A052
Data Assimilation and Inverse Modeling of the Atmospheric Composition

Session ID#: 76779

Session Description:
This session aims to bring together recent advances in the development and application of data assimilation (DA) and/or inverse modeling approaches in atmospheric chemistry and physics. We welcome contributions related to: a) top-down estimation of sources and sinks of gases and aerosols from urban to global scales, b) novel methods in using ‘big’ data, complex, and/or new observations for state, source and/or parameter estimation, c) applications of these systems in studies related to pollutant dispersion, local-to-global air quality, biogeochemistry, and weather/chemistry interactions, including transition to operational or near-real time applications of these systems; d) more efficient algorithms including deterministic, ensemble, and hybrid approaches to DA, inversion and sensitivity analysis; and e) other related studies.
Index Terms:

0322 Constituent sources and sinks [ATMOSPHERIC COMPOSITION AND STRUCTURE]
0365 Troposphere: composition and chemistry [ATMOSPHERIC COMPOSITION AND STRUCTURE]
1910 Data assimilation, integration and fusion [INFORMATICS]
3260 Inverse theory [MATHEMATICAL GEOPHYSICS]

Primary Convener:  Avelino F Arellano Jr, University of Arizona, Hydrology and Atmospheric Sciences, Tucson, AZ, United States
Conveners:  Daven K Henze, University of Colorado Boulder, Boulder, CO, United States and Pablo Saide, University of California Los Angeles, Atmospheric and Oceanic Sciences, Los Angeles, United States
Primary Liaison:  Pablo Saide, University of California Los Angeles, Atmospheric and Oceanic Sciences, Los Angeles, United States
 
Chemical Composition of PM2.5 from a Geophysical-Statistical Method that Combines Information from Satellites, Models, and Monitors (490343)
Aaron van Donkelaar1,2, Randall Martin2,3, Chi Li4 and Richard T. Burnett5, (1)Dalhousie University, Dept Physics & Atmospheric Science, Halifax, NS, Canada, (2)Washington University in St. Louis, Energy, Environmental & Chemical Engineering, St. Louis, United States, (3)Washington University in St. Louis, Energy, Environmental & Chemical Engineeering, St. Louis, United States, (4)University of California at Berkeley, Dept Chemistry, Berkeley, United States, (5)Health Canada, Population Studies Division, Ottawa, ON, Canada
 
How well can we constrain non-methane volatile organic compounds emissions over South America using OMI and TROPOMI formaldehyde data? (Invited) (492201)
Trissevgeni Stavrakou1, Jean-Francois Muller1, Maite Bauwens1, Isabelle De Smedt1, Michel Van Roozendael1, Corinne Vigouroux1 and Mathias Palm2, (1)Royal Belgian Institute for Space Aeronomy, Brussels, Belgium, (2)University of Bremen, Bremen, Germany
 
Constructing a carbon flux estimation system with originally bias corrected satellite data (498293)
Takashi Maki1, Takashi Nakamura2, Keiichi Kondo1 and Shoukichi Yabu2, (1)Meteorological Research Institute, Ibaraki, Japan, (2)Japan Meteorological Agency, Tokyo, Japan
 
Impacts of Data Assimilated Initial and Boundary Concentration Fields on Surface PM2.5 Predictions in South Korea via an Ensemble Kalman Filter (501151)
Soon-Young Park, Uzzal Kumar Dash, Jinhyeok Yu and Chul H. Song, GIST Gwangju Institute of Science and Technology, School of Earth Sciences and Environmental Engineering, Gwangju, South Korea
 
Improvement of the performances of PM2.5 predictions using data assimilation techniques over northeast Asia during the KORUS-AQ campaign (504185)
Jinhyeok Yu1, Sojin Lee1,2, Kyunghwa Lee1,3, Soon-Young Park1, Hun Hong1, Uzzal Kumar Dash1, Jhoon Kim4, Jung-Hun Woo5 and Chul H. Song1, (1)GIST Gwangju Institute of Science and Technology, School of Earth Sciences and Environmental Engineering, Gwangju, South Korea, (2)KIAPS Korea Insititute of Atmospheric Prediction Systems, Data Assimilation Team, Seoul, South Korea, (3)NIER National Institute of Environmental Research, Environmental Satellite Center, Incheon, South Korea, (4)Yonsei University, Department of Atmospheric Sciences, Seoul, South Korea, (5)Konkuk University, Seoul, South Korea
 
