Data · dataset · 2026
Observed sensitivities of PM2.5 and O3 extremes to meteorological conditions in China and implications for the future
Listed in National Center for Atmospheric Research
Frequent extreme air pollution episodes in China accompanied with high concentrations of particulate matters (PM2.5) and ozone (O-3) are partly supported by meteorological conditions.
Description
However, the relationships between meteorological variables and pollution extremes can be poorly estimated solely based on mean pollutant level. In this study, we use quantile regression to investigate meteorological sensitivities of PM2.5 and O-3 extremes, benefiting from nationwide observations of air pollutants over 2013-2019 in China.
Results show that surface winds and humidity are identified as key drivers for high PM(2.5 )events during both summer and winter, with greater sensitivities at higher percentiles. Higher humidity favors the hydroscopic growth of particles during winter, but it tends to decrease PM(2.5 )through wet scavenging during summer. Surface temperature play dominant role in summer O-3 extremes, especially in VOC-limited regime, followed by surface winds and radiation.
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Sensitivities of O-3 to meteorological conditions are relatively unchanging across percentiles. Under the fossil-fueled development pathway (SSP5-8.5) scenario, meteorological conditions are projected to favor winter PM2.5 extremes in North China Plain (NCP), Yangtze River Delta (YRD) and Sichuan Basin (SCB), mainly due to enhanced surface specific humidity. Summer O-3 extremes are likely to occur more frequently in the NCP and YRD, associated with warmer temperature and stronger solar radiation.
Besides, meteorological conditions over a relatively longer period play a more important role in the formation of pollution extremes. These results improve our understanding of the relationships between extreme PM2.5 and O-3 pollution and meteorology, and can be used as a valuable reference of model predicted air pollution extremes.
Links
Get the data
- Publisher page n2t.org/ark:/85065/d7dz0d3t ↗
documentation · download · from data ucar edu
Where it is published
- data.ucar.edu /dataset/observed-sensitivities-of-pm2-5-and-o3-extremes-to-met… ↗
National Center for Atmospheric Research dataset page
landing page · from data ucar edu
Catalogue records · 1
- CKAN API data.ucar.edu/api/3/action/package_show?id=2f955bd7-abe8-414b-a275-cc9ac2e2a… ↗
metadata API · from data ucar edu
Topics
- From keywords
- Earth & Environmental Science · Ocean & Atmospheric Science
- Inferred from text
- Atmospheric sciences 72%
Provenance · 1 source records, 8 field assertions
| Source | Key | Last seen | Raw |
|---|---|---|---|
| National Center for Atmospheric Research | 2f955bd7-abe8-414b-a275-cc9ac2e2aeef | 13 d ago | JSON v1 |
| Field | Assertion | Extractor | Evidence |
|---|---|---|---|
| concepts[field].anzsrc:group:3701 | enrichment · data ucar edu | taxonomy-embedding@1.1.0 | title+keywords+description (72%) |
| concepts[field].local:field:earth-environmental | mapping · data ucar edu | connector:data_ucar_edu@1.0.0 | |
| concepts[field].local:field:ocean-atmospheric | mapping · data ucar edu | connector:data_ucar_edu@1.0.0 | |
| created_date | source · data ucar edu | connector:data_ucar_edu@1.0.0 | |
| description | source · data ucar edu | connector:data_ucar_edu@1.0.0 | /notes |
| publication_date | source · data ucar edu | connector:data_ucar_edu@1.0.0 | |
| title | source · data ucar edu | connector:data_ucar_edu@1.0.0 | /title |
| updated_date | source · data ucar edu | connector:data_ucar_edu@1.0.0 |