Preprints
https://doi.org/10.5194/egusphere-2025-43
https://doi.org/10.5194/egusphere-2025-43
14 Feb 2025
 | 14 Feb 2025
Status: this preprint is open for discussion and under review for Atmospheric Chemistry and Physics (ACP).

Anthropogenic aerosol influence on a mixed-phase cloud precipitation in early Meiyu season over Yangtze River Delta: simulated microphysical and thermodynamic effects

Ruiyu Song, Bin Zhu, Lina Sha, Peng Qian, Fei Wang, Chunsong Lu, Yan Yin, and Yuying Wang

Abstract. The influence of anthropogenic aerosols on cloud formation and precipitation, through their effects on cloud microphysics and thermodynamics, is crucial for understanding the environmental impacts of human activities. This study uses the WRF-Chem model to simulate a mixed-phase cloud precipitation event during the early Meiyu season over the Yangtze River Delta, China, focusing on how anthropogenic aerosols influence cloud and precipitation processes via microphysical and thermodynamic mechanisms. Model experiments indicate that anthropogenic emissions, ranging from very low to normal levels, lead to a 2 % increase in ice crystal mixing ratio and a 50 % increase in latent heat release (peak at 8 km with a rate of 1.2 K h-1), thereby strengthening convection and enhancing precipitation by 6 %. In contrast, high emissions elevate cloud condensation nuclei (CCN) and cloud droplet number concentration, but decrease ice crystal production by 14 % and reduce the mean radius of cloud droplets by 37 %. These changes weaken the falling speed and collision efficiency of cloud droplets, leading to enhanced evaporative cooling and reduced vertical velocity, ultimately resulting in a 28 % decrease in precipitation. Process analysis reveals that cloud droplets below 5 km are transported downstream and subsequently uplifted to 12 km, where they contribute to the formation of additional ice crystals, releasing latent heat that strengthens convection and increases precipitation in the downstream region. This work provides insights into the impacts of anthropogenic aerosol emissions on precipitation, offering valuable reference data for future research on aerosol-cloud-precipitation interactions.

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Ruiyu Song, Bin Zhu, Lina Sha, Peng Qian, Fei Wang, Chunsong Lu, Yan Yin, and Yuying Wang

Status: open (until 14 Apr 2025)

Comment types: AC – author | RC – referee | CC – community | EC – editor | CEC – chief editor | : Report abuse
Ruiyu Song, Bin Zhu, Lina Sha, Peng Qian, Fei Wang, Chunsong Lu, Yan Yin, and Yuying Wang

Data sets

CMORPH data Climate Prediction Center (CPC) https://www.ncei.noaa.gov/data/cmorph-high-resolution-global-precipitation-estimates/access/hourly/0.25deg/2020/06/

ERA5 data European Centre for Medium-Range Weather Forecasts, ECMWF https://cds.climate.copernicus.eu/datasets/reanalysis-era5-single-levels?tab=download

Obsgrid data for WRF-chem National Centers for Environmental Prediction–National Center for Atmospheric Research: NCEP–NCAR https://rda.ucar.edu/datasets/d461000/dataaccess/

MEIC data Tsinghua University http://meicmodel.org.cn/?page_id=560

Model code and software

WRF-chem V3.9.1 National Centers for Environmental Prediction–National Center for Atmospheric Research: NCEP–NCAR https://www2.mmm.ucar.edu/wrf/users/download/get_source.html

MEGAN National Centers for Environmental Prediction–National Center for Atmospheric Research: NCEP–NCAR https://www.acom.ucar.edu/wrf-chem/megan_bio_emiss.tar

MOZBC-4 National Centers for Environmental Prediction–National Center for Atmospheric Research: NCEP–NCAR https://www.acom.ucar.edu/wrf-chem/mozbc.tar

Ruiyu Song, Bin Zhu, Lina Sha, Peng Qian, Fei Wang, Chunsong Lu, Yan Yin, and Yuying Wang

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Short summary
This study examines how anthropogenic aerosols affect rainfall during the early summer in China’s Yangtze River Delta. Using the WRF-Chem model, we found that moderate emissions increase rainfall by boosting cloud formation. However, high emissions reduce rainfall due to smaller cloud droplets, which hinder their growth. These findings highlight the complex impact of aerosol concentrations on precipitation and provide valuable data for future research on aerosol-cloud-precipitation interactions.
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