Reduction of Chinese anthropogenic NOx emissions in the past decade (509366)
Rui Zhu1, Zhe Jiang1, Kazuyuki Miyazaki2 and Folkert Boersma3, (1)University of Science and Technology of China, Hefei, China, (2)NASA Jet Propulsion Laboratory, California Institute of Technology, Pasadena, CA, United States, (3)Belgian Institute for Space Aeronomy, Brussels, Belgium
 
Evaluating the potential of chemical reanalysis products for air pollution exposure assessment (512596)
Kazuyuki Miyazaki and Kevin W Bowman, NASA Jet Propulsion Laboratory, California Institute of Technology, Pasadena, CA, United States
 
Convective transport of water vapor and air pollutants in the southeastern US: a multiscale modeling study including soil moisture and multispecies chemical data assimilation (518180)
Min Huang1, James H Crawford2, Kazuyuki Miyazaki3, Kevin W. Bowman3, Joseph A Santanello Jr4 and Sujay V Kumar4, (1)George Mason University Fairfax, Fairfax, VA, United States, (2)NASA LARC, Hampton, VA, United States, (3)NASA Jet Propulsion Laboratory, California Institute of Technology, Pasadena, CA, United States, (4)NASA Goddard Space Flight Center, Greenbelt, MD, United States
 
A Correlation-based Iteration Method for Determining the Characteristics of Multiple Sources (530888)
Jilin Wang1, Bin Wang1,2 and Juanjuan Liu1, (1)Institute of Atmospheric Physics, Chinese Academy of Sciences, Beijing, China, (2)Department of Earth System Science, Tsinghua University, Beijing, China
 
Impacts of Emission Inversion with Ensemble Kalman Filter on PM2.5 Source Apportionment over Yangtze River Delta (532676)
Shuzhuang Feng1, Fei Jiang1, Zheng Wu2, Hengmao Wang1 and Weimin Ju1, (1)Nanjing University, Nanjing, China, (2)Chongqing Institute of Meteorological Sciences, Chongqing, China
 
A novel ensemble Kalman inversion with bias correction and its application to estimating CO emission over China (538925)
Guanglin Jia1, Zhijiong Huang2, Yuanqian Xu1, Zhong Zhuangmin2, Sha Cher1, Huangjian Wu3, Xiao Tang3 and Junyu Zheng2, (1)South China University of Technology, School of Energy and Environment, Guangzhou, China, (2)Jinan University, Institute for Environmental and Climate Research, Guangzhou, China, (3)Institute of Atmospheric Physics, Chinese Academy of Sciences, Beijing, China
 
Improving the Regional Air-Quality Analysis and Forecasting System using WRF-Chem/WRFDA (545248)
Soyoung Ha, National Center for Atmospheric Research, Boulder, CO, United States and Zhiquan Liu, National Center for Atmospheric Research, Boulder, United States
 
Perspectives on atmospheric carbon monoxide, an attempt to disentangle errors from chemistry and emissions using multiple satellites and assimilation frameworks (559095)
Benjamin Gaubert1, Michael Trudeau2, Sourish Basu3, Antonia Gambacorta4, Kevin Raeder5, Louisa K Emmons6, Simone Tilmes7 and Helen Marie Worden1, (1)National Center for Atmospheric Research, Atmospheric Chemistry Observations & Modeling Laboratory, Boulder, CO, United States, (2)Cooperative Institute for Research in Environmental Sciences, Boulder, CO, United States, (3)NOAA, ESRL/GMD, Boulder, CO, United States, (4)I.M. & Systems Group, Inc., NOAA/NESDIS/STAR, College Park, MD, United States, (5)National Center for Atmospheric Research, Computational & Information Systems Lab, Boulder, CO, United States, (6)National Center for Atmospheric Research, Boulder, CO, United States, (7)National Center for Atmospheric Research, Atmospheric Chemistry, Observations, and Modeling Laboratory, Boulder, CO, United States
 
Integrating Aerosol Size Distribution Measurements with a 3D Chemical Transport Model (564655)
Dana McGuffin1, Peter Jonathan Adams1 and B. Erik Ydstie2, (1)Carnegie Mellon University, Pittsburgh, PA, United States, (2)Carnegie Mellon University, Chemical Engineering, Pittsburgh, United States
 
