Greenhouse Gases Posters

Monday, 13 January 2025: 3:00 PM-4:30 PM
Hall C (New Orleans Ernest N. Morial Convention Center)
Host: 27th Conference on Atmospheric Chemistry
Organizer:
Cochairs:
Sean Crowell, University of Oklahoma, School of Meteorology, Norman, OK; Annmarie Eldering, National Institute of Standards and Technology, Gaithersburg, MD and Berrien Moore III, University of Oklahoma Norman Campus, Atmospheric and Geographic Sciences, Norman, OK

Over the last decade, significant advances have been made in both in situ and remote sensing technologies for measuring greenhouse gases (GHGs). The launch of global observing systems (such as GOSAT, GOSAT-2, OCO-2, OCO-3, TROPOMI, EMIT, GHGSat, MethaneSAT) as well as deployment of localized surface networks and aircraft field campaigns is starting to yield more information on natural and anthropogenic sources than ever before. While these multiple observational platforms provide a significant potential for the monitoring of GHG emissions, uncertainties still remain in our understanding of the global and regional budgets of GHGs, errors due to deficiency in atmospheric transport modeling, and identification and quantification of carbon - climate feedback sensitivities. This session solicits abstracts that provide new insights on understanding GHG dynamics at various spatial (local to global) and temporal (sub-diurnal to decadal) scales. We encourage contributions on: (a) current and prospective GHG observational studies that inform both the nature and impact of errors in transport due to convection and large-scale mixing, (b) modeling studies to quantify budgets and/or uncertainties in GHG flux estimates from local/urban to regional and global scales, and (c) evaluation and benchmarking of GHG estimates from Earth System Models using contemporary observations. Submissions that quantify GHG emissions at the urban scale or explore policy issues related to GHG monitoring and regulation or capture how the current science is informing policy decisions and the Global Stocktake (UNFCCC) process are highly encouraged.

Papers:
90
Different Approaches to Estimate Methane Emissions from Several Landfills in New York State
Alexandra M. Catena, SUNY, Albany, NY; and J. Zhang, L. T. Murray, E. Leibensperger, R. Commane, J. Schwab, M. Smith, A. Hallward-Driemeier, M. Loman, J. Marto, and J. Schwab

91
Linking Forest Biomass and Carbon Flux Using a Machine Learning Model of Aircraft Fluxes and Forest Canopy Structure
Reem Aida Hannun, ARC, Moffett Field, CA; and K. Blanock, G. M. Wolfe, S. R. Kawa, Q. Shen, L. Ma, and G. C. Hurtt

92
Mobile CH4 Measurement and Inversion & An Interactive Visualization Platform
Qingyu Wang, Univ. of Oklahoma, Norman, OK; and X. M. Hu, W. T. Honeycutt, C. Wang, B. Weng, and M. Xue

93
Top-Down Estimates of Regional Carbon Fluxes over East Asia for 2010-2020 Using Satellite Observations
MINA KIM, Seoul National University, Seoul, Korea, Republic of (South); Seoul National University, Seoul, Seoul, South korea; and R. J. Park

94
Inferring High-Resolution Global Methane Emissions and OH Concentrations using Blended TROPOMI+GOSAT Observations from 2019 to Present
Megan He, Harvard University, Cambridge, MA; and D. J. Jacob, L. A. Estrada, D. Varon, M. P. Sulprizio, J. D. East, N. Balasus, Z. Chen, T. Mooring, S. E. Hancock, J. Maasakkers, K. Bowman, and L. M. Bruhwiler

Handout (1.7 MB)

95
Becoming a Climate-Ready Nation: Interagency Collaboration to Advance Greenhouse Gas Observations, Understanding, and Applications
Yishen Li, U.S. Global Change Research Program, Washington, DC; and A. Connor, A. Miller, D. Stanitski, B. L. Lefer, C. Sweeney, L. Lorenzoni, and R. Aniekwu

96
Development of a Prototype EnKF-WRF-CH4 Inverse Modeling System for Reginal to Local Methane Emission Retrieval
Chengsi Liu, Center for Analysis and Prediction of Storms, Univ. of Oklahoma, Norman, OK; and M. Xue, X. M. Hu, R. Kong, and B. Weng

97
Sampling Biases of Space-Based Observations of XCO2 Associated with South American Biomass Burning Events
Thomas Joseph Hearty III, GES DISC, Cabin John, MD; and K. Morgan and A. Savtchenko, PhD, NASA/GSFC/ADNET

Handout (1.4 MB)

98
Characterization of Aeris MIRA Ultra CH4/C2H6 and CO/N2O Gas Analyzers
Nathanael Philip Ribar, University of Wyoming, Laramie, WY; and E. Beamesderfer, V. Wright, J. P. DiGangi, G. Diskin, Y. Choi, and D. A. Caulton

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- Indicates an Award Winner