Global S&T Development Trend Analysis Platform of Resources and Environment
DOI | 10.5194/acp-2020-426 |
Late-Spring and Summertime Tropospheric Ozone and NO2 in Western Siberia and the Russian Arctic: Regional Model Evaluation and Sensitivities | |
Thomas Thorp, Stephen R. Arnold, Richard J. Pope, Dominic V. Spracklen, Luke Conibear, Christoph Knote, Mikhail Arshinov, Boris Belan, Eija Asmi, Tuomas Laurila, Andrei I. Skorokhod, Tuomo Nieminen, and Tuukka Petäjä | |
2020-06-24 | |
发表期刊 | Atmospheric Chemistry and Physics
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出版年 | 2020 |
英文摘要 | We use a regional chemistry transport model (WRF-Chem) in conjunction with surface observations of tropospheric ozone and Ozone Monitoring Instrument (OMI) satellite retrievals of tropospheric column NO2 to evaluate processes controlling the regional distribution of tropospheric ozone over Western Siberia for late-spring and summer in 2011. This region hosts a range of anthropogenic and natural ozone precursor sources, and serves as a gateway for near-surface transport of Eurasian pollution to the Arctic. However, there is a severe lack of in-situ observations to constrain tropospheric ozone sources and sinks in the region. We show widespread negative bias in WRF-Chem tropospheric column NO2 when compared to OMI satellite observations from May – August, which is reduced when using ECLIPSE v5a emissions (FMB= -0.82 to -0.73) compared with the EDGAR-HTAP-2 emissions data (FMB= -0.80 to -0.70). Despite the large negative bias, the spatial correlations between model and observed NO2 columns suggest that the spatial pattern of NOx sources in the region is well represented. Based on ECLIPSE v5a emissions, we assess the influence of the two dominant anthropogenic emission sectors (transport and energy) and vegetation fires on surface NOx and ozone over Siberia and the Russian Arctic. Our results suggest regional ozone is more sensitive to anthropogenic emissions, particularly from the transport sector, and the contribution from fire emissions maximises in June and is largely confined to latitudes south of 60° N. Large contributions to surface ozone from energy emissions are simulated in April north of 60° N, due to emissions associated with oil and gas extraction. Ozone dry deposition fluxes from the model simulations show that the dominant ozone dry deposition sink in the region is to forest, averaging 6.0 Tg of ozone per month, peaking at 9.1 Tg of ozone deposition during June. The impact of fires on ozone dry deposition within the domain is small compared to anthropogenic emissions, and is negligible north of 60° N. Overall, our results suggest that surface ozone in the region is controlled by an interplay between seasonality in atmospheric transport patterns, vegetation dry deposition, and a dominance of transport and energy sector emissions. |
领域 | 地球科学 |
URL | 查看原文 |
引用统计 | |
文献类型 | 期刊论文 |
条目标识符 | http://119.78.100.173/C666/handle/2XK7JSWQ/278076 |
专题 | 地球科学 |
推荐引用方式 GB/T 7714 | Thomas Thorp, Stephen R. Arnold, Richard J. Pope, Dominic V. Spracklen, Luke Conibear, Christoph Knote, Mikhail Arshinov, Boris Belan, Eija Asmi, Tuomas Laurila, Andrei I. Skorokhod, Tuomo Nieminen, and Tuukka Petäjä. Late-Spring and Summertime Tropospheric Ozone and NO2 in Western Siberia and the Russian Arctic: Regional Model Evaluation and Sensitivities[J]. Atmospheric Chemistry and Physics,2020. |
APA | Thomas Thorp, Stephen R. Arnold, Richard J. Pope, Dominic V. Spracklen, Luke Conibear, Christoph Knote, Mikhail Arshinov, Boris Belan, Eija Asmi, Tuomas Laurila, Andrei I. Skorokhod, Tuomo Nieminen, and Tuukka Petäjä.(2020).Late-Spring and Summertime Tropospheric Ozone and NO2 in Western Siberia and the Russian Arctic: Regional Model Evaluation and Sensitivities.Atmospheric Chemistry and Physics. |
MLA | Thomas Thorp, Stephen R. Arnold, Richard J. Pope, Dominic V. Spracklen, Luke Conibear, Christoph Knote, Mikhail Arshinov, Boris Belan, Eija Asmi, Tuomas Laurila, Andrei I. Skorokhod, Tuomo Nieminen, and Tuukka Petäjä."Late-Spring and Summertime Tropospheric Ozone and NO2 in Western Siberia and the Russian Arctic: Regional Model Evaluation and Sensitivities".Atmospheric Chemistry and Physics (2020). |
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