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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

Tian Han, Xiaomin Hu, Jing Zhang, Wenhao Xue, Yunfei Che, Xiaoqing Deng, Lihua Zhou

2023Environmental Pollution17 citationsDOI

Topics & Concepts

OzoneEnvironmental sciencePollutionBeijingWeather Research and Forecasting ModelCrop yieldYield (engineering)Air pollutionAir quality indexMeteorologyAtmospheric sciencesChemistryChinaAgronomyGeographyMetallurgyBiologyMaterials scienceArchaeologyOrganic chemistryGeologyEcologyAtmospheric chemistry and aerosolsPlant responses to elevated CO2Air Quality Monitoring and Forecasting
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 | Litcius