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Journal of the Air & Waste Management Association Volume 65, 2015 - Issue 10
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Technical Papers

Using optimal interpolation to assimilate surface measurements and satellite AOD for ozone and PM2.5: A case study for July 2011

Youhua TangNOAA Air Resources Laboratory, College Park, MD, USA;Cooperative Institute for Climate and Satellites, University of Maryland, College Park, MD, USACorrespondence[email protected]
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Tianfeng ChaiNOAA Air Resources Laboratory, College Park, MD, USA;Cooperative Institute for Climate and Satellites, University of Maryland, College Park, MD, USAView further author information
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Li PanNOAA Air Resources Laboratory, College Park, MD, USA;Cooperative Institute for Climate and Satellites, University of Maryland, College Park, MD, USAView further author information
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Pius LeeNOAA Air Resources Laboratory, College Park, MD, USAView further author information
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Daniel TongNOAA Air Resources Laboratory, College Park, MD, USA;Cooperative Institute for Climate and Satellites, University of Maryland, College Park, MD, USA;Center for Spatial Information Science and Systems, George Mason University, Fairfax, VA, USAView further author information
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Hyun-Cheol KimNOAA Air Resources Laboratory, College Park, MD, USA;Cooperative Institute for Climate and Satellites, University of Maryland, College Park, MD, USAView further author information
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Weiwei ChenNOAA Air Resources Laboratory, College Park, MD, USA;Northeast Institute of Geography and Agroecology, Chinese Academy of Sciences, Changchun, People’s Republic of ChinaView further author information
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Pages 1206-1216 | Received 16 Feb 2015, Accepted 10 Jun 2015, Published online: 09 Oct 2015

