17 citations as recorded by crossref.

1. Constraining NOx emissions using satellite NO2 measurements during 2013 DISCOVER-AQ Texas campaign A. Souri et al. 10.1016/j.atmosenv.2016.02.020
2. Impact of updated traffic emissions on HONO mixing ratios simulated for urban site in Houston, Texas B. Czader et al. 10.5194/acp-15-1253-2015
3. Effect of Ambient Temperature on Total Organic Gas Speciation Profiles from Light-Duty Gasoline Vehicle Exhaust A. Roy et al. 10.1021/acs.est.6b01081
4. The impact of observation nudging on simulated meteorology and ozone concentrations during DISCOVER-AQ 2013 Texas campaign X. Li et al. 10.5194/acp-16-3127-2016
5. A 15-year climatology of wind pattern impacts on surface ozone in Houston, Texas A. Souri et al. 10.1016/j.atmosres.2016.02.007
6. 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
7. A real-time hourly ozone prediction system using deep convolutional neural network E. Eslami et al. 10.1007/s00521-019-04282-x
8. Modeling the uncertainty of several VOC and its impact on simulated VOC and ozone in Houston, Texas S. Pan et al. 10.1016/j.atmosenv.2015.09.029
9. A quantitative analysis of grid nudging effect on each process of PM 2.5 production in the Korean Peninsula W. Jeon et al. 10.1016/j.atmosenv.2015.10.050
10. Regional background O3 and NOx in the Houston–Galveston–Brazoria (TX) region: a decadal-scale perspective L. Suciu et al. 10.5194/acp-17-6565-2017
11. 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
12. Using wavelet transform and dynamic time warping to identify the limitations of the CNN model as an air quality forecasting system E. Eslami et al. 10.5194/gmd-13-6237-2020
13. Chemical condition and surface ozone in large cities of Texas during the last decade: Observational evidence from OMI, CAMS, and model analysis Y. Choi & A. Souri 10.1016/j.rse.2015.06.026
14. A data ensemble approach for real-time air quality forecasting using extremely randomized trees and deep neural networks E. Eslami et al. 10.1007/s00521-019-04287-6
15. Impacts of TROPOMI-Derived NOX Emissions on NO2 and O3 Simulations in the NCP during COVID-19 Y. Zhu et al. 10.1021/acsenvironau.2c00013
16. Using land use variable information and a random forest approach to correct spatial mean bias in fused CMAQ fields for particulate and gas species N. Senthilkumar et al. 10.1016/j.atmosenv.2022.118982
17. Impact of the COVID-19 outbreak on air pollution levels in East Asia M. Ghahremanloo et al. 10.1016/j.scitotenv.2020.142226