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Chen X, Liu Y, Lai A, Han S, Fan Q, Wang X, Ling Z, Huang F, Fan S. Factors dominating 3-dimensional ozone distribution during high tropospheric ozone period. ENVIRONMENTAL POLLUTION (BARKING, ESSEX : 1987) 2018; 232:55-64. [PMID: 28958727 DOI: 10.1016/j.envpol.2017.09.017] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/19/2017] [Revised: 09/01/2017] [Accepted: 09/06/2017] [Indexed: 06/07/2023]
Abstract
Data from an in situ monitoring network and five ozone sondes are analysed during August of 2012, and a high tropospheric ozone episode is observed around the 8th of AUG. The Community Multi-scale Air Quality (CMAQ) model and its process analysis tool were used to study factors and mechanisms for high ozone mixing ratio at different levels of ozone vertical profiles. A sensitive scenario without chemical initial and boundary conditions (ICBCs) from MOZART4-GEOS5 was applied to study the impact of stratosphere-troposphere exchange (STE) on vertical ozone. The simulation results indicated that the first high ozone peak near the tropopause was dominated by STE. Results from process analysis showed that: in the urban area, the second peak at approximately 2 km above ground height was mainly caused by local photochemical production. The third peak (near surface) was mainly caused by the upwind transportation from the suburban/rural areas; in the suburban/rural areas, local photochemical production of ozone dominated the high ozone mixing ratio from the surface to approximately 3 km height. Furthermore, the capability of indicators to distinguish O3-precursor sensitivity along the vertical O3 profiles was investigated. Two sensitive scenarios, which had cut 30% anthropogenic NOX or VOC emissions, showed that O3-precursor indicators, specifically the ratios of O3/NOy, H2O2/HNO3 or H2O2/NOZ, could partly distinguish the O3-precursor sensitivity between VOCs-sensitive and NOx-sensitive along the vertical profiles. In urban area, the O3-precursor relationship transferred from VOCs-sensitive within the boundary layer to NOx-sensitive at approximately 1-3 km above ground height, further confirming the dominant roles of transportation and photochemical production in high O3 peaks at the near-ground layer and 2 km above ground height, respectively.
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Affiliation(s)
- Xiaoyang Chen
- School of Atmospheric Sciences/Guangdong Province Key Laboratory for Climate Change and Natural Disaster Studies, Sun Yat-sen University, Guangzhou 510275, China
| | - Yiming Liu
- School of Atmospheric Sciences/Guangdong Province Key Laboratory for Climate Change and Natural Disaster Studies, Sun Yat-sen University, Guangzhou 510275, China
| | - Anqi Lai
- School of Atmospheric Sciences/Guangdong Province Key Laboratory for Climate Change and Natural Disaster Studies, Sun Yat-sen University, Guangzhou 510275, China
| | - Shuangshuang Han
- National Satellite Meteorological Center, Beijing 100081, China; School of Earth Sciences and Resources, China University of Geosciences, Beijing 100083, China
| | - Qi Fan
- School of Atmospheric Sciences/Guangdong Province Key Laboratory for Climate Change and Natural Disaster Studies, Sun Yat-sen University, Guangzhou 510275, China.
| | - Xuemei Wang
- School of Atmospheric Sciences/Guangdong Province Key Laboratory for Climate Change and Natural Disaster Studies, Sun Yat-sen University, Guangzhou 510275, China; Institute for Environmental and Climate Research, Jinan University, Guangzhou 510632, China
| | - Zhenhao Ling
- School of Atmospheric Sciences/Guangdong Province Key Laboratory for Climate Change and Natural Disaster Studies, Sun Yat-sen University, Guangzhou 510275, China
| | - Fuxiang Huang
- National Satellite Meteorological Center, Beijing 100081, China
| | - Shaojia Fan
- School of Atmospheric Sciences/Guangdong Province Key Laboratory for Climate Change and Natural Disaster Studies, Sun Yat-sen University, Guangzhou 510275, China
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Fu Y, Chen Y, Li R, Qin F, Xian T, Yu L, Zhang A, Liu G, Zhang X. Lateral Boundary of Cirrus Cloud from CALIPSO Observations. Sci Rep 2017; 7:14221. [PMID: 29079857 PMCID: PMC5660203 DOI: 10.1038/s41598-017-14665-6] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/29/2017] [Accepted: 10/12/2017] [Indexed: 11/18/2022] Open
Abstract
Due to the thinness and small scale of cirrus clouds, its lateral boundary may be missed by conventional passive remote-sensing techniques and climate models. Here, using satellite observations in June–August from 2006 to 2011, a global dataset for the cirrus cloud lateral boundary (CCLB) was established. The results indicate that the optical properties, such as the lidar backscatter, the depolarization ratio and the optical depth, sharply decrease from cloudy regions to clear-sky regions. There are significant regional differences in optical properties and height and thickness of the CCLB. Based on a quantitative estimation, the strongest longwave warming effects (>0.3 W m−2) are found near the Equator and over tropical continents. The global average longwave warming effect of the CCLB is at least 0.07 W m−2, which is much larger than some of the radiative forcings considered in the Intergovernmental Panel on Climate Change (IPCC) reports. Specifically, the CCLB in traditional “clear-sky” region may be totally missed by current models and IPCC reports, which contributes 28.25% (~0.02 W m−2) of the whole CCLB radiative effect, twice greater than contrail effect. It is recommended that the CCLB effect should be taken account in future climate models and the next IPCC reports.
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Affiliation(s)
- Yunfei Fu
- School of Earth and Space Sciences, University of Science and Technology of China (USTC), Hefei, 230026, P.R. China.
| | - Yilun Chen
- School of Earth and Space Sciences, University of Science and Technology of China (USTC), Hefei, 230026, P.R. China
| | - Rui Li
- School of Earth and Space Sciences, University of Science and Technology of China (USTC), Hefei, 230026, P.R. China.
| | - Fang Qin
- School of Earth and Space Sciences, University of Science and Technology of China (USTC), Hefei, 230026, P.R. China
| | - Tao Xian
- School of Earth and Space Sciences, University of Science and Technology of China (USTC), Hefei, 230026, P.R. China
| | - Lu Yu
- School of Earth and Space Sciences, University of Science and Technology of China (USTC), Hefei, 230026, P.R. China
| | - Aoqi Zhang
- School of Earth and Space Sciences, University of Science and Technology of China (USTC), Hefei, 230026, P.R. China
| | - Guosheng Liu
- Department of Earth Ocean & Atmospheric Science, Florida State University, Tallahassee, Florida, 32306, USA
| | - Xiangdong Zhang
- International Arctic Research Center and Department of Atmospheric Sciences, University of Alaska Fairbanks, 930 Koyukuk Dr, Fairbanks, Alaska, 99775, USA
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