A new analysis of satellite data finds that the record surge in atmospheric methane emissions from 2020 to 2022 was driven by increased inundation and water storage in wetlands, combined with a slight decrease in atmospheric hydroxide (OH). The results have implications for efforts to decrease atmospheric methane and mitigate its impact on climate change.<\/p>\n\n\n\n

\u201cFrom 2010 to 2019, we saw regular increases \u2013 with slight accelerations \u2013 in atmospheric methane concentrations, but the increases that occurred from 2020 to 2022 and overlapped with the COVID-19 shutdown were significantly higher,\u201d says Zhen Qu<\/a>, assistant professor of marine, earth and atmospheric sciences at North Carolina State University and lead author of the research. \u201cGlobal methane emissions increased from about 499 teragrams (Tg) to 550 Tg during the period from 2010 to 2019, followed by a surge to 570 \u2013 590 Tg between 2020 and 2022.\u201d<\/p>\n\n\n\n

Atmospheric methane emissions are given by their mass in teragrams. One teragram equals about 1.1 million U.S. tons.<\/p>\n\n\n\n

One of the leading theories concerning the sudden atmospheric methane surge was the decrease in manmade air pollution from automobiles and industry during the pandemic shutdown of 2020 and 2021. Air pollution contributes hydroxyl radicals (OH) to the lower atmosphere. In turn, atmospheric OH interacts with other gases, such as methane, to break them down.<\/p>\n\n\n\n

\u201cThe prevailing idea was that the pandemic reduced the amount of OH concentration, therefore there was less OH available in the atmosphere to react with and remove methane,\u201d Qu says.<\/p>\n\n\n\n

To test the theory, Qu and a team of researchers from the U.S., U.K. and Germany looked at global satellite emissions data and atmospheric simulations for both methane and OH during the period from 2010 to 2019 and compared it to the same data from 2020 to 2022 to tease out the source of the surge.<\/p>\n\n\n\n

Using data from satellite readings of atmospheric composition and chemical transport models, the researchers created a model that allowed them to determine both amounts and sources of methane and OH for both time periods.<\/p>\n\n\n\n

They found that most of the 2020 to 2022 methane surge was a result of inundation events \u2013 or flooding events \u2013 in equatorial Asia and Africa, which accounted for 43% and 30% of the additional atmospheric methane, respectively. While OH levels did decrease during the period, this decrease only accounted for 28% of the surge.<\/p>\n\n\n\n

\u201cThe heavy precipitation in these wetland and rice cultivation regions is likely associated with the La Ni\u00f1a conditions from 2020 to early 2023,\u201d Qu says. \u201cMicrobes in wetlands produce methane as they metabolize and break down organic matter anaerobically, or without oxygen. More water storage in wetlands means more anaerobic microbial activity and more release of methane to the atmosphere.\u201d<\/p>\n\n\n\n

The researchers feel that a better understanding of wetland emissions is important to developing plans for mitigation.<\/p>\n\n\n\n

\u201cOur findings point to the wet tropics as the driving force behind increased methane concentrations since 2010,\u201d Qu says. \u201cImproved observations of wetland methane emissions and how methane production responds to precipitation changes are key to understanding the role of precipitation patterns on tropical wetland ecosystems.\u201d<\/p>\n\n\n\n

The research appears in the Proceedings of the National Academy of Sciences<\/a><\/em> and was supported in part by NASA Early Career Investigator Program under grant 80NSSC24K1049. Qu is the corresponding author and began the research while a postdoctoral researcher at Harvard University. Daniel Jacob of Harvard; Anthony Bloom and John Worden of the California Institute of Technology\u2019s Jet Propulsion Laboratory; Robert Parker of the University of Leicester, U.K.; and Hartmut Boesch of the University of Bremen, Germany, also contributed to the work.<\/p>\n\n\n\n

This article was\u00a0originally published<\/a>\u00a0in NC State News.<\/em><\/p>\n","protected":false,"raw":"\n\n\n\n\n

A new analysis of satellite data finds that the record surge in atmospheric methane emissions from 2020 to 2022 was driven by increased inundation and water storage in wetlands, combined with a slight decrease in atmospheric hydroxide (OH). The results have implications for efforts to decrease atmospheric methane and mitigate its impact on climate change.<\/p>\n\n\n\n

\u201cFrom 2010 to 2019, we saw regular increases \u2013 with slight accelerations \u2013 in atmospheric methane concentrations, but the increases that occurred from 2020 to 2022 and overlapped with the COVID-19 shutdown were significantly higher,\u201d says Zhen Qu<\/a>, assistant professor of marine, earth and atmospheric sciences at North Carolina State University and lead author of the research. \u201cGlobal methane emissions increased from about 499 teragrams (Tg) to 550 Tg during the period from 2010 to 2019, followed by a surge to 570 \u2013 590 Tg between 2020 and 2022.\u201d<\/p>\n\n\n\n

Atmospheric methane emissions are given by their mass in teragrams. One teragram equals about 1.1 million U.S. tons.<\/p>\n\n\n\n

One of the leading theories concerning the sudden atmospheric methane surge was the decrease in manmade air pollution from automobiles and industry during the pandemic shutdown of 2020 and 2021. Air pollution contributes hydroxyl radicals (OH) to the lower atmosphere. In turn, atmospheric OH interacts with other gases, such as methane, to break them down.<\/p>\n\n\n\n

