A23P:
Understanding, Evaluating, and Improving Emissions through Atmospheric Observations II

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Session ID#: 16492

Session Description:
Emissions quantification based on atmospheric observations is critical for understanding the atmosphere, quantifying emission impacts (e.g., IPCC, CMIP, CCMI), and verifying agreements on pollution (e.g., COP21). This session focuses on observations-based approaches to quantify and assess emissions of ozone and aerosol precursors and climate forcing agents from anthropogenic, biogenic, wildfire, and dust sources at different spatial and temporal scales. The following topics are particularly encouraged: using top-down observational constraints to evaluate and improve bottom-up inventories; understanding natural and anthropogenic drivers of temporal variations in emissions; extending emissions estimates to finer temporal and spatial scales; and quantifying uncertainties in emissions inventories.
Primary Convener:  Gregory J Frost, NOAA Chemical Sciences Laboratory, Boulder, United States
Conveners:  Monika Kopacz, NOAA, Climate Program Office, Silver Spring, MD, United States; University Corporation for Atmospheric Research, Boulder, CO, United States and Yuxuan Wang, Texas A & M University, College Station, TX, United States; University of Houston, Department of Earth and Atmospheric Sciences, Houston, United States
Chairs:  Gregory J Frost, NOAA Chemical Sciences Laboratory, Boulder, United States and Yuxuan Wang, Texas A & M University, College Station, TX, United States; University of Houston, Department of Earth and Atmospheric Sciences, Houston, United States
OSPA Liaison:  Gregory J Frost, NOAA Chemical Sciences Laboratory, Boulder, United States

Cross-Listed:
  • B - Biogeosciences
  • GC - Global Environmental Change
Index Terms:

0322 Constituent sources and sinks [ATMOSPHERIC COMPOSITION AND STRUCTURE]
0345 Pollution: urban and regional [ATMOSPHERIC COMPOSITION AND STRUCTURE]
0365 Troposphere: composition and chemistry [ATMOSPHERIC COMPOSITION AND STRUCTURE]
0478 Pollution: urban, regional and global [BIOGEOSCIENCES]

Abstracts Submitted to this Session:

