33 citations as recorded by crossref.

1. Enhancing Air Pollution Forecasts in Cities by Characterizing the Urban Heat Island Effects on Planetary Boundary Layers L. Matak & M. Momen https://doi.org/10.1016/j.atmosres.2025.107923
2. Understanding the elevated PM2.5 pollution in the Middle East during May 2022: Insights from numerical simulations I. Sulaymon et al. https://doi.org/10.1016/j.atmosres.2025.108527
3. Change of aerosol properties and transport mechanisms in Beijing during 2021-2024 R. Xu et al. https://doi.org/10.1016/j.apr.2026.103152
4. COVID-19 lockdown was insufficient to bring India’s PM2.5 levels below national standards I. Nandi et al. https://doi.org/10.1088/2515-7620/add3d4
5. Modelling uncertainty in WRF-based extreme rainfall simulations over India: A review toward integrated atmosphere-chemistry-hydrology frameworks S. Maurya & P. Soni https://doi.org/10.1016/j.atmosres.2026.109152
6. Assessment of the Statistical Performance of Chemical Transport Model Studies in India R. Shandilya et al. https://doi.org/10.1021/acsestair.4c00072
7. Assessing the accuracy of meteorological transport model ensemble towards estimating Indian carbon fluxes T. Anna Mathew et al. https://doi.org/10.1088/2752-5295/adffa7
8. Evaluating the role of microphysical schemes in a cloud-resolving scale on simulation of heavy rainfall events near the coastal region of southern India K. Chanchal & K. Singh https://doi.org/10.1007/s40808-025-02595-6
9. Aerosol type classification and its temporal distribution in Kanpur using ground-based remote sensing N. Sharma et al. https://doi.org/10.1016/j.jastp.2024.106366
10. Black carbon pollution over India simulated with recent emission inventories and WRF-CHEM model R. Sheoran et al. https://doi.org/10.1016/j.atmosres.2025.107931
11. Advancements in satellite-based methane point source monitoring: A systematic review F. Mohammadimanesh et al. https://doi.org/10.1016/j.isprsjprs.2025.03.020
12. Machine Learning Bias Correction of HRRR-Smoke Surface PM2.5 Forecasts during the Alaska Wildfire Season Z. Dong et al. https://doi.org/10.1021/acsestair.5c00409
13. Impacts of future land use and land cover changes on air quality in China W. Liu et al. https://doi.org/10.1038/s41612-026-01420-w
14. NOx emissions constraints from GEMS NO2 retrievals: inversion methodology and air quality model evaluation in Bangkok using ASIA-AQ multi-platform observations J. Christopoulos et al. https://doi.org/10.5194/acp-26-8021-2026
15. Refined agricultural emissions reveal previously underestimated mortality and temperature impacts in India B. Thirunagari et al. https://doi.org/10.1016/j.icee.2026.100005
16. Source, transport and impact of biomass burning emissions in spring 2024 in Yunnan, China L. Lv et al. https://doi.org/10.1016/j.jes.2025.10.040
17. Physicochemical and Molecular Insights into the Boundary Layer and Free Troposphere Aerosol Interactions over the Southern Great Plains X. Mansoura et al. https://doi.org/10.1021/acs.est.5c10903
18. Quantifying the dominant sources influencing the 2016 particulate matter pollution episode over northern India P. Agarwal et al. https://doi.org/10.1039/D3EA00174A
19. India’s peak air pollution puzzle: untangling the role of meteorology, emissions, and cross-border contribution N. Singh et al. https://doi.org/10.1088/1748-9326/ae5672
20. Investigating the role of aerosol wet scavenging on global horizontal irradiance simulation in the WRF-Chem-solar model S. Wang et al. https://doi.org/10.1016/j.apenergy.2025.126062
21. Emission time and amount of crop residue burning play critical role on PM2.5 variability during October–November in northwestern India during 2022–2024 A. Biswal et al. https://doi.org/10.1039/D5EA00052A
22. Drone measurements reveal high near-surface urban haze A. Ahlawat et al. https://doi.org/10.1038/s44407-025-00044-3
23. Efficacy of machine learning in simulating precipitation and its extremes over the capital cities in North Indian states A. Tandon et al. https://doi.org/10.1038/s41598-024-84360-w
24. Hotspot driven air pollution during crop residue burning season in the Indo-Gangetic Plain, India U. Saharan et al. https://doi.org/10.1016/j.envpol.2024.124013
25. Exploring the impacts of urban-rural fringe development on heat and particulate dispersion in Wuhan, China using WRF-Chem integrated with LCZ W. Ding et al. https://doi.org/10.1016/j.uclim.2025.102753
26. Validation and Spatial–Temporal Variability of Particulate Matter in Urban area Using WRF-Chem with Local and Global Emission Inventories Y. Rami et al. https://doi.org/10.1007/s11270-024-07540-4
27. Validation of a 10-meter wind in simulating a dust event in northwestern Iran mountains (October 28–31, 2017) E. Mobarak Hassan et al. https://doi.org/10.1016/j.aeolia.2025.101002
28. Integrating WRF-CHEM simulation with Random Forest algorithm to evaluate the spatio-temporal variation of PM10 in Western Himalayan region of India H. Tripathi et al. https://doi.org/10.1080/02786826.2026.2666422
29. Assessment of quasi-global surface ozone simulations with WRF-chem using multi-dataset evaluation L. Wu et al. https://doi.org/10.1016/j.envpol.2026.128230
30. Spatial–temporal patterns in anthropogenic and biomass burning emission contributions to air pollution and mortality burden changes in India from 1995 to 2014 B. Luo et al. https://doi.org/10.5194/acp-25-4767-2025
31. Comprehending dust aerosol impacts on cloud and rainfall distribution during a ‘dust-rain’ storm through WRF-Chem simulations A. Sarkar & J. Panda https://doi.org/10.1007/s11069-025-07438-2
32. Evaluation of spatial distribution of cancer risk induced by traffic-related ultrafine particles within an urban microenvironment in New Taipei City, Taiwan P. Chang & T. Hsiao https://doi.org/10.1016/j.jhazmat.2026.141024
33. Modeling and Analysis of Long-Range Dust Transport from the Sahara and Arabian Deserts To West Asia Using WRF-Chem and Remote Sensing: Insights from the Spring 2015 Dust Event Y. Aydin et al. https://doi.org/10.1007/s41748-026-01043-4