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Title
Abstract
Key Takeaways
Introduction
Methodology
Model, Experimental Design, and Analysis
Aerosol Retrospective Analysis Data
Results
Discussion
Conclusion
References
All Topics
Medicine and Health Sciences
Public Health, Environmental and Occupational Health

Meteorology-driven PM 2.5 interannual variability over East Asia

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https://doi.org/10.1016/J.SCITOTENV.2023.166911
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Abstract

that meteorological variations contributed more to PM 2.5 IAV than emission variations. Thus, when setting policies for complying with the WHO PM 2.5-related air quality guideline levels, the highest annual PM 2.5 associated with climate extremes should be considered instead of that based on average climate conditions.

Key takeaways
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  1. Meteorological variations significantly influence PM 2.5 interannual variability (IAV) more than emission variations.
  2. The study employs a 100-year CESM1 simulation with fixed emissions from the year 2000 to analyze PM 2.5 IAV.
  3. Top three dominant meteorological parameters affecting PM 2.5 IAV are humidity, precipitation, and ventilation, each contributing differently across regions.
  4. PM 2.5 IAV is approximately 2-12% over continental East Asia, with significant regional differences observed.
  5. Policymakers must consider meteorology-driven PM 2.5 IAV to meet WHO air quality guidelines effectively.

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Synoptic meteorological modes of variability for fine particulate matter (PM<sub>2.5</sub>) air quality in major metropolitan regions of China
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