A54G:
Understanding and Attributing Greenhouse Gas Fluxes from Urban Systems and Major Hot Spots IV


Submit an Abstract to this Session


Session ID#: 58644

Session Description:
A major issue in quantifying and attributing fluxes of greenhouse gases from urban areas and other hot-spots (e.g., oil and gas exploration) is that of balancing bottom-up data products with atmospheric observations. While bottom-up data are critical for managing pollutant emissions, they are largely based on extrapolations of source supply (e.g., oil or coal), burning efficiency, laboratory studies, and scrubbing ability.  Estimates of greenhouse gas uptake by soils, plants, and surfaces are similarly based on extrapolations of laboratory and field studies. Conversely, top-down studies involving atmospheric observations and models can estimate mass balances without relying on bottom-up information, but require a considered approach involving monitoring of air composition and meteorology. In the end these two approaches need to match if we are to have confidence in emission estimates. This session invites papers that address challenges and successes in comparing these approaches, contrasting measurement methods, or synthesizing measurements and models.
Primary Convener:  Riley Duren, Jet Propulsion Laboratory, Pasadena, United States
Conveners:  Arvind P Ravikumar, University of Texas at Austin, Petroleum and Geosystems Engineering, Austin, TX, United States and Jacob Englander, Stanford Earth Sciences, Stanford, CA, United States
Primary Liaison:  Riley Duren, Jet Propulsion Laboratory, Pasadena, United States
Chairs:  Jacob Englander, Stanford Earth Sciences, Stanford, CA, United States and Arvind P Ravikumar, University of Texas at Austin, Petroleum and Geosystems Engineering, Austin, TX, United States
OSPA Liaison:  Adam R Brandt, Stanford University, Department of Energy Science and Engineering, Stanford, CA, United States
Index Terms:

0345 Pollution: urban and regional [ATMOSPHERIC COMPOSITION AND STRUCTURE]
0428 Carbon cycling [BIOGEOSCIENCES]
0478 Pollution: urban, regional and global [BIOGEOSCIENCES]
3394 Instruments and techniques [ATMOSPHERIC PROCESSES]

Abstracts Submitted to this Session:

Methane emissions from the natural gas value chain – a point of view of an LNG exporter (Invited) (420788)
Fiji George, Cheniere Energy, Inc., Houston, TX, United States, Chris Smith, Chenere Energy Inc., Washington DC, United States and Eben Burnham-Snyder, Cheniere Energy Inc., Houston, United States
California Baseline Methane Survey (395154)
Andrew K Thorpe1, Riley Duren2, Brian Bue3, Francesca Mia Hopkins4, Rafiq Talha5, Vineet Yadav3, Kelsey T Foster6, Nadia Kathryn Colombi7, Ian Mccubbin8, Winston Olson-Duvall9, David R Thompson10, Robert O Green3 and Charles E Miller11, (1)JPL/NASA/Caltech, Pasadena, CA, United States, (2)Jet Propulsion Laboratory, Pasadena, United States, (3)Jet Propulsion Laboratory, California Institute of Technology, Pasadena, United States, (4)University of California Riverside, Department of Environmental Sciences, Riverside, CA, United States, (5)University of California Riverside, Riverside, CA, United States, (6)Jet Propulsion Laboratory, Pasadena, CA, United States, (7)University of California Los Angeles, Institute of the Environment and Sustainability, Los Angeles, CA, United States, (8)JPL/NASA/Caltech, Pasadena, United States, (9)Jet Propulsion Laboratory, California Institute of Technology, Pasadena, CA, United States, (10)NASA Jet Propulsion Laboratory, California Institute of Technology, Pasadena, CA, United States, (11)California Institute of Technology, Jet Propulsion Laboratory, Pasadena, United States
A 12 city survey of urban natural gas leaks (448308)
Joseph C von Fischer, Colorado State Univ, Fort Collins, CO, United States and Zach Weller, GTI Energy, Digital Innovation, Fort Collins, United States
Aerially-guided leak detection and repair: A pilot field study for evaluating the potential of methane emission detection and cost-effectiveness (443677)
Stefan Schwietzke, CIRES, Boulder, CO, United States, Matthew R Harrison, AECOM, Austin, TX, United States, Terri Lauderdale, AECOM, Texas, United States, Ken Branson, Kairos Aerospace, Mountain View, CA, United States, Stephen A Conley, University of California Davis, Davis, CA, United States, Fiji George, Southwestern Energy, Spring, TX, UNITED STATES, Doug Jordan, Southwestern Energy, Spring, United States, Gilbert R Jersey, Retired, Exxon, PA, United States, Changyong Zhang, ExxonMobil Spring, Spring, TX, United States, Heide Mairs, ExxonMobil Houston, Houston, TX, United States, Gabrielle Petron, University of Colorado, Boulder, Cooperative Institute for Research in Environmental Sciences, Boulder, United States and Russell C Schnell, NOAA ESRL, Global Monitoring Division, Boulder, CO, United States
Testing the Next Generation of Leak Detection and Quantification Technologies (Invited) (400885)
Daniel Zimmerle1, Clay Bell1 and Timothy L Vaughn2, (1)Colorado State University, Energy Institute, Fort Collins, United States, (2)Colorado State University, Energy Institute, Fort Collins, CO, United States
Comparisons of Aerial and Ground-based Infrared Leak Detection Camera Surveys at Oil and Gas Wells (381623)
Trang Tran, Desert Research Institute Reno, Reno, NV, United States, Seth N Lyman, Utah State University, Bingham Research Center, Vernal, United States, Marc L Mansfield, Utah State University, Bingham Research Center, Logan, UT, United States and Arvind P Ravikumar, University of Texas at Austin, Petroleum and Geosystems Engineering, Austin, TX, United States
High-Resolution CH4 Enhancement Observations near Industrial Sites using the GHGSat-D Demonstration Satellite (437024)
Dylan Jervis1, Jason McKeever1, David Gains2, Daniel J. Varon3, Stephane Germain2, James J Sloan4 and Berke Durak5, (1)GHGSat, Inc., Montréal, QC, Canada, (2)GHGSat, Inc., Montreal, QC, Canada, (3)Harvard University, School of Engineering and Applied Sciences, Cambridge, United States, (4)University of Waterloo, Waterloo, ON, Canada, (5)GHGSat, Montreal, Canada
Integrated Photonic On-chip Sensor for Methane Fugitive Emissions Monitoring (386531)
Eric Zhang1, Yves Martin1, Chi Xiong1, Jason S Orcutt1, Martin Glodde1, Laurent Schares1, Tymon Barwicz1, Chu C Teng2, Gerard Wysocki3 and William Green1, (1)IBM Research USA, Yorktown Heights, NY, United States, (2)Princeton University, Electrical Engineering, Princeton, NJ, United States, (3)Princeton University, Electrical and Computer Engineering, Princeton, NJ, United States

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