Assessing the Utility of CO2:CO Correlations in Improving Top-down Estimates of Fossil-fuel CO2 Emissions (568430)
Avelino F Arellano Jr, University of Arizona, Hydrology and Atmospheric Sciences, Tucson, AZ, United States, Wenfu Tang, National Center for Atmospheric Research, Boulder, CO, United States, Benjamin Gaubert, National Center for Atmospheric Research, Atmospheric Chemistry Observations & Modeling Laboratory, Boulder, CO, United States, Yonghoon Choi, NASA Langley Research Center, Hampton, VA, United States, Joshua P DiGangi, NASA Langley Research Center, Chemistry and Dynamics Branch, Hampton, VA, United States and Glenn S Diskin, NASA Langley Research Ctr, Hampton, VA, United States
 
Using an Ensemble Data Assimilation approach to estimate emissions for atmospheric composition in an operational framework (580814)
Richard J Engelen, Jerome Barre, Melanie Ades, Anna Agusti-panareda, Gianpaolo Balsamo, Nicolas Bousserez, Margarita Choulga, Johannes Flemming, Antje Inness, Zak Kipling, Sebastien Massart, Joe McNorton, Mark Parrington and Vincent-Henri Peuch, European Centre for Medium-Range Weather Forecasts, Reading, United Kingdom
 
Impact of ozone radiative coupling on the middle-atmosphere circulation and on the stratosphere-troposphere exchange in the Canadian Global Environmental Multi-scale model (GEM) (604067)
Irena Ivanova1, Jean de Grandpré1, Yves J Rochon2, Michael Sitwell2, Frederick Chosson3 and Paul Vaillancourt4, (1)Environment and Climate Change Canada, Air Quality Research Division, Dorval, QC, Canada, (2)Environment and Climate Change Canada, Air Quality Research Division, Toronto, ON, Canada, (3)Environment and Climate Change Canada, CMDM, Dorval, QC, Canada, (4)Environment and Climate Change Canada, Meteorological Research Division, Doval, QC, Canada
 
Inverse Modeling Constraints on Sources of NH3 using CrIS Remote Sensing Measurements (605987)
Hansen Cao1, Daven K Henze1, Mark Shephard2, Enrico Dammers3, Karen Cady-Pereira4, Matthew James Alvarado5, Chantelle Rose Lonsdale5, Gan Luo6, Fangqun Yu6, Liye Zhu7, Jesse O Bash8 and Venkatesh Rao9, (1)University of Colorado Boulder, Boulder, CO, United States, (2)Environment and Climate Change Canada, Toronto, Canada, (3)Environment and Climate Change Canada, Air Quality Research Division, Toronto, ON, Canada, (4)Atmospheric and Environmental Research, Lexington, MA, United States, (5)AER, Inc., Lexington, MA, United States, (6)SUNY Albany, Albany, NY, United States, (7)Colorado State University, Fort Collins, CO, United States, (8)U.S. Environmental Protection Agency, Durham, NC, United States, (9)USEPA, Office of Air Quality Planning and Standards, RTP, NC, United States
 
Non-Gaussian, Nonlinear Extensions for Ensemble Filter Data Assimilation (Invited) (607355)
Jeffrey L Anderson, NCAR, Boulder, CO, United States
 
Is there an Optimal CO2 Partial Column for Flux Inversions? (616016)
Sourish Basu, NASA Goddard Space Flight Center, Global Modeling and Assimilation Office, Greenbelt, MD, United States, Frédéric Chevallier, LSCE Laboratoire des Sciences du Climat et de l'Environnement, Gif-Sur-Yvette Cedex, France, Junjie Liu, Jet Propulsion Laboratory, Pasadena, CA, United States, Prabir Kumar Patra, Res. Inst. for Global Change, Yokohama, Japan, Susan Sund Kulawik, Bay Area Environmental Research Institute/NASA Ames Research Center, Mountain View, CA, United States and David Baker, NOAA, Boulder, United States
 
Improving WRF/CMAQ Model Performance using Satellite Data Assimilation Technique for the Uintah Basin - Utah, USA (620870)
Huy Tran and Trang Tran, Utah State University, Bingham Research Center, Logan, UT, United States
 
