Consecutive wet deposition of nitrogen along half of China's coastal cities induced by Super Typhoon Muifa (2022) with multiple landfalls.

The extraordinary Super Typhoon (STY) Muifa (2022) made landfall four times and had a significant impact on the coastal regions from south to north of China. Although previous studies have demonstrated the 'pumping effect' of typhoons on the enhancement of reactive nitrogen (N) wet deposition over the ocean, it is uncertain how N deposition is influenced by typhoons that make prolonged mechanism due to multiple landfalls. In this study, the N wet deposition induced by STY Muifa was investigated from the perspective of in- and below-cloud processes based on the Nested Air Quality Prediction Modeling System with an online tracer-tagging module.

Examining the explosion effect of hail suppression operation phased array radar observation data.

During a hailstorm in Weining County, Bijie City, Guizhou Province, on July 27, 2022, the radar echo of a strong convective monomer rapidly changed after a hail suppression operation. Using high-spatiotemporal-resolution sector-scanning data at 12-s intervals from the X-band dual-polarization phased array radar, we analyzed macro and micro changes in the monomer before and after hail suppression. We inversely analyzed the three-dimensional wind field of the monomer using phased array radar data.

Climatic features of wind field and their impact on local air quality in Taiyuan Basin.

Taiyuan Basin has long been considered as one of the most air-polluted regions in China, closely related to its enclosed terrain and local climatic conditions. In this study, the wintertime climatic characteristics of the wind field and the corresponding boundary layer structure were investigated for their potential impact on local air quality in Taiyuan Basin, utilizing long-term Weather Research and Forecasting model simulations from 2015 to 2020. Prevailing southwesterly wind in this basin was revealed.

Rebuilding high-quality near-surface ozone data based on the combination of WRF-Chem model with a machine learning method to better estimate its impact on crop yields in the Beijing-Tianjin-Hebei region from 2014 to 2019.

In recent years, the problem of surface ozone pollution in China has been of great concern. According to observation data from monitoring stations, the concentration of near-surface ozone (O) in China has gradually increased in recent years, and ozone concentration often exceeds the contaminant limit standard, especially in the Beijing-Tianjin-Hebei (BTH) region. High O concentration pollution will adversely affect crop growth, which can cause crop yield losses.