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• W4304080309 endingPage "159341" @default.
• W4304080309 startingPage "159341" @default.
• W4304080309 abstract "In recent years, surface ozone concentrations have increased in many cities in China. Ground-based multi-axis differential optical absorption spectroscopy (MAX-DOAS) is a powerful technique for retrieving the profiles of tropospheric trace gases, such as NO2, SO2, and HCHO. However, since the difficulties in deducting the effects of stratospheric ozone, there are few studies on the retrieval of tropospheric ozone profiles using MAX-DOAS measurements. Here, we developed an accurate inversion method to retrieve tropospheric ozone concentrations during the PRIDE-GBA Campaign, wherein the ozone differential slant column densities (DSCDs) were retrieved in QDOAS software using the time-interpolated zenith spectrum as the reference spectrum. The tropospheric DSCDs (DSCDstrop) were then calculated by subtracting the simulated stratospheric DSCDs (DSCDsstr, simulated from the SCIATRAN model) from the DSCDs. Tropospheric ozone profiles were retrieved from the DSCDstrop using the optimal estimation method (OEM). The results showed that high values of tropospheric ozone were mainly distributed below 1 km, which is consistent with lidar measurements. In addition, the observed surface ozone concentrations were highly correlated with the in-situ measurements, with correlation coefficients (R) of 0.75 and 0.81, respectively. Combined with the retrieved NO2 and HCHO profiles using the MAX-DOAS measurements, we found that the planetary boundary layer ozone pollution of HeShan Observatory during the PRIDE-GBA Campaign are controlled by the NOx-limited regime. The results of this study indicate that the MAX-DOAS technique has the potential to retrieve tropospheric ozone profiles with high temporal and spatial resolution." @default.
• W4304080309 created "2022-10-10" @default.
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• W4304080309 date "2023-01-01" @default.
• W4304080309 modified "2023-10-14" @default.
• W4304080309 title "Retrieval of tropospheric ozone profiles using ground-based MAX-DOAS" @default.
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• W4304080309 doi "https://doi.org/10.1016/j.scitotenv.2022.159341" @default.
• W4304080309 hasPubMedId "https://pubmed.ncbi.nlm.nih.gov/36228783" @default.
• W4304080309 hasPublicationYear "2023" @default.
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