Optimal Estimation of Sulfuryl Fluoride Emissions on Regional and Global Scales Using Advanced 3D Inverse Modeling and AGAGE Observations (Invited) (160515)
Alicia Gressent1, Jens Muhle2, Matthew L Rigby3, Mark F Lunt4, Anita Ganesan4, Ronald G Prinn5, Paul B Krummel6, Paul J. Fraser7, Paul Steele6, Ray F Weiss2, Christina M Harth8, Simon O'Doherty3, Dickon Young3, Sunyoung Park9, Shanlan Li10, Bo Yao11, Stefan Reimann12, Martin K Vollmer13, Michela Maione14, Igor Arduini14 and Chris R Lunder15, (1)Massachusetts Institute of Technology, Center for Global Change Science, Cambridge, MA, United States, (2)Scripps Institution of Oceanography, La Jolla, CA, United States, (3)University of Bristol, School of Chemistry, Bristol, United Kingdom, (4)University of Bristol, Bristol, United Kingdom, (5)Massachusetts Institute of Technology, Center for Sustainability Science and Strategy, Cambridge, United States, (6)CSIRO, Aspendale, Australia, (7)CSIRO, Oceans and Atmosphere, Aspendale, Victoria, Australia, (8)University of California San Diego, Scripps Institution of Oceanography, La Jolla, CA, United States, (9)Kyungpook National University, Daegu, South Korea, (10)Seoul National University, Seoul, Korea, Republic of (South), (11)CAMS Chinese Academy of Meteorological Sciences, Beijing, China, (12)Empa, Swiss Federal Laboratories for Materials Science and Technology, Duebendorf, Switzerland, (13)Empa, Duebendorf, Switzerland, (14)University of Urbino, Urbino, Italy, (15)Norwegian Institute for Air Research, Kjeller, Norway
Using mobile laboratory and aircraft measurements to characterize feedlot emissions and their contribution to atmospheric methane over the Denver-Julesburg Basin (185586)
Scott Joseph Eilerman, Cooperative Institute for Research in Environmental Sciences, University of Colorado Boulder, Boulder, CO, United States, Jeff Peischl, Cooperative Institute for Research in Environmental Sciences, Boulder, United States, J A Neuman, Cooperative Institute for Research in Environmental Sciences (CIRES), Boulder, United States; NOAA ESRL, Chemical Sciences Laboratory, Boulder, CO, United States, Kenneth C. Aikin, NOAA/ESRL/Chemical Sciences Division, Boulder, CO, United States, Michael Trainer, NOAA Boulder, Boulder, CO, United States and Thomas B Ryerson, NOAA ESRL Chemical Sciences Division, Tropospheric Chemistry Program, Boulder, CO, United States
Emissions of Volatile Organic Compounds (VOCs) from Animal Husbandry: Chemical Compositions, Separation of Sources and Animal Types (166374)
Bin Yuan1, Matthew Mitchell Coggon2, Abigail Koss3, Carsten Warneke1, Scott Joseph Eilerman4, J A Neuman5, Jeff Peischl6, Kenneth C. Aikin7, Thomas B Ryerson8 and Joost A de Gouw9, (1)NOAA Boulder, Boulder, CO, United States, (2)CIRES and NOAA Chemical Science Laboratory, Boulder, United States, (3)University of Colorado at Boulder, Boulder, CO, United States, (4)Cooperative Institute for Research in Environmental Sciences, University of Colorado Boulder, Boulder, CO, United States, (5)CIRES, Boulder, CO, United States, (6)Cooperative Institute for Research in Environmental Sciences, Boulder, United States, (7)NOAA, Earth System Research Laboratory, Boulder, CO, United States, (8)NOAA ESRL Chemical Sciences Division, Tropospheric Chemistry Program, Boulder, CO, United States, (9)University of Colorado Boulder - CIRES, Boulder, United States
Space-based constraints on global and Chinese non-methane volatile organic compound emissions: exploring the sources of uncertainties (Invited) (121499)
Tzung-May Fu1, Hansen Cao2, Lin Zhang1, Daven K Henze3, Christophe Lerot4, Christopher E Miller5 and Yuanhong Zhao1, (1)Peking University, Department of Atmospheric and Oceanic Sciences, Beijing, China, (2)Peking University, Beijing, China, (3)University of Colorado Boulder, Boulder, United States, (4)Royal Belgian Institute for Space Aeronomy, Brussels, Belgium, (5)Harvard University, Harvard John A. Paulson School of Engineering and Applied Sciences, Cambridge, United States
Linkages between land surface modeling and bottom-up/top-down biogenic emission estimates: implications for synergic use of satellite land and atmospheric composition data (176601)
Min Huang1, Gregory R Carmichael2, Alessio D'Allura3, James H Crawford4, Armin Wisthaler5, Pius Lee6, Christopher Hain7, Li Fang8, Bradley Zavodsky7 and Jonathan Case9, (1)George Mason University/U of Maryland/NOAA, College Park, United States, (2)University of Iowa, Department of Chemical and Biochemical Engineering, Iowa City, United States, (3)ARIANET, Milano, Italy, (4)NASA Langley Research Center, Hampton, VA, United States, (5)University of Oslo, Department of Chemistry, Oslo, Norway, (6)NOAA Pacific Grove, Pacific Grove, CA, United States, (7)NASA Marshall Space Flight Center, Huntsville, AL, United States, (8)NOAA, Boulder, CO, United States, (9)ENSCO, Inc./NASA Marshall Space Flight Center, Huntsville, AL, United States
Analysis of NMHC trends over North America and the Pacific Ocean using 2.5 decades of aircraft data (148024)
Julie M Nicely, NASA Goddard Space Flight Center, Greenbelt, United States, Qing Liang, NASA Goddard Space Flight Center, Atmospheric Chemistry and Dynamics Laboratory, Greenbelt, United States, Thomas F Hanisco, NASA Goddard Space Flight Center, Greenbelt, MD, United States, Elliot L Atlas, University of Miami, Miami, United States and Donald Ray Blake, University of California Irvine, Department of Chemistry, Irvine, United States
Are the CCMI Emission Trends Consistent with MOPITT CO Observations? (131827)
Sarah A Strode, Universities Space Research Association Greenbelt, Greenbelt, MD, United States, Helen Marie Worden, NSF National Center for Atmospheric Research (NSF NCAR), Atmospheric Chemistry Observations & Modeling Laboratory (ACOM), Boulder, CO, United States and Susan Elaine Strahan, NASA Goddard Space Flight Center, Greenbelt, United States

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