A11F:
Advances in Data Assimilation, Inverse Modeling, and Forecasting of Trace Gases and Aerosols I Posters


Submit an Abstract to this Session


Session ID#: 56652

Session Description:
This session aims to bring together recent studies in local, regional, and global data assimilation (DA) and inverse modeling of the sources and sinks of trace gases and aerosols. We invite contributions on topics, including but not limited to: 1) advances in data assimilation, including new methodologies (ensemble, hybrid, non-Gaussian) to estimate emissions as well as to integrate observations at diverse spatial and temporal scales; 2) applications of DA systems in studies related to air quality, biogeochemistry, and weather/chemistry interactions; 3) novel methods in assimilating ‘big’ data, complex, and/or new observations; 4) characterization of model and observation errors and uncertainties and reconciliation of top-down and bottom-up estimates; 5) transition to operational or near-real time applications of these tools; and 6) evaluation of aerosol/chemical models against observations, including reanalysis products.
Primary Convener:  Avelino F Arellano Jr, University of Arizona, Department of Hydrology and Atmospheric Sciences, Tucson, AZ, United States
Conveners:  Sebastian Milinski, University of California Los Angeles, Atmospheric and Oceanic Sciences, Los Angeles, CA, United States, Virginie Buchard, NASA Goddard Space Flight Center, Greenbelt, MD, United States and Juli Rubin, U.S. Naval Research Laboratory, Remote Sensing Division, Washington, DC, United States
Primary Liaisons:  Avelino F Arellano Jr, University of Arizona, Department of Hydrology and Atmospheric Sciences, Tucson, AZ, United States and Daven K Henze, University of Colorado Boulder, Boulder, United States
Chairs:  Daven K Henze, University of Colorado Boulder, Boulder, United States, Juli Rubin, US Naval Research Laboratory, Washington, DC, United States, Sebastian Milinski, University of California Los Angeles, Atmospheric and Oceanic Sciences, Los Angeles, CA, United States and Virginie Buchard, NASA Goddard Space Flight Center, Greenbelt, MD, United States
OSPA Liaison:  Avelino F Arellano Jr, University of Arizona, Department of Hydrology and Atmospheric Sciences, Tucson, AZ, United States

Cross-Listed:
  • B - Biogeosciences
  • GC - Global Environmental Change
  • IN - Earth and Space Science Informatics
  • NG - Nonlinear Geophysics
Index Terms:

0322 Constituent sources and sinks [ATMOSPHERIC COMPOSITION AND STRUCTURE]
1910 Data assimilation, integration and fusion [INFORMATICS]
1986 Statistical methods: Inferential [INFORMATICS]
3260 Inverse theory [MATHEMATICAL GEOPHYSICS]

Abstracts Submitted to this Session:

