43 citations as recorded by crossref.

1. Spatial and Temporal Distributions of Organophosphate Ester Concentrations from Atmospheric Particulate Matter Samples Collected across Houston, TX A. Clark et al. 10.1021/acs.est.7b00115
2. Investigation on the 2018 prolonged freezing event in South China using the WRF model at convection-permitting resolution: Model performance and sensitivity analysis of physical parameterizations E. Yu et al. 10.1016/j.atmosres.2024.107645
3. The Impact of Surface Wind Data Assimilation on the Predictability of Near-Surface Plume Advection in the Case of the Fukushima Nuclear Accident T. SEKIYAMA et al. 10.2151/jmsj.2017-025
4. Study on the Impact of Various Observations Data Assimilation on the Meteorological Predictions over Eastern Part of the Korean Peninsula J. Kim et al. 10.5322/JESI.2018.27.11.1141
5. Examining the Effectiveness of Doppler Lidar-Based Observation Nudging in WRF Simulation for Wind Field: A Case Study over Osaka, Japan S. Nayak & I. Kanda 10.3390/atmos14060972
6. Four dimensional data assimilation (FDDA) impacts on WRF performance in simulating inversion layer structure and distributions of CMAQ-simulated winter ozone concentrations in Uintah Basin T. Tran et al. 10.1016/j.atmosenv.2018.01.012
7. Estimating power plant CO2 emission using OCO-2 XCO2 and high resolution WRF-Chem simulations T. Zheng et al. 10.1088/1748-9326/ab25ae
8. Bibliometric Analysis on Global Research Trends in Air Pollution Prediction Research Using Machine Learning from 1991–2023 Using Scopus Database A. Ansari & A. Quaff 10.1007/s41810-024-00221-z
9. Cause of nocturnal surface ozone enhancement in the North China Plain T. Hao et al. 10.1016/j.scitotenv.2024.176583
10. Allocating emissions to 4 km and 1 km horizontal spatial resolutions and its impact on simulated NOx and O3 in Houston, TX S. Pan et al. 10.1016/j.atmosenv.2017.06.026
11. Evaluation of the WRF-UCM mesoscale model and ECMWF global operational forecasts over the Paris region in the prospect of tracer atmospheric transport modeling J. Lian et al. 10.1525/elementa.319
12. One-way coupling of WRF with a Gaussian dispersion model: a focused fine-scale air pollution assessment on southern Mediterranean H. Snoun et al. 10.1007/s11356-019-05486-3
13. A study of model nighttime ozone bias in air quality modeling X. Li & B. Rappenglueck 10.1016/j.atmosenv.2018.09.046
14. Bias correcting and extending the PM forecast by CMAQ up to 7 days using deep convolutional neural networks A. Sayeed et al. 10.1016/j.atmosenv.2021.118376
15. A Long-Term WRF Meteorological Archive for Dispersion Simulations: Application to Controlled Tracer Experiments F. Ngan & A. Stein 10.1175/JAMC-D-16-0345.1
16. Performance Assessment of Dynamic Downscaling of WRF to Simulate Convective Conditions during Sagebrush Phase 1 Tracer Experiments S. Bhimireddy & K. Bhaganagar 10.3390/atmos9120505
17. Improvement of Stable Atmospheric Boundary Simulation with High-Spatiotemporal-Resolution Nudging over the North China Plain T. Xu et al. 10.3390/atmos15030277
18. Unraveling the interaction of urban emission plumes and marine breezes involved in the formation of summertime coastal high ozone on Long Island J. Zhang et al. 10.1039/D2EA00061J
19. Influence of Cold Fronts on Variability of Daily Surface O3 over the Houston-Galveston-Brazoria Area in Texas USA during 2003–2016 R. Lei et al. 10.3390/atmos9050159
20. Characterization of Regional Wind Patterns Using Self-Organizing Maps: Impact on Dallas–Fort Worth Long-Term Ozone Trends A. Kotsakis et al. 10.1175/JAMC-D-18-0045.1
21. Widespread missing super-emitters of nitrogen oxides across China inferred from year-round satellite observations Y. Pan et al. 10.1016/j.scitotenv.2022.161157
