2015
DOI: 10.4209/aaqr.2014.10.0242
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Distribution of Ozone and Related Compounds in the Marine Boundary Layer of the Northern South China Sea in 2010

Abstract: To investigate the characteristics of air pollutants transported from the Asian continental regions to the marine boundary layer of the northern South China Sea (SCS), we recorded the continuous measurements of meteorology, sea surface radiative budget, and ozone (O 3 ) and related compounds in the marine boundary layer near Taiwan during 2010 cruises. For the marine field campaign investigation, the contaminated O 3 and related compounds (e.g., NO 2 , NO, CO, CH 4 , and NMHC) have been eliminated from researc… Show more

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Cited by 2 publications
(5 citation statements)
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“…The discrepancy between model and measurements could be due to (1) different period between model and field campaigns; (2) different spatial dimensions and range (a single point in ground campaigns and a 3D line for flight campaigns compared to a 27 × 27 km 2 grid box in the model); (3) uncertainty in the emission inventory from shipping and the islands within the domain; and (4) missing sources and/or chemical mechanism of NO x leading to the typical underestimation of NO x levels in remote MBL by chemical transport models (e.g., Travis et al, 2020). Similarly, the present work reproduces the O 3 level in the South China Sea and Taiwan strait compared to one observation study (in average 21 ppbv) (Lan et al, 2015) but underestimates O 3 compared to other previous measurements (∼50 to ∼85 ppbv; Carmichael et al, 2003;Hatakeyama et al, 2004;Jacob et al, 2003). This could be due to (1) uncertainty in the emission inventories; (2) uncertainty in the initial and boundary conditions; (3) grid size and different spatial range; and (4) a lack of VOC emissions from the ocean (e.g., S. Wang, Hornbrook, et al, 2019).…”
Section: Model Performance Evaluationsupporting
confidence: 63%
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“…The discrepancy between model and measurements could be due to (1) different period between model and field campaigns; (2) different spatial dimensions and range (a single point in ground campaigns and a 3D line for flight campaigns compared to a 27 × 27 km 2 grid box in the model); (3) uncertainty in the emission inventory from shipping and the islands within the domain; and (4) missing sources and/or chemical mechanism of NO x leading to the typical underestimation of NO x levels in remote MBL by chemical transport models (e.g., Travis et al, 2020). Similarly, the present work reproduces the O 3 level in the South China Sea and Taiwan strait compared to one observation study (in average 21 ppbv) (Lan et al, 2015) but underestimates O 3 compared to other previous measurements (∼50 to ∼85 ppbv; Carmichael et al, 2003;Hatakeyama et al, 2004;Jacob et al, 2003). This could be due to (1) uncertainty in the emission inventories; (2) uncertainty in the initial and boundary conditions; (3) grid size and different spatial range; and (4) a lack of VOC emissions from the ocean (e.g., S. Wang, Hornbrook, et al, 2019).…”
Section: Model Performance Evaluationsupporting
confidence: 63%
“…We evaluated the simulated air pollutants and halogen species from the three cases with previously reported observations within (or close to) the domain of interest (Table S1). The reported average NO 2 ranges from 30 to 5,300 pptv (Lan et al, 2015;Schreier et al, 2015). The three scenarios also simulate a large concentration range (from pptv to ppbv levels) of NO 2 (see Section 3 for details).…”
Section: Model Performance Evaluationmentioning
confidence: 99%
“…The discrepancy between model and measurements could be due to (1) different period between model and field campaigns; (2) different spatial dimensions and range (a single point in ground campaigns and a 3D line for flight campaigns compared to a 27 × 27 km 2 grid box in the model); (3) uncertainty in the emission inventory from shipping and the islands within the domain; and (4) missing sources and/or chemical mechanism of NO x leading to the typical underestimation of NO x levels in remote MBL by chemical transport models (e.g., Travis et al., 2020). Similarly, the present work reproduces the O 3 level in the South China Sea and Taiwan strait compared to one observation study (in average 21 ppbv) (Lan et al., 2015) but underestimates O 3 compared to other previous measurements (∼50 to ∼85 ppbv; Carmichael et al., 2003; Hatakeyama et al., 2004; Jacob et al., 2003). This could be due to (1) uncertainty in the emission inventories; (2) uncertainty in the initial and boundary conditions; (3) grid size and different spatial range; and (4) a lack of VOC emissions from the ocean (e.g., S. Wang, Hornbrook, et al., 2019).…”
Section: Methodssupporting
confidence: 87%
“…We evaluated the simulated air pollutants and halogen species from the three cases with previously reported observations within (or close to) the domain of interest (Table ). The reported average NO 2 ranges from 30 to 5,300 pptv (Lan et al., 2015; Schreier et al., 2015). The three scenarios also simulate a large concentration range (from pptv to ppbv levels) of NO 2 (see Section 3 for details).…”
Section: Methodsmentioning
confidence: 99%
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