13 citations as recorded by crossref.

1. Impact of model resolution and its representativeness consistency with observations on operational prediction of PM2.5 with 3D-VAR data assimilation Y. Wei et al. 10.1016/j.apr.2024.102141
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3. Ecosystem Service Flow Perspective of Urban Green Land: Spatial Simulation and Driving Factors of Cooling Service Flow Y. Zhou et al. 10.3390/land12081527
4. Nonstationary modeling of NO2, NO and NOx in Paris using the Street-in-Grid model: coupling local and regional scales with a two-way dynamic approach L. Lugon et al. 10.5194/acp-20-7717-2020
5. Identify the contribution of elevated industrial plume to ground air quality by optical and machine learning methods L. Feng et al. 10.1088/2515-7620/ab7634
6. A multi-model approach to monitor emissions of CO2 and CO from an urban–industrial complex I. Super et al. 10.5194/acp-17-13297-2017
7. Modelling chain for the effect of road traffic on air and water quality: Techniques, current status and future prospects M. Fallah Shorshani et al. 10.1016/j.envsoft.2014.11.020
8. Photochemical grid model performance with varying horizontal grid resolution and sub-grid plume treatment for the Martins Creek near-field SO2 study K. Baker et al. 10.1016/j.atmosenv.2014.09.064
9. Aerosol Plume Characterization From Multitemporal Hyperspectral Analysis P. Foucher et al. 10.1109/JSTARS.2019.2905052
10. A comprehensive review of Gaussian atmospheric dispersion models: current usage and future perspectives H. Snoun et al. 10.1007/s41207-023-00354-6
11. Examining single-source secondary impacts estimated from brute-force, decoupled direct method, and advanced plume treatment approaches J. Kelly et al. 10.1016/j.atmosenv.2015.04.004
12. Assessing Model Characterization of Single Source Secondary Pollutant Impacts Using 2013 SENEX Field Study Measurements K. Baker & M. Woody 10.1021/acs.est.6b05069
13. Multi-scale modeling of urban air pollution: development and application of a Street-in-Grid model (v1.0) by coupling MUNICH (v1.0) and Polair3D (v1.8.1) Y. Kim et al. 10.5194/gmd-11-611-2018