Processed data and code for: Regime-dependent expression of regional aerosol signals in urban PM10 and PM2.5 across arid northern China
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| Formato: | Recurso digital |
| Lenguaje: | inglés |
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2026
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| _version_ | 1866901267338493952 |
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| author | Filonchyk, Mikalai Hurynovich, Volha Zhou, Liang |
| author_facet | Filonchyk, Mikalai Hurynovich, Volha Zhou, Liang |
| contents | <p># Processed Data and Code for Regional Aerosol Synchronization Study</p> <p>This dataset contains processed data and code supporting the study:</p> <p>"Regime-dependent expression of regional aerosol signals in urban PM10 and PM2.5 across arid northern China"</p> <p>## DATA DESCRIPTION</p> <p>The repository includes:</p> <p>(1) **Daily PM10 and PM2.5 observations for 47 cities (2015–2025)** <br>(2) **Monthly aggregated PM data after quality control** <br>(3) **Leave-one-out regional signal estimates** <br>(4) **City-level metrics including R² and ΔR²** (difference in regional control between PM10 and PM2.5) <br>(5) **Regional PM–wind monthly data** for analysis of atmospheric ventilation regimes <br>(6) **ERA5 meteorological data** extracted at city locations </p> <p>## CODE</p> <p>Python scripts are provided to reproduce all figures and analyses presented in the manuscript.</p> <p>### figure2_regional_synchronization.py <br>Script for Figure 2: Regional synchronization of particulate pollution.</p> <p>### figure3_differential_regional_control.py <br>Script for Figure 3: Differential regional control of PM10 and PM2.5.</p> <p>### figure4_drivers_deltaR2.py <br>Script for Figure 4: Observed drivers of inter-city heterogeneity in ΔR².</p> <p>### figure5_wind_regime_analysis.py <br>Script for Figure 5: Wind-regime dependence of particulate pollution.</p> <p>## DATA SOURCES</p> <p>- **Air quality data** were obtained from the China National Environmental Monitoring Centre (CNEMC).<br>- **Meteorological data** were obtained from the ERA5 reanalysis dataset provided by the European Centre for Medium-Range Weather Forecasts via the Copernicus Climate Data Store.</p> <p>### Shapefiles:<br>The following shapefiles are included in this dataset for spatial analysis:<br>- `prov.shp`: Provincial boundaries of China.<br>- `china.shp`: Outer border of China.</p> <p>## LICENSE</p> <p>Creative Commons Attribution 4.0 International (CC BY 4.0)</p> |
| format | Recurso digital |
| id | zenodo_https___doi_org_10_5281_zenodo_19904816 |
| institution | Zenodo |
| language | eng |
| publishDate | 2026 |
| publisher | Zenodo |
| record_format | zenodo |
| spellingShingle | Processed data and code for: Regime-dependent expression of regional aerosol signals in urban PM10 and PM2.5 across arid northern China Filonchyk, Mikalai Hurynovich, Volha Zhou, Liang PM2.5 PM10 aerosols air pollution regional synchronization China ERA5 <p># Processed Data and Code for Regional Aerosol Synchronization Study</p> <p>This dataset contains processed data and code supporting the study:</p> <p>"Regime-dependent expression of regional aerosol signals in urban PM10 and PM2.5 across arid northern China"</p> <p>## DATA DESCRIPTION</p> <p>The repository includes:</p> <p>(1) **Daily PM10 and PM2.5 observations for 47 cities (2015–2025)** <br>(2) **Monthly aggregated PM data after quality control** <br>(3) **Leave-one-out regional signal estimates** <br>(4) **City-level metrics including R² and ΔR²** (difference in regional control between PM10 and PM2.5) <br>(5) **Regional PM–wind monthly data** for analysis of atmospheric ventilation regimes <br>(6) **ERA5 meteorological data** extracted at city locations </p> <p>## CODE</p> <p>Python scripts are provided to reproduce all figures and analyses presented in the manuscript.</p> <p>### figure2_regional_synchronization.py <br>Script for Figure 2: Regional synchronization of particulate pollution.</p> <p>### figure3_differential_regional_control.py <br>Script for Figure 3: Differential regional control of PM10 and PM2.5.</p> <p>### figure4_drivers_deltaR2.py <br>Script for Figure 4: Observed drivers of inter-city heterogeneity in ΔR².</p> <p>### figure5_wind_regime_analysis.py <br>Script for Figure 5: Wind-regime dependence of particulate pollution.</p> <p>## DATA SOURCES</p> <p>- **Air quality data** were obtained from the China National Environmental Monitoring Centre (CNEMC).<br>- **Meteorological data** were obtained from the ERA5 reanalysis dataset provided by the European Centre for Medium-Range Weather Forecasts via the Copernicus Climate Data Store.</p> <p>### Shapefiles:<br>The following shapefiles are included in this dataset for spatial analysis:<br>- `prov.shp`: Provincial boundaries of China.<br>- `china.shp`: Outer border of China.</p> <p>## LICENSE</p> <p>Creative Commons Attribution 4.0 International (CC BY 4.0)</p> |
| title | Processed data and code for: Regime-dependent expression of regional aerosol signals in urban PM10 and PM2.5 across arid northern China |
| topic | PM2.5 PM10 aerosols air pollution regional synchronization China ERA5 |
| url | https://doi.org/10.5281/zenodo.19904816 |