Assimilation of Aerosol Observations in the NASA GEOS model (435089)
Virginie Buchard, NASA Goddard Space Flight Center, Greenbelt, MD, United States; Universities Space Research Association, Greenbelt, MD, United States, Arlindo daSilva, NASA Goddard Space Flight Center, Greenbelt, United States and Ricardo Todling, Global Modeling and Assimilation Office, NASA/GSFC, Greenbelt, MD, United States
Evaluation of the UKMO’s Unified Model (UM) utilizing the Coupled Large-scale Aerosol Simulator for Studies in Climate (CLASSIC) scheme to forecast global aerosols for real-time applications. (420517)
Christian S Wohlwend, Northrop Grumman Corporation Bellevue, Bellevue, NE, United States, Braedi Wickard, Northrop Grumman Corporation Bellevue, Omaha, NE, United States, James Raphael McCormick, Software Engineering Services, Bellevue, NE, United States and Timothy E Nobis, Northrop Grumman Corporation Bellevue, SEMS III, Bellevue, NE, United States
A large ensemble based data assimilation experiment with the coupled global atmosphere and aerosol transport models (361830)
Keiichi Kondo, Meteorological Research Institute, Ibaraki, Japan, Taichu Y Tanaka, Japan Meteorological Agency, Tokyo, Japan, Tsuyoshi Thomas Sekiyama, Japan Meteorological Agency, Tsukuba Ibaraki, Japan, Keiya Yumimoto, Kyushu University, Fukuoka, Japan and Takashi Maki, Meteorological Research Instit, Tsukuba, Japan
Data Compression to Improve the Computational Efficiency of Inverse Modeling with Large Satellite Datasets (437466)
Xiaoling Liu1, Arlyn Andrews2, He Chang1, Marikate Ellis Mountain3, Thomas Nehrkorn4, Jovan Tadić5, Michael Trudeau6 and Scot M Miller7, (1)Johns Hopkins University, Baltimore, MD, United States, (2)SilverLining, Washington, DC, United States, (3)Verisk Atmospheric and Environmental Research, Lexington, United States, (4)AER Inc, Lexington, MA, United States, (5)Lawrence Berkeley National Laboratory, Berkeley, CA, United States, (6)Cooperative Institute for Research in Environmental Sciences, Boulder, United States, (7)Johns Hopkins University, Environmental Health and Engineering, Baltimore, MD, United States
Exploiting Large-scale Aircraft Measurements to Evaluate and Constrain Vertical Profiles and Speciation in Aerosol Forecasting and Analysis (392832)
Zak Kipling1, Mark Parrington1, Luke Jones1, Melanie Ades1, Johannes Flemming2, Antje Inness1, Samuel Remy3, Vincent Huijnen4, Anna Agusti-panareda1, Jerome Barre1, Richard J Engelen1, Jose L Jimenez5, Pedro Campuzano-Jost6, Dr. Benjamin Nault, Ph.D.7, Dr. Joshua Peter Schwarz, PhD8, Joseph M Katich7,8, Paul O Wennberg9, John D Crounse10 and The ATom Science Team, (1)European Centre for Medium-Range Weather Forecasts, Reading, United Kingdom, (2)European Centre for Medium-Range Weather Forecasts, Reading, RG2 9AX UK, Reading, United Kingdom, (3)CNRS, Paris Cedex 16, France, (4)Royal Netherlands Meteorological Institute, De Bilt, Netherlands, (5)Cooperative Institute for Research in Environmental Sciences (CIRES) and Department of Chemistry, Boulder, United States, (6)University of Colorado Boulder, Department of Chemistry and Cooperative Institute for Research in Environmental Sciences, Boulder, United States, (7)Cooperative Institute for Research in Environmental Sciences, Boulder, CO, United States, (8)NOAA Earth System Research Laboratory, Chemical Sciences Division, Boulder, CO, United States, (9)California Institute of Technology, Division of Geological and Planetary Sciences, Pasadena, United States, (10)California Institute of Technology, Pasadena, CA, United States
Point Source CO2 Emission Estimation through Synthesis Inversion of OCO-2 XCO2 (409565)
Tao Zheng, Central Michigan University, Mount Pleasant, MI, United States
A Regional Inversion Framework to Estimate Urban Fluxes (434825)
Kimberly L Mueller1, Sharon Gourdji2, Israel Lopez-Coto3, Anna Karion1, Subhomoy Ghosh2 and James R Whetstone2, (1)National Institute of Standards and Technology, Gaithersburg, United States, (2)National Institute of Standards and Technology Gaithersburg, Gaithersburg, MD, United States, (3)Stony Brook University, School of Marine and Atmospheric Sciences, Stony Brook, United States
Construction of Black Carbon emission inverse system for east Asia (387653)
Takashi Maki1, Taichu Y Tanaka1, Naga Oshima1, Tsuyoshi Thomas Sekiyama1, Keiichi Kondo1, Jun-ichi Kurokawa2, Keiya Yumimoto3 and Toshimasa Ohara4, (1)Meteorological Research Institute, Ibaraki, Japan, (2)ACAP Asia Center for Air Pollution Research, Niigata, Japan, (3)Kyushu University, Fukuoka, Japan, (4)NIES, Tsukuba, Japan
Chemical Weather Forecast: Online Inclusion of Chemical Component into NOAA’s Next Generation Global Prediction System (NGGPS) (411943)
