Articles | Volume 15, issue 4
https://doi.org/10.5194/acp-15-1913-2015
© Author(s) 2015. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Special issue:
https://doi.org/10.5194/acp-15-1913-2015
© Author(s) 2015. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Research article
| 
24 Feb 2015
Research article |
| 24 Feb 2015
A comparison study between CMAQ-simulated and OMI-retrieved NO2 columns over East Asia for evaluation of NOx emission fluxes of INTEX-B, CAPSS, and REAS inventories
K. M. Han
School of Environmental Science and Engineering, Gwangju Institute of Science and Technology (GIST), Gwangju, South Korea
Advanced Environmental Monitoring Research Center (ADEMRC), Gwangju Institute of Science and Technology (GIST), Gwangju, 500-712, South Korea
School of Environmental Science and Engineering, Gwangju Institute of Science and Technology (GIST), Gwangju, South Korea
Advanced Environmental Monitoring Research Center (ADEMRC), Gwangju Institute of Science and Technology (GIST), Gwangju, 500-712, South Korea
L. S. Chang
Air Quality Monitoring and Forecasting Center, National Institute of Environmental Research (NIER), Incheon, 404-708, South Korea
C. H. Song
CORRESPONDING AUTHOR
School of Environmental Science and Engineering, Gwangju Institute of Science and Technology (GIST), Gwangju, South Korea
Advanced Environmental Monitoring Research Center (ADEMRC), Gwangju Institute of Science and Technology (GIST), Gwangju, 500-712, South Korea
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40 citations as recorded by crossref.
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- DeepSAT4D: Deep learning empowers four-dimensional atmospheric chemical concentration and emission retrieval from satellite S. Li & J. Xing 10.59717/j.xinn-geo.2024.100061
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- Detection of Strong NOX Emissions from Fine-scale Reconstruction of the OMI Tropospheric NO2 Product J. Lee et al. 10.3390/rs11161861
- Estimating Hourly Nitrogen Oxide Emissions over East Asia from Geostationary Satellite Measurements T. Xu et al. 10.1021/acs.estlett.3c00467
- Ozone and NOx chemistry in the eastern US: evaluation of CMAQ/CB05 with satellite (OMI) data T. Canty et al. 10.5194/acp-15-10965-2015
- Effectiveness of SO2 emission control policy on power plants in the Yangtze River Delta, China—post-assessment of the 11th Five-Year Plan J. Tan et al. 10.1007/s11356-017-8412-z
- Impact of spatial proxies on the representation of bottom-up emission inventories: A satellite-based analysis G. Geng et al. 10.5194/acp-17-4131-2017
- Impact of Meteorological Changes on Particulate Matter and Aerosol Optical Depth in Seoul during the Months of June over Recent Decades S. Yang et al. 10.3390/atmos11121282
- Assessment of a high-resolution NOX emission inventory using satellite observations: A case study of southern Jiangsu, China Y. Zhao et al. 10.1016/j.atmosenv.2018.07.029
- Evaluating the methods and influencing factors of satellite-derived estimates of NOX emissions at regional scale: A case study for Yangtze River Delta, China Y. Yang et al. 10.1016/j.atmosenv.2019.117051
- Development of a custom OMI NO2 data product for evaluating biases in a regional chemistry transport model G. Kuhlmann et al. 10.5194/acp-15-5627-2015
- Assessing mass balance-based inverse modeling methods via a pseudo-observation test to constrain NOx emissions over South Korea J. Mun et al. 10.1016/j.atmosenv.2022.119429
- Spatial Distribution and Temporal Trend of Tropospheric NO2 over the Wanjiang City Belt of China Y. Xie et al. 10.1155/2018/6597186
- A high-resolution and observationally constrained OMI NO2 satellite retrieval D. Goldberg et al. 10.5194/acp-17-11403-2017
- Air quality and health benefits from ultra-low emission control policy indicated by continuous emission monitoring: a case study in the Yangtze River Delta region, China Y. Zhang et al. 10.5194/acp-21-6411-2021
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- MAX-DOAS NO2 observations over Guangzhou, China; ground-based and satellite comparisons T. Drosoglou et al. 10.5194/amt-11-2239-2018
- Estimation of Power Plant Emissions With Unscented Kalman Filter S. Metia et al. 10.1109/JSTARS.2018.2832131
- Fine-Scale Columnar and Surface NOx Concentrations over South Korea: Comparison of Surface Monitors, TROPOMI, CMAQ and CAPSS Inventory H. Kim et al. 10.3390/atmos11010101
- A top-down assessment using OMI NO2 suggests an underestimate in the NOx emissions inventory in Seoul, South Korea, during KORUS-AQ D. Goldberg et al. 10.5194/acp-19-1801-2019
- An Estimation of Top-Down NOx Emissions from OMI Sensor Over East Asia K. Han et al. 10.3390/rs12122004
- A 15-year record (2001–2015) of the ratio of nitrate to non-sea-salt sulfate in precipitation over East Asia S. Itahashi et al. 10.5194/acp-18-2835-2018
- Development of a Reactive Plume Model for the Consideration of Power-Plant Plume Photochemistry and Its Applications Y. Kim et al. 10.1021/acs.est.6b03919
- Constraining NOx emissions using satellite NO2 measurements during 2013 DISCOVER-AQ Texas campaign A. Souri et al. 10.1016/j.atmosenv.2016.02.020
- Global high-resolution simulations of tropospheric nitrogen dioxide using CHASER V4.0 T. Sekiya et al. 10.5194/gmd-11-959-2018
- Evaluation of the emission inventory for large point emission sources in South Korea by applying measured data from the NASA/NIER KORUS-AQ aircraft field campaign M. Park et al. 10.1525/elementa.2022.00105
- Soil Emissions of Reactive Oxidized Nitrogen Reduce the Effectiveness of Anthropogenic Source Control in China Y. Wang et al. 10.1021/acs.est.4c08526
- Temporal Analysis of OMI-Observed Tropospheric NO2 Columns over East Asia during 2006–2015 K. Han 10.3390/atmos10110658
- A model investigation into the atmospheric NOy chemistry in remote continental Asia K. Han et al. 10.1016/j.atmosenv.2019.116817
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- Development of a high-resolution emission inventory and its evaluation and application through air quality modeling for Jiangsu Province, China Y. Zhou et al. 10.5194/acp-17-211-2017
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- Mobile MAX-DOAS observation of NO2 and comparison with OMI satellite data in the western coastal areas of the Korean peninsula J. Chong et al. 10.1016/j.chemosphere.2015.06.071
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