Articles | Volume 19, issue 9
https://doi.org/10.5194/acp-19-6551-2019
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/acp-19-6551-2019
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
17 May 2019
Research article |
| 17 May 2019
An evaluation of the ability of the Ozone Monitoring Instrument (OMI) to observe boundary layer ozone pollution across China: application to 2005–2017 ozone trends
Lu Shen
CORRESPONDING AUTHOR
John A. Paulson School of Engineering and Applied Sciences, Harvard
University, Cambridge, Massachusetts 02138, USA
Daniel J. Jacob
John A. Paulson School of Engineering and Applied Sciences, Harvard
University, Cambridge, Massachusetts 02138, USA
Xiong Liu
Harvard-Smithsonian Center for Astrophysics, Cambridge, Massachusetts
02138, USA
Guanyu Huang
Environmental & Health Sciences, Spelman College, Atlanta, Georgia
30314, USA
John A. Paulson School of Engineering and Applied Sciences, Harvard
University, Cambridge, Massachusetts 02138, USA
Hong Liao
School of Environmental Science and Engineering, Nanjing University of
Information Science & Technology, Nanjing 210044, China
Department of Civil and Environmental Engineering, The Hong Kong
Polytechnic University, Hong Kong
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- Detectability assessment of a satellite sensor for lower tropospheric ozone responses to its precursors emission changes in East Asian summer M. Kajino et al. 10.1038/s41598-019-55759-7
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- Real-time source contribution analysis of ambient ozone using an enhanced meta-modeling approach over the Pearl River Delta Region of China T. Fang et al. 10.1016/j.jenvman.2020.110650
33 citations as recorded by crossref.
- Source impact and contribution analysis of ambient ozone using multi-modeling approaches over the Pearl River Delta region, China T. Fang et al. 10.1016/j.envpol.2021.117860
- Increasing but Variable Trend of Surface Ozone in the Yangtze River Delta Region of China K. Tang et al. 10.3389/fenvs.2022.836191
- Developing a novel hybrid model for the estimation of surface 8 h ozone (O<sub>3</sub>) across the remote Tibetan Plateau during 2005–2018 R. Li et al. 10.5194/acp-20-6159-2020
- Evaluation of gap-filling approaches in satellite-based daily PM2.5 prediction models Q. Xiao et al. 10.1016/j.atmosenv.2020.117921
- Rapid Increases in Warm-Season Surface Ozone and Resulting Health Impact in China Since 2013 X. Lu et al. 10.1021/acs.estlett.0c00171
- Mapping the drivers of formaldehyde (HCHO) variability from 2015 to 2019 over eastern China: insights from Fourier transform infrared observation and GEOS-Chem model simulation Y. Sun et al. 10.5194/acp-21-6365-2021
- Exploring 2016–2017 surface ozone pollution over China: source contributions and meteorological influences X. Lu et al. 10.5194/acp-19-8339-2019
- Local and synoptic meteorological influences on daily variability in summertime surface ozone in eastern China H. Han et al. 10.5194/acp-20-203-2020
- Novel Method for Ozone Isopleth Construction and Diagnosis for the Ozone Control Strategy of Chinese Cities H. Shen et al. 10.1021/acs.est.1c01567
- Full-coverage mapping and spatiotemporal variations of ground-level ozone (O3) pollution from 2013 to 2020 across China J. Wei et al. 10.1016/j.rse.2021.112775
- Meteorology and topographic influences on nocturnal ozone increase during the summertime over Shaoguan, China Y. He et al. 10.1016/j.atmosenv.2021.118459
- ATVNP: ANTHROPOGENIC TEMPORAL VARIATION OF NO2OVER PAKISTAN N. Minallah 10.26782/jmcms.2020.08.00050
- Detectability assessment of a satellite sensor for lower tropospheric ozone responses to its precursors emission changes in East Asian summer M. Kajino et al. 10.1038/s41598-019-55759-7
- Spatio-temporal variations and trends of major air pollutants in China during 2015–2018 K. Maji & C. Sarkar 10.1007/s11356-020-09646-8
- Spatiotemporal distributions of surface ozone levels in China from 2005 to 2017: A machine learning approach R. Liu et al. 10.1016/j.envint.2020.105823
- Inferring vertical variability and diurnal evolution of O3 formation sensitivity based on the vertical distribution of summertime HCHO and NO2 in Guangzhou, China Q. Hong et al. 10.1016/j.scitotenv.2022.154045
- A Stratospheric Intrusion-Influenced Ozone Pollution Episode Associated with an Intense Horizontal-Trough Event Y. Wang et al. 10.3390/atmos11020164
- Satellite-Based Long-Term Spatiotemporal Patterns of Surface Ozone Concentrations in China: 2005–2019 Q. Zhu et al. 10.1289/EHP9406
- Using Satellites to Track Indicators of Global Air Pollution and Climate Change Impacts: Lessons Learned From a NASA‐Supported Science‐Stakeholder Collaborative S. Anenberg et al. 10.1029/2020GH000270
- Impact of Black Carbon on Surface Ozone in the Yangtze River Delta from 2015 to 2018 Y. Tan et al. 10.3390/atmos12050626
- Estimating Spatiotemporal Variation in Ambient Ozone Exposure during 2013–2017 Using a Data-Fusion Model T. Xue et al. 10.1021/acs.est.0c03098
- Opposite impact of emission reduction during the COVID-19 lockdown period on the surface concentrations of PM2.5 and O3 in Wuhan, China H. Yin et al. 10.1016/j.envpol.2021.117899
- Ozone Continues to Increase in East Asia Despite Decreasing NO2: Causes and Abatements H. Lee et al. 10.3390/rs13112177
- Effect of springtime thermal forcing over Tibetan Plateau on summertime ozone in Central China during the period 1950–2019 Y. Wang et al. 10.1016/j.atmosres.2021.105735
- Identifying the spatiotemporal variations in ozone formation regimes across China from 2005 to 2019 based on polynomial simulation and causality analysis R. Li et al. 10.5194/acp-21-15631-2021
- Increases in surface ozone pollution in China from 2013 to 2019: anthropogenic and meteorological influences K. Li et al. 10.5194/acp-20-11423-2020
- Tree-based ensemble deep learning model for spatiotemporal surface ozone (O3) prediction and interpretation Z. Zang et al. 10.1016/j.jag.2021.102516
- Observation-based sources evolution of non-methane hydrocarbons (NMHCs) in a megacity of China Y. Peng et al. 10.1016/j.jes.2022.01.040
- Multi-decadal surface ozone trends at globally distributed remote locations O. Cooper et al. 10.1525/elementa.420
- Recent ozone trends in the Chinese free troposphere: role of the local emission reductions and meteorology G. Dufour et al. 10.5194/acp-21-16001-2021
- Decadal changes in ozone in the lower boundary layer over Beijing, China Y. Liu et al. 10.1016/j.atmosenv.2022.119018
- Impacts of climate anomalies on the interannual and interdecadal variability of autumn and winter haze in North China: A review J. Wang et al. 10.1002/joc.6471
- Real-time source contribution analysis of ambient ozone using an enhanced meta-modeling approach over the Pearl River Delta Region of China T. Fang et al. 10.1016/j.jenvman.2020.110650
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