December 06, 2019 article Open access Application of the XGBoost Machine Learning Method in PM2.5 Prediction: A Case Study of Shanghai Aerosol and Air Quality Research DOI: 10.4209/aaqr.2019.08.0408 Full text (OA) OpenAlex Authors 0 Author list not loaded yet. Cited by 4 stored of 241 Search Sort Most cited Newest Oldest Patent citations Title Any typearticle review book-chapter conference-paper preprint dissertation book dataset other Any fieldAgricultural and Biological Sciences Arts and Humanities Biochemistry, Genetics and Molecular Biology Business, Management and Accounting Chemical Engineering Chemistry Computer Science Decision Sciences Dentistry Earth and Planetary Sciences Economics, Econometrics and Finance Energy Engineering Environmental Science Health Professions Immunology and Microbiology Materials Science Mathematics Medicine Neuroscience Nursing Pharmacology, Toxicology and Pharmaceutics Physics and Astronomy Psychology Social Sciences Veterinary Open access A gridded air quality forecast through fusing site-available machine learning predictions from RFSML v1.0 and chemical transport model results from GEOS-Chem v13.1.0 using the ensemble Kalman filter 2023 Geoscientific model development article Environmental Science Air Quality Monitoring and Forecasting Open access 14 citations Comment on gmd-2022-301 2023 peer-review Environmental Science Air Quality Monitoring and Forecasting Open access 0 citations Comment on gmd-2022-301 2023 peer-review Environmental Science Air Quality Monitoring and Forecasting Open access 0 citations EnKF-based fusion of site-available machine learning air quality predictions from RFSML v1.0 and gridded chemical transport model forecasts from GEOS-Chem v13.1.0 2023 preprint Environmental Science Air Quality Monitoring and Forecasting Open access 0 citations 4 results References 0