-square error and the skill score, followed by ADAM3_SM2 and ADAM3_RAIN. Particularly, incorporation of the surface-wetness effects improves dust generation mostly in wet cases rather than dry cases. The three surface-wetness-effect runs reduce dust generation in the source regions compared to CNTL; hence, the inclusion of surface-wetness effects improves dust generation in the regions where CNTL overestimates dust generation.
Highlights
National Institute of Meteorological Sciences, 33 Seohobuk-ro, Seogwipo-si 63568, Jeju-do, Korea; Abstract: This study examined the surface-wetness effects in calculating dust generation in source regions, using Asian dust aerosol model version 3 (ADAM3; the control run; CNTL)
In Northeast Asia, air-pollution events caused by high concentrations of particulate matter (PM) occur frequently due to recent increases in industrial activities and population [1,2]
This study aims to improve the dust-generation algorithm in ADAM3 by incorporating surface-wetness effects on dust generation
Summary
National Institute of Meteorological Sciences, 33 Seohobuk-ro, Seogwipo-si 63568, Jeju-do, Korea; Abstract: This study examined the surface-wetness effects in calculating dust generation in source regions, using Asian dust aerosol model version 3 (ADAM3; the control run; CNTL). The dust-generation algorithm in ADAM_RAIN utilizes precipitation, while the scheme in ADAM3_SM1 and ADAM3_SM2 employs soil water content to account for the surface-wetness effects on dust generation. Oh et al [4] showed that the transboundary pollutant transport from China plays a major role in the occurrence of multi-day severe air-pollution episodes in Seoul, South Korea. Both anthropogenic air pollutants and dust in East Asia cause high PM10 concentration events over Korea. Dust in East Asia is largely composed of dry soil particles and exerts great social and economic impacts on East Asia [5,6,7]
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