Local and regional enhancements of CH <sub>4</sub> , CO, and CO <sub>2</sub> inferred from TCCON column measurements

Abstract. In this study, we demonstrate the utility of available correlative measurements of carbon species to identify regional and local air mass characteristics as well as their associated source types. In particular, we combine different regression techniques and enhancement ratio algorithms with carbon monoxide (CO), carbon dioxide (CO2), and methane (CH4) total column abundance from 11 sites of the Total Carbon Column Observing Network (TCCON) to infer relative contributions of regional and local sources to each of these sites. The enhancement ratios provide a viable alternative to univariate measures of relationships between the trace gases that are insufficient in capturing source-type and transport signatures. Regional enhancements are estimated from the difference between bivariate regressions across a specific time window of observed total abundance of these species (BERr for bulk enhancement regression ratio) and inferred anomalies (AERr for anomaly enhancement regression ratio) associated with a site-specific background. Since BERr and AERr represent the bulk and local species enhancement ratio, respectively, its difference simply represents the site-specific regional component of these ratios. We can then compare these enhancements for CO2 and CH4 with CO to differentiate between combustion and non-combustion air masses. Our results show that while the regional and local influences in enhancements vary across sites, dominant characteristics are found to be consistent with previous studies over these sites and with bottom-up anthropogenic and fire emission inventories. The site in Pasadena shows a dominant local influence (&gt; 60 %) across all species enhancement ratios, which appear to come from a mixture of biospheric and combustion activities. In contrast, Anmyeondo shows more regionally influenced (&gt; 60 %) air masses associated with high-temperature and/or biofuel combustion activities. Ascension Island appears to only show a large regional influence (&gt; 80 %) on CO / CO2 and CO / CH4, which is indicative of transported and combustion-related CO from the nearby African region, consistent with a sharp rise in column CO (3.51 ± 0.43 % ppb yr−1) at this site. These methods have important applications to source analysis using spaceborne column retrievals of these species.

Authors

Institutions

Publication Details

Journal
Atmospheric measurement techniques
Published
2024-10-07
DOI
https://doi.org/10.5194/amt-17-5861-2024
Citations
2
Primary Topic
Atmospheric and Environmental Gas Dynamics
Type
article
Field-Weighted Citation Impact
0.57

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Local and regional enhancements of CH 4 , CO, and CO 2 inferred from TCCON column measurements

Wenfu Tang, Nicholas M. Deutscher, Kavitha Mottungan, Tae‐Young Goo et al.
2 citations
Atmospheric measurement techniques
Atmospheric and Environmental Gas Dynamics
0.57
article

Local and regional enhancements of CH 4 , CO, and CO 2 inferred from TCCON column measurements

Wenfu Tang, Nicholas M. Deutscher, Kavitha Mottungan, Tae‐Young Goo, Avelino F. Arellano, Voltaire A. Velazco, Chayan Roychoudhury, Dietrich G. Feist, Rigel Kivi, Mahesh Kumar Sha, Vanessa Brocchi, Paul O. Wennberg, David Griffith, Mohammad Amin Mirrezaei, Ralf Sussmann, Isamu Morino, Benjamin Gaubert, Martine De Mazière, Wei Wang, Yafang Guo, Manvendra K. Dubey, J. J. McKinnon
article en
2 citations

Abstract

Abstract. In this study, we demonstrate the utility of available correlative measurements of carbon species to identify regional and local air mass characteristics as well as their associated source types. In particular, we combine different regression techniques and enhancement ratio algorithms with carbon monoxide (CO), carbon dioxide (CO2), and methane (CH4) total column abundance from 11 sites of the Total Carbon Column Observing Network (TCCON) to infer relative contributions of regional and local sources to each of these sites. The enhancement ratios provide a viable alternative to univariate measures of relationships between the trace gases that are insufficient in capturing source-type and transport signatures. Regional enhancements are estimated from the difference between bivariate regressions across a specific time window of observed total abundance of these species (BERr for bulk enhancement regression ratio) and inferred anomalies (AERr for anomaly enhancement regression ratio) associated with a site-specific background. Since BERr and AERr represent the bulk and local species enhancement ratio, respectively, its difference simply represents the site-specific regional component of these ratios. We can then compare these enhancements for CO2 and CH4 with CO to differentiate between combustion and non-combustion air masses. Our results show that while the regional and local influences in enhancements vary across sites, dominant characteristics are found to be consistent with previous studies over these sites and with bottom-up anthropogenic and fire emission inventories. The site in Pasadena shows a dominant local influence (&gt; 60 %) across all species enhancement ratios, which appear to come from a mixture of biospheric and combustion activities. In contrast, Anmyeondo shows more regionally influenced (&gt; 60 %) air masses associated with high-temperature and/or biofuel combustion activities. Ascension Island appears to only show a large regional influence (&gt; 80 %) on CO / CO2 and CO / CH4, which is indicative of transported and combustion-related CO from the nearby African region, consistent with a sharp rise in column CO (3.51 ± 0.43 % ppb yr−1) at this site. These methods have important applications to source analysis using spaceborne column retrievals of these species.

Atmospheric measurement techniquesVol. 17(19)
Karlsruhe Institute of Technology (DE), NSF National Center for Atmospheric Research (US), California Institute of Technology (US), Finnish Meteorological Institute (FI), Los Alamos National Laboratory (US), National Physical Laboratory (GB), University of Arizona (US), Deutscher Wetterdienst (DE), Royal Belgian Institute for Space Aeronomy (BE), National Institute for Environmental Studies (JP), University of Wollongong (AU), Deutsches Zentrum für Luft- und Raumfahrt e. V. (DLR) (DE), Anhui Institute of Optics and Fine Mechanics (CN), Max Planck Institute for Biogeochemistry (DE), National Institute of Meteorological Sciences (KR), Ludwig-Maximilians-Universität München (DE)
National Science Foundation, National Aeronautics and Space Administration, Global Foundation for Eating Disorders, European Space Agency, Nuclear Safety and Security Commission, Bundesministerium für Wirtschaft und Energie, Université de La Réunion
Openalex Percentile: Top 33%
Atmospheric and Environmental Gas Dynamics
0.57
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.