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John N. McHenry, Jeffery M. Vukovich & N. Christina Hsu. (2015) Development and implementation of a remote-sensing and in situ data-assimilating version of CMAQ for operational PM2.5 forecasting. Part 1: MODIS aerosol optical depth (AOD) data-assimilation design and testing. Journal of the Air & Waste Management Association 65:12, pages 1395-1412.
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Siting Li, Ping Wang, Hong Wang, Yue Peng, Zhaodong Liu, Wenjie Zhang, Hongli Liu, Yaqiang Wang, Huizheng Che & Xiaoye Zhang. (2023) Implementation and application of ensemble optimal interpolation on an operational chemistry weather model for improving PM 2.5 and visibility predictions . Geoscientific Model Development 16:14, pages 4171-4191.
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Ke Li, Kaixu Bai, Zhengqiang Li, Jianping Guo & Ni-Bin Chang. (2022) Synergistic data fusion of multimodal AOD and air quality data for near real-time full coverage air pollution assessment. Journal of Environmental Management 302, pages 114121.
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Yanchao Zhang, Caijun Zhang, Yang Han, Bo Wang, Liguang Zhu & Qingjun Zhang. (2021) Jet Characteristics of a High-Mach-Number Oxygen-Lance Nozzle Under High Oxygen Pressure. Metallurgical and Materials Transactions B 52:6, pages 4070-4081.
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Siqi Ma, Daniel Tong, Lok Lamsal, Julian Wang, Xuelei Zhang, Youhua Tang, Rick Saylor, Tianfeng Chai, Pius Lee, Patrick Campbell, Barry Baker, Shobha Kondragunta, Laura Judd, Timothy A. Berkoff, Scott J. Janz & Ivanka Stajner. (2021) Improving predictability of high-ozone episodes through dynamic boundary conditions, emission refresh and chemical data assimilation during the Long Island Sound Tropospheric Ozone Study (LISTOS) field campaign. Atmospheric Chemistry and Physics 21:21, pages 16531-16553.
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Xiaoyang Chen, Yang Zhang, Kai Wang, Daniel Tong, Pius Lee, Youhua Tang, Jianping Huang, Patrick C. Campbell, Jeff Mcqueen, Havala O. T. Pye, Benjamin N. Murphy & Daiwen Kang. (2021) Evaluation of the offline-coupled GFSv15–FV3–CMAQv5.0.2 in support of the next-generation National Air Quality Forecast Capability over the contiguous United States. Geoscientific Model Development 14:6, pages 3969-3993.
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Xuguo Zhang, Jimmy C. H. Fung, Alexis K. H. Lau, Shaoqing Zhang & Wei Huang. (2021) Improved Modeling of Spatiotemporal Variations of Fine Particulate Matter Using a Three‐Dimensional Variational Data Fusion Method. Journal of Geophysical Research: Atmospheres 126:6.
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Jennifer D Stowell, Jianzhao Bi, Mohammad Z Al-Hamdan, Hyung Joo Lee, Sang-Mi Lee, Frank Freedman, Patrick L Kinney & Yang Liu. (2020) Estimating PM 2.5 in Southern California using satellite data: factors that affect model performance . Environmental Research Letters 15:9, pages 094004.
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Ming Liu, Gaoxiang Zhou, Rebecca K. Saari, Sabrina Li, Xiangnan Liu & Jonathan Li. (2019) Quantifying PM2.5 mass concentration and particle radius using satellite data and an optical-mass conversion algorithm. ISPRS Journal of Photogrammetry and Remote Sensing 158, pages 90-98.
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Jia Jung, Amir H. Souri, David C. Wong, Sojin Lee, Wonbae Jeon, Jhoon Kim & Yunsoo Choi. (2019) The Impact of the Direct Effect of Aerosols on Meteorology and Air Quality Using Aerosol Optical Depth Assimilation During the KORUS‐AQ Campaign. Journal of Geophysical Research: Atmospheres 124:14, pages 8303-8319.
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William H. Battye, Casey D. Bray, Viney P. Aneja, Daniel Tong, Pius Lee & Youhua Tang. (2019) Evaluating Ammonia (NH 3 ) Predictions in the NOAA NAQFC for Eastern North Carolina Using Ground Level and Satellite Measurements . Journal of Geophysical Research: Atmospheres 124:14, pages 8242-8259.
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Xiangshang Li & Bernhard Rappenglueck. (2018) A study of model nighttime ozone bias in air quality modeling. Atmospheric Environment 195, pages 210-228.
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Youhua Tang, Mariusz Pagowski, Tianfeng Chai, Li Pan, Pius Lee, Barry Baker, Rajesh Kumar, Luca Delle Monache, Daniel Tong & Hyun-Cheol Kim. (2017) A case study of aerosol data assimilation with the Community Multi-scale Air Quality Model over the contiguous United States using 3D-Var and optimal interpolation methods. Geoscientific Model Development 10:12, pages 4743-4758.
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Tianfeng Chai, Hyun‐Cheol Kim, Li Pan, Pius Lee & Daniel Tong. (2017) Impact of Moderate Resolution Imaging Spectroradiometer Aerosol Optical Depth and AirNow PM 2.5 assimilation on Community Multi‐scale Air Quality aerosol predictions over the contiguous United States . Journal of Geophysical Research: Atmospheres 122:10, pages 5399-5415.
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Ebony Lee, Milija Županski, Dusanka Županski & Seon Ki Park. (2017) Impact of the OMI aerosol optical depth on analysis increments through coupled meteorology–aerosol data assimilation for an Asian dust storm. Remote Sensing of Environment 193, pages 38-53.
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William H. Battye, Casey D. Bray, Viney P. Aneja, Daniel Tong, Pius Lee & Youhua Tang. (2016) Evaluating ammonia (NH3) predictions in the NOAA National Air Quality Forecast Capability (NAQFC) using in situ aircraft, ground-level, and satellite measurements from the DISCOVER-AQ Colorado campaign. Atmospheric Environment 140, pages 342-351.
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S. Lee, C. H. Song, R. S. Park, M. E. Park, K. M. Han, J. Kim, M. Choi, Y. S. Ghim & J.-H. Woo. (2016) GIST-PM-Asia v1: development of a numerical system to improve particulate matter forecasts in South Korea using geostationary satellite-retrieved aerosol optical data over Northeast Asia. Geoscientific Model Development 9:1, pages 17-39.
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