Evaluation of biomass burning smoke simulations incorporating near real-time inversions of multi-fire emissions over the Western U.S. (626991)
Xinxin Ye1, Pablo E Saide1, Arlindo daSilva2, Shobha Kondragunta3, Alexei Lyapustin2, Yujie Wang2, Jeffrey McQueen4, Richard J Engelen5, Vincent-Henri Peuch5, Mark Parrington5, R. Bradley Pierce6, Ravan Ahmadov7, Georg A Grell8, Edward J Hyer9, Didier Davignon10, Paul Makar11, Louisa K Emmons12 and Daven K Henze13, (1)University of California Los Angeles, Atmospheric and Oceanic Sciences, Los Angeles, CA, United States, (2)NASA Goddard Space Flight Center, Greenbelt, MD, United States, (3)NOAA/NESDIS/STAR, College Park, MD, United States, (4)NOAA, Center for Weather and Climate Prediction, National Weather Service, College Park, MD, United States, (5)European Centre for Medium-Range Weather Forecasts, Reading, United Kingdom, (6)Space Science and Engineering Center, University of Wisconsin Madison, Madison, WI, United States, (7)NOAA/ESRL/CSD, Boulder, CO, United States, (8)NOAA Earth System Research Laboratory, Boulder, CO, United States, (9)Naval Research Laboratory, Marine Meteorology Division, Monterey, CA, United States, (10)Canadian meteorological Centre Operations, MSC-CCMEP, Dorval, QC, Canada, (11)Environment and Climate Change Canada, Air Quality Research Division, Toronto, ON, Canada, (12)National Center for Atmospheric Research, Boulder, CO, United States, (13)University of Colorado Boulder, Boulder, CO, United States
 
Evaluating top-down NMVOCs emissions in Northeast Asia and their impacts on simulated O3 concentrations in South Korea using OMI retrievals and aircraft observations during the KORUS-AQ campaign (627868)
Jinkyul Choi1, Daven K Henze2, Hyeong-Ahn Kwon3, Hyung-Min Lee4, Yujin Oak5, Rokjin Park6, Kelvin Hamilton Bates7, Joannes Maasakkers8, Jung-Hun Woo9, Alan Fried10, Donald Ray Blake11, Isobel J Simpson11, Andrew John Weinheimer12, William H Brune13, David A. W, Miller14 and James Szykman15, (1)Goyang-si, Gyeonggi-do, South Korea, (2)University of Colorado Boulder, Boulder, CO, United States, (3)Seoul National University, Seoul, Korea, Republic of (South), (4)University of Colorado at Boulder, Boulder, CO, United States, (5)Seoul National University, Seoul, South Korea, (6)Seoul National University, School of Earth and Environmental Sciences, Seoul, South Korea, (7)California Institute of Technology, Pasadena, CA, United States, (8)Harvard University, Cambridge, MA, United States, (9)Konkuk University, Seoul, South Korea, (10)University of Colorado at Boulder, Institute of Arctic and Alpine Research, Boulder, CO, United States, (11)University of California Irvine, Irvine, CA, United States, (12)NCAR, Atmospheric Chemistry Observations and Modeling Laboratory, Boulder, CO, United States, (13)Pennsylvania State University, University Park, PA, United States, (14)Pennsylvania State University, Department of Ecosystem Science and Management, University Park, United States, (15)US EPA, ORD, National Exposure Research Laboratory, Hampton, VA, United States
 
Towards Refining Ammonia Emissions with CrIS Observations through Python-based Four-dimensional Variational Assimilation and CMAQ (633497)
Shannon Capps1, Mahmoudreza Momeni1, Matthew Lombardo2, Daven K Henze3, Amir Hakami4, Mark Shephard5, Steven P. Thomas6 and Peter J Rayner7, (1)Drexel University, Philadelphia, PA, United States, (2)Johns Hopkins University, Baltimore, MD, United States, (3)University of Colorado Boulder, Boulder, CO, United States, (4)Carleton University, Department of Civil and Environmental Engineering, Ottawa, ON, Canada, (5)Environment and Climate Change Canada, Toronto, Canada, (6)University of Melbourne, Parkville, VIC, Australia, (7)The University of Melbourne, Parkville, Australia
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