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DOI10.5194/acp-19-12917-2019
How waviness in the circulation changes surface ozone: A viewpoint using local finite-amplitude wave activity
Sun W.; Hess P.; Chen G.; Tilmes S.
发表日期2019
ISSN16807316
起始页码12917
结束页码12933
卷号19期号:20
英文摘要Local finite-amplitude wave activity (LWA) measures the waviness of the local flow. In this work we relate the anticyclonic part of LWA, AWA (anticyclonic wave activity), to surface ozone in summertime over the US on interannual to decadal timescales. Interannual covariance between AWA diagnosed from the European Centre for Medium-Range Weather Forecast Era-Interim reanalysis and ozone measured at EPA Clean Air Status and Trends Network (CASTNET) stations is analyzed using maximum covariance analysis (MCA). The first two modes in the MCA analysis explain 84% of the covariance between the AWA and MDA8 (maximum daily 8h average ozone), explaining 29% and 14% of the MDA8 ozone variance, respectively. Over most of the US we find a significant relationship between ozone at most locations and AWA over the analysis domain (24-53ĝN and 130-65ĝW) using a linear regression model. This relationship is diagnosed (i) using reanalysis meteorology and measured ozone from CASTNET, or (ii) using meteorology and ozone simulated by the Community Atmospheric Model version 4 with chemistry (CAM4-chem) within the Community Earth System Model (CESM1). Using the linear regression model we find that meteorological biases in AWA in CAM4-chem, as compared to the reanalysis meteorology, induce ozone changes between -4 and +8ppb in CAM4-chem. Future changes (ca. 2100) in AWA are diagnosed in different climate change simulations in CAM4-chem, simulations which differ in their initial conditions and in one case differ in their reactive species emissions. All future simulations have enhanced AWA over the US, with the maximum enhancement in the southwest. As diagnosed using the linear regression model, the future change in AWA is predicted to cause a corresponding change in ozone ranging between -6 and 6ppb. The location of this change depends on subtle features of the change in AWA. In a number of locations this change is consistent with the magnitude and the sign of the overall simulated future ozone change. © Author(s) 2019. This work is distributed under the Creative Commons Attribution 4.0 License.
语种英语
scopus关键词anticyclone; atmospheric circulation; atmospheric modeling; climate change; covariance analysis; ozone; regression analysis; United States
来源期刊Atmospheric Chemistry and Physics
文献类型期刊论文
条目标识符http://gcip.llas.ac.cn/handle/2XKMVOVA/144084
作者单位Department of Biological and Environmental Engineering, Cornell University, Ithaca, NY, United States; Department of Atmospheric and Oceanic Sciences, University of California, Los Angeles, CA, United States; National Center for Atmospheric Research, Boulder, CO, United States; Currently At: BloomSky Inc., Burlingame, CA, United States
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Sun W.,Hess P.,Chen G.,et al. How waviness in the circulation changes surface ozone: A viewpoint using local finite-amplitude wave activity[J],2019,19(20).
APA Sun W.,Hess P.,Chen G.,&Tilmes S..(2019).How waviness in the circulation changes surface ozone: A viewpoint using local finite-amplitude wave activity.Atmospheric Chemistry and Physics,19(20).
MLA Sun W.,et al."How waviness in the circulation changes surface ozone: A viewpoint using local finite-amplitude wave activity".Atmospheric Chemistry and Physics 19.20(2019).
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