August 09, 2019 article Open access Machine learning for observation bias correction with application to dust storm data assimilation Atmospheric chemistry and physics DOI: 10.5194/acp-19-10009-2019 Full text (OA) OpenAlex Authors 0 Author list not loaded yet. Cited by 12 stored of 80 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 The sensitivity of aerosol data assimilation to vertical profiles: case study of dust storm assimilation with LOTOS-EUROS v2.2 2025 Geoscientific model development article Environmental Science Atmospheric aerosols and clouds Open access 1 citations Comment on gmd-2024-113 2025 peer-review Environmental Science Atmospheric aerosols and clouds Open access 0 citations Observational operator for fair model evaluation with ground NO 2 measurements 2024 Geoscientific model development article Earth and Planetary Sciences Atmospheric chemistry and aerosols Open access 2 citations Valid time shifting ensemble Kalman filter (VTS-EnKF) for dust storm forecasting 2024 Geoscientific model development article Earth and Planetary Sciences Meteorological Phenomena and Simulations Open access 10 citations Comment on gmd-2023-216 2024 peer-review Earth and Planetary Sciences Atmospheric chemistry and aerosols Open access 0 citations Comment on gmd-2023-216 2024 peer-review Earth and Planetary Sciences Atmospheric chemistry and aerosols Open access 0 citations Observational operator for fair model calibration with ground NO 2 measurements 2024 preprint Environmental Science Air Quality Monitoring and Forecasting Open access 0 citations Dust storm forecasting through coupling LOTOS-EUROS with localized ensemble Kalman filter 2023 Atmospheric Environment article Environmental Science Atmospheric aerosols and clouds Open access 7 citations Development of a regional feature selection-based machine learning system (RFSML v1.0) for air pollution forecasting over China 2022 Geoscientific model development article Environmental Science Air Quality Monitoring and Forecasting Open access 25 citations Comment on gmd-2022-134 2022 peer-review Environmental Science Air Quality Monitoring and Forecasting Open access 0 citations Comment on gmd-2022-134 2022 peer-review Environmental Science Air Quality Monitoring and Forecasting Open access 0 citations Development of a regional feature selection-based machine learning system (RFSML v1.0) for air pollution forecasting over China 2022 preprint Environmental Science Air Quality Monitoring and Forecasting Open access 0 citations 12 results References 0