22. The role of observation nudging in high-resolution simulations of the 2016 Tunisian dust storm event H. Snoun et al. 10.1007/s41207-024-00629-6
23. Modeling expected air quality impacts of Oregon's proposed expanded clean fuels program Y. Li et al. 10.1016/j.atmosenv.2023.119582
24. Ozone production by corona discharges during a convective event in DISCOVER-AQ Houston A. Kotsakis et al. 10.1016/j.atmosenv.2017.04.018
25. Potential impacts of electric vehicles on air quality and health endpoints in the Greater Houston Area in 2040 S. Pan et al. 10.1016/j.atmosenv.2019.03.022
26. Discrepancies between modeled and observed nocturnal isoprene in an urban environment and the possible causes: A case study in Houston L. Diao et al. 10.1016/j.atmosres.2016.07.009
27. Significant wintertime PM<sub>2.5</sub> mitigation in the Yangtze River Delta, China, from 2016 to 2019: observational constraints on anthropogenic emission controls L. Wang et al. 10.5194/acp-20-14787-2020
28. Investigation of Primary Factors Affecting the Variation of Modeled Oak Pollen Concentrations: A Case Study for Southeast Texas in 2010 W. Jeon et al. 10.1007/s13143-017-0057-9
29. Open‐Path Dual‐Comb Spectroscopy for Multispecies Trace Gas Detection in the 4.5–5 µm Spectral Region F. Giorgetta et al. 10.1002/lpor.202000583
30. Nitrogen dioxide and formaldehyde measurements from the GEOstationary Coastal and Air Pollution Events (GEO-CAPE) Airborne Simulator over Houston, Texas C. Nowlan et al. 10.5194/amt-11-5941-2018
31. Impact of data assimilation and aerosol radiation interaction on Lagrangian particle dispersion modelling M. Jia et al. 10.1016/j.atmosenv.2020.118179
32. Computationally efficient air quality forecasting tool: implementation of STOPS v1.5 model into CMAQ v5.0.2 for a prediction of Asian dust W. Jeon et al. 10.5194/gmd-9-3671-2016
33. Bibliometric analysis of Indian research trends in air quality forecasting research using machine learning from 2007–2023 using Scopus database A. Ansari & A. Quaff 10.35208/ert.1434390
34. Apportioned primary and secondary organic aerosol during pollution events of DISCOVER-AQ Houston S. Yoon et al. 10.1016/j.atmosenv.2020.117954
35. GPS-ZTD data assimilation and its impact on wintertime haze prediction over North China Plain using WRF 3DVAR and CMAQ modeling system L. Gao et al. 10.1007/s11356-021-15248-9
36. Air quality and health co-benefits of vehicle electrification and emission controls in the most populated United States urban hubs: Insights from New York, Los Angeles, Chicago, and Houston S. Mousavinezhad et al. 10.1016/j.scitotenv.2023.169577
37. Comparing the interactions between particulate matter and cloud properties over two populated cities in Texas using WRF-Chem fine-resolution modeling N. Khorshidian et al. 10.1016/j.atmosenv.2024.120795
38. Impact of high-resolution sea surface temperature, emission spikes and wind on simulated surface ozone in Houston, Texas during a high ozone episode S. Pan et al. 10.1016/j.atmosenv.2016.12.030
39. Exploring aerosol–cloud interactions in liquid-phase clouds over eastern China and its adjacent ocean using the WRF-Chem–SBM model J. Zhao et al. 10.5194/acp-24-9101-2024
40. Surface MDA8 ozone variability during cold front events over the contiguous United States during 2003–2017 R. Lei et al. 10.1016/j.atmosenv.2019.06.003
41. Impact of a Dense Surface Network on High-Resolution Dynamical Downscaling via Observation Nudging X. Yi et al. 10.1175/JAMC-D-20-0071.1
42. Constraining NOx emissions using satellite NO2 measurements during 2013 DISCOVER-AQ Texas campaign A. Souri et al. 10.1016/j.atmosenv.2016.02.020
43. Modeling the effect of relative humidity on nitrous acid formation in the Houston area L. Diao et al. 10.1016/j.atmosenv.2016.01.053