\u201cThe prevailing idea was that the pandemic reduced the amount of OH concentration, therefore there was less OH available in the atmosphere to react with and remove methane,\u201d Qu says.<\/p>\n\n\n\n

To test the theory, Qu and a team of researchers from the U.S., U.K. and Germany looked at global satellite emissions data and atmospheric simulations for both methane and OH during the period from 2010 to 2019 and compared it to the same data from 2020 to 2022 to tease out the source of the surge.<\/p>\n\n\n\n

Using data from satellite readings of atmospheric composition and chemical transport models, the researchers created a model that allowed them to determine both amounts and sources of methane and OH for both time periods.<\/p>\n\n\n\n

They found that most of the 2020 to 2022 methane surge was a result of inundation events \u2013 or flooding events \u2013 in equatorial Asia and Africa, which accounted for 43% and 30% of the additional atmospheric methane, respectively. While OH levels did decrease during the period, this decrease only accounted for 28% of the surge.<\/p>\n\n\n\n

\u201cThe heavy precipitation in these wetland and rice cultivation regions is likely associated with the La Ni\u00f1a conditions from 2020 to early 2023,\u201d Qu says. \u201cMicrobes in wetlands produce methane as they metabolize and break down organic matter anaerobically, or without oxygen. More water storage in wetlands means more anaerobic microbial activity and more release of methane to the atmosphere.\u201d<\/p>\n\n\n\n

The researchers feel that a better understanding of wetland emissions is important to developing plans for mitigation.<\/p>\n\n\n\n

\u201cOur findings point to the wet tropics as the driving force behind increased methane concentrations since 2010,\u201d Qu says. \u201cImproved observations of wetland methane emissions and how methane production responds to precipitation changes are key to understanding the role of precipitation patterns on tropical wetland ecosystems.\u201d<\/p>\n\n\n\n

The research appears in the Proceedings of the National Academy of Sciences<\/a><\/em> and was supported in part by NASA Early Career Investigator Program under grant 80NSSC24K1049. Qu is the corresponding author and began the research while a postdoctoral researcher at Harvard University. Daniel Jacob of Harvard; Anthony Bloom and John Worden of the California Institute of Technology\u2019s Jet Propulsion Laboratory; Robert Parker of the University of Leicester, U.K.; and Hartmut Boesch of the University of Bremen, Germany, also contributed to the work.<\/p>\n\n\n\n

This article was\u00a0originally published<\/a>\u00a0in NC State News.<\/em><\/p>\n"},"excerpt":{"rendered":"

Research led by Center Faculty Fellow Zhen Qu shows that flooded wetlands, not decreased pollution, were key drivers of atmospheric methane increases during the pandemic.<\/p>\n","protected":false},"author":152,"featured_media":22727,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"source":"","ncst_custom_author":"","ncst_show_custom_author":false,"ncst_dynamicHeaderBlockName":"ncst\/default-post-header","ncst_dynamicHeaderData":"{\"showAuthor\":false,\"showDate\":true,\"showFeaturedVideo\":false,\"caption\":\"Hunt Library under parting clouds and blue skies. Photo by Becky Kirkland.\",\"displayCategoryID\":7}","ncst_content_audit_freq":"","ncst_content_audit_date":"","ncst_content_audit_display":false,"ncst_backToTopFlag":"","footnotes":"","_links_to":"","_links_to_target":""},"categories":[7,8,13],"tags":[],"class_list":["post-22726","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-faculty-and-staff","category-new-publications","category-new-research"],"displayCategory":{"term_id":7,"name":"Faculty and Staff","slug":"faculty-and-staff","term_group":0,"term_taxonomy_id":7,"taxonomy":"category","description":"","parent":0,"count":146,"filter":"raw"},"acf":[],"_links":{"self":[{"href":"https:\/\/cnr.ncsu.edu\/geospatial\/wp-json\/wp\/v2\/posts\/22726","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/cnr.ncsu.edu\/geospatial\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/cnr.ncsu.edu\/geospatial\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/cnr.ncsu.edu\/geospatial\/wp-json\/wp\/v2\/users\/152"}],"replies":[{"embeddable":true,"href":"https:\/\/cnr.ncsu.edu\/geospatial\/wp-json\/wp\/v2\/comments?post=22726"}],"version-history":[{"count":3,"href":"https:\/\/cnr.ncsu.edu\/geospatial\/wp-json\/wp\/v2\/posts\/22726\/revisions"}],"predecessor-version":[{"id":22730,"href":"https:\/\/cnr.ncsu.edu\/geospatial\/wp-json\/wp\/v2\/posts\/22726\/revisions\/22730"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/cnr.ncsu.edu\/geospatial\/wp-json\/wp\/v2\/media\/22727"}],"wp:attachment":[{"href":"https:\/\/cnr.ncsu.edu\/geospatial\/wp-json\/wp\/v2\/media?parent=22726"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/cnr.ncsu.edu\/geospatial\/wp-json\/wp\/v2\/categories?post=22726"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/cnr.ncsu.edu\/geospatial\/wp-json\/wp\/v2\/tags?post=22726"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}