Li Zhang1, Georg A Grell2, Raffaele Montuoro3, Stuart A McKeen4, Ravan Ahmadov5, Cecelia DeLuca3, Judy Henderson6, Jun Wang7 and Brian Jamison8, (1)CU Boulder/CIRES, Boulder, United States, (2)NOAA Global Systems Laboratory, Boulder, CO, United States, (3)CIRES, University of Colorado Boulder, Boulder, CO, United States, (4)NOAA ESRL/CSL and CU Boulder/CIRES, Boulder, CO, United States, (5)NOAA Global Systems Laboratory, Boulder, United States, (6)NOAA, OAR/GSL, Boulder, United States, (7)NOAA/NWS/NCEP/EMC, College Park, MD, United States, (8)University of Miami, Coral Gables, FL, United States
Development of ozone climatology in KIM (Korean Integrated Model) using MLS data (457581)
Gill-Ran Jeong, George Mason University - NOAA ARL, College Park, United States, Song Hyo-Jong, Rolla, MO, United States and Jerald R Ziemke, Science Systems and Applications, Inc. Hampton, Lanham, United States
Improving PM2.5 Forecasts over China by Joint Emissions Inversion of PM2.5 and Aerosol Precursors with EnKF (378119)
Shuzhuang Feng1, Fei Jiang1, Zheng Wu2 and Hengmao Wang1, (1)Nanjing University, Nanjing, China, (2)Chongqing Institute of Meteorological Sciences, Chongqing, China
Simultaneous Data Assimilation of Atmospheric Tracer Concentration and Meteorological Variables (350735)
Tsuyoshi Thomas Sekiyama, Meteorological Research Institute, Ibaraki, Japan and Mizuo Kajino, Meteorological Research Institute, Japan Meteorological Agency, Tsukuba, Japan
Numerical approach to the estimation of optimum meteorological data assimilation intensity to improve accuracy of PM forecasting over the Korean peninsula (365682)
Soonhwan Lee, Pusan National University, Department of Earth Science Education, Busan, South Korea and Kangyeol Lee, Pusan National University, Department of Atmospheric Environment Science, Busan, South Korea
Topological Data Analysis of the NASA ATom-1 Data (436658)
Katie Kitzinger, Cade Francour, Deanna Donohoue and Scott Corry, Lawrence University, Appleton, WI, United States
Towards a Chemical Inverse Modeling System Experiment: First Results on CO Inter-comparison (433209)
Avelino F Arellano Jr, University of Arizona, Department of Hydrology and Atmospheric Sciences, Tucson, AZ, United States, Benjamin Gaubert, National Center for Atmospheric Research (NCAR), Atmospheric Chemistry Observations & Modeling Laboratory (ACOM), Boulder,CO, United States, Kazuyuki Miyazaki, Jet Propulsion Laboratory, California Institute of Technology, Pasadena, United States, Antje Inness, European Centre for Medium-Range Weather Forecasts, Reading, United Kingdom, Zhe Jiang, University of Science and Technology of China, School of Earth and Space Sciences, Hefei, China, Yi Yin, California Institute of Technology, Pasadena, CA, United States and Johannes Flemming, European Centre for Medium-Range Weather Forecasts, Reading, RG2 9AX UK, Reading, United Kingdom
Carbon monoxide budget during KORUS-AQ, first joint assimilation of NUCAPS CrIS and MOPITT CO retrievals (437456)
Benjamin Gaubert1, Kevin Raeder2, Antonia Gambacorta3, Louisa K Emmons4, Nancy Collins5, Jeffrey L Anderson6, Simone Tilmes7, Wenfu Tang8, Avelino F Arellano Jr9, Helen Marie Worden10, David P Edwards8, Kazuyuki Miyazaki11 and Rebecca R Buchholz12, (1)National Center for Atmospheric Research (NCAR), Atmospheric Chemistry Observations & Modeling Laboratory (ACOM), Boulder,CO, United States, (2)National Center for Atmospheric Research, Boulder, CO, United States, (3)Science and Technology Corporation (STC), IMSG - NOAA/NESDIS/STAR, Columbia, MD, United States, (4)NSF National Center for Atmospheric Research (NSF NCAR), Atmospheric Chemistry Observations & Modeling Laboratory (ACOM), Boulder, United States, (5)NCAR, Boulder, CO, United States, (6)NCAR, Boulder, United States, (7)NSF National Center for Atmospheric Research, Atmospheric Chemistry Observations and Modeling Laboratory, Boulder, United States, (8)National Center for Atmospheric Research, Atmospheric Chemistry Observations & Modeling Laboratory, Boulder, CO, United States, (9)University of Arizona, Department of Hydrology and Atmospheric Sciences, Tucson, AZ, United States, (10)NSF National Center for Atmospheric Research (NSF NCAR), Atmospheric Chemistry Observations & Modeling Laboratory (ACOM), Boulder, CO, United States, (11)Jet Propulsion Laboratory, California Institute of Technology, Pasadena, United States, (12)National Center for Atmospheric Research, Atmospheric Chemistry Observations & Modeling Laboratory, Boulder, United States
ReFRACtor: Reusable Software Framework for Retrieval of Satellite Atmospheric Composition (394495)
James McDuffie1, Kevin W Bowman2, Jonathan Hobbs3, Vijay Natraj4, Sebastian Val2, Edwin Sarkissian4 and Matthew D Thill4, (1)NASA Jet Propulsion Laboratory, Pasadena, CA, United States, (2)NASA Jet Propulsion Laboratory, Pasadena, United States, (3)Jet Propulsion Laboratory, Pasadena, CA, United States, (4)Jet Propulsion Laboratory, California Institute of Technology, Pasadena, United States

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