2020
DOI: 10.5194/acp-20-2667-2020
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MICS-Asia III: overview of model intercomparison and evaluation of acid deposition over Asia

Abstract: Abstract. The Model Inter-Comparison Study for Asia (MICS-Asia) phase III was conducted to promote understanding of regional air quality and climate change in Asia, which have received growing attention due to the huge amount of anthropogenic emissions worldwide. This study provides an overview of acid deposition. Specifically, dry and wet deposition of the following species was analyzed: S (sulfate aerosol, sulfur dioxide (SO2), and sulfuric acid (H2SO4)), N (nitrate aerosol, nitrogen monoxide (NO), nitrogen … Show more

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Cited by 59 publications
(42 citation statements)
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“…This difference was more than 1.0 µg/m 3 , and considering the low concentration level over the northern part of d01 (e.g., the far-east region of Russia), the selection of the global model will be an important setting for refining the model simulation over northern parts of the Asian continent. This point was also mentioned in the Asian-scale model inter-comparison study (MICS-Asia) [45,46]. Another possibility in addition to the aerosol components themselves was the difference caused by other species.…”
Section: Meteorology and Boundary Conditionsmentioning
confidence: 81%
“…This difference was more than 1.0 µg/m 3 , and considering the low concentration level over the northern part of d01 (e.g., the far-east region of Russia), the selection of the global model will be an important setting for refining the model simulation over northern parts of the Asian continent. This point was also mentioned in the Asian-scale model inter-comparison study (MICS-Asia) [45,46]. Another possibility in addition to the aerosol components themselves was the difference caused by other species.…”
Section: Meteorology and Boundary Conditionsmentioning
confidence: 81%
“…Many of the schemes are similar or almost equivalent to those implemented in widely used regional community models, such as CMAQ (Byun and Schere, 2006;Wong et al, 2012) and WRF-Chem (Grell et al, 2005;Chapman et al, 2009), as seen from the result of a multi-CTM intercomparison study (Li et al, 2019;Chen et al, 2019;Itahashi et al, 2020;Kong et al, 2020;Tan et al, 2020;Ge et al, 2020): NHM-Chem behaved similarly to the other models, including CMAQ and WRF-Chem. The advantage of the current model is not considerable, except for the detailed fog deposition and belowcloud scavenging parameterizations.…”
mentioning
confidence: 83%
“…In this study, the WRF-Chem models (M7 and M8) turned off the sea-salt emissions; thus, their PMC concentrations over the oceans and seas are not defined. The two WRF-CMAQ models use the in-line sea-salt emission module of Gong (2003) with updates by Kelly et al (2010). They predict consistent distributions of PMC over oceans.…”
Section: Implementation Of Dust Emission Modules In the Modelsmentioning
confidence: 99%
“…Sea-salt emissions are reported to contribute 20 %-40 % of SNA and PM 10 over coastal regions . Including the sea-salt emissions in model simulations can improve the model accuracy with an 8 %-20 % increase in PM 10 , SNA, Na + and Cl − (Kelly et al, 2010;Im, 2013). The influence of sea-salt emissions is not the focus of this study, but further study is strongly recommended.…”
Section: Implementation Of Dust Emission Modules In the Modelsmentioning
confidence: 99%