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Revealing the global emission gaps for fully fluorinated greenhouse gases
In response to the global trend of climate change, it is important to accurately quantify emissions of fully fluorinated greenhouse gases (FFGHGs, referring to SF 6 /NF 3 /CF 4 /C 2 F 6 /C 3 F 8 / c -C 4 F 8 here). Atmospheric observation-based top-down methods and activity-based bottom-up methods a...
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Published in: | Scientific reports 2024-04, Vol.14 (1), p.8753-8753, Article 8753 |
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description | In response to the global trend of climate change, it is important to accurately quantify emissions of fully fluorinated greenhouse gases (FFGHGs, referring to SF
6
/NF
3
/CF
4
/C
2
F
6
/C
3
F
8
/
c
-C
4
F
8
here). Atmospheric observation-based top-down methods and activity-based bottom-up methods are usually used together to estimate FFGHG emissions at the global and regional levels. In this work, emission gaps at global and regional levels are discussed among top-down studies, between the top-down and bottom-up FFGHG emissions, and among bottom-up emissions. Generally, trends and magnitudes of individual FFGHG emissions among top-down estimates are close to each other within the uncertainties. However, global bottom-up inventories show discrepancies in FFGHG emissions among each other in trends and magnitudes. The differences in emission magnitudes are up to 93%, 90%, 88%, 83%, 87%, and 85% for SF
6
, NF
3
, CF
4
, C
2
F
6
, C
3
F
8
, and
c
-C
4
F
8
, respectively. Besides, we reveal the insufficient regional TD studies and the lack of atmospheric observation data/stations especially in areas with potential FFGHG emissions. We make recommendations regarding the best practices for improving our understanding of these emissions, including both top-down and bottom-up methods. |
doi_str_mv | 10.1038/s41598-024-58504-x |
format | article |
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6
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3
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4
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F
8
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here). Atmospheric observation-based top-down methods and activity-based bottom-up methods are usually used together to estimate FFGHG emissions at the global and regional levels. In this work, emission gaps at global and regional levels are discussed among top-down studies, between the top-down and bottom-up FFGHG emissions, and among bottom-up emissions. Generally, trends and magnitudes of individual FFGHG emissions among top-down estimates are close to each other within the uncertainties. However, global bottom-up inventories show discrepancies in FFGHG emissions among each other in trends and magnitudes. The differences in emission magnitudes are up to 93%, 90%, 88%, 83%, 87%, and 85% for SF
6
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3
, CF
4
, C
2
F
6
, C
3
F
8
, and
c
-C
4
F
8
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6
/NF
3
/CF
4
/C
2
F
6
/C
3
F
8
/
c
-C
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F
8
here). Atmospheric observation-based top-down methods and activity-based bottom-up methods are usually used together to estimate FFGHG emissions at the global and regional levels. In this work, emission gaps at global and regional levels are discussed among top-down studies, between the top-down and bottom-up FFGHG emissions, and among bottom-up emissions. Generally, trends and magnitudes of individual FFGHG emissions among top-down estimates are close to each other within the uncertainties. However, global bottom-up inventories show discrepancies in FFGHG emissions among each other in trends and magnitudes. The differences in emission magnitudes are up to 93%, 90%, 88%, 83%, 87%, and 85% for SF
6
, NF
3
, CF
4
, C
2
F
6
, C
3
F
8
, and
c
-C
4
F
8
, respectively. Besides, we reveal the insufficient regional TD studies and the lack of atmospheric observation data/stations especially in areas with potential FFGHG emissions. We make recommendations regarding the best practices for improving our understanding of these emissions, including both top-down and bottom-up methods.</description><subject>704/106</subject><subject>704/172</subject><subject>Climate change</subject><subject>Emissions</subject><subject>Greenhouse gases</subject><subject>Humanities and Social Sciences</subject><subject>multidisciplinary</subject><subject>Science</subject><subject>Science (multidisciplinary)</subject><subject>Trends</subject><issn>2045-2322</issn><issn>2045-2322</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2024</creationdate><recordtype>article</recordtype><sourceid>PIMPY</sourceid><sourceid>DOA</sourceid><recordid>eNp9kU1P3DAQhqOqVUGUP8ChitRLL2nHX1n7VFWIwkpISFU5W449zmbljbd2guDf1xBKoQd8sEeeZ16P562qEwJfCDD5NXMilGyA8kZIAby5fVMdUuCioYzSt8_ig-o45y2UJajiRL2vDphs6YoLdVitf-INmjCMfT1tsO5D7EyocTfkPMSx7s0-1z6m2s8h3NU-zDENo5nQ1X1CHDdxzqXKZMwfqnfehIzHj-dRdf3j7NfpRXN5db4-_X7ZWK7o1DhQ0CqrOsWER0cYp1JSaJ10xnPTSmLRCFH6dL6DdmWVB85a55hhhpTtqFovui6ard6nYWfSnY5m0A8XMfXapGmwAbXkxhpvBSAozqnorCQEuWo9Zdx2XdH6tmjt526HzuI4JRNeiL7MjMNG9_FGEwKUcFBF4fOjQoq_Z8yTLqOzGIIZscxGM-DAKIjVPfrpP3Qb5zSWWRWKqZaqVtBC0YWyKeac0D91Q0DfO68X53VxXj84r29L0cfn_3gq-etzAdgC5JIae0z_3n5F9g8FB7n1</recordid><startdate>20240416</startdate><enddate>20240416</enddate><creator>Guo, Liya</creator><creator>Fang, Xuekun</creator><general>Nature Publishing Group UK</general><general>Nature Publishing Group</general><general>Nature Portfolio</general><scope>C6C</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>3V.</scope><scope>7X7</scope><scope>7XB</scope><scope>88A</scope><scope>88E</scope><scope>88I</scope><scope>8FE</scope><scope>8FH</scope><scope>8FI</scope><scope>8FJ</scope><scope>8FK</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>AZQEC</scope><scope>BBNVY</scope><scope>BENPR</scope><scope>BHPHI</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>FYUFA</scope><scope>GHDGH</scope><scope>GNUQQ</scope><scope>HCIFZ</scope><scope>K9.</scope><scope>LK8</scope><scope>M0S</scope><scope>M1P</scope><scope>M2P</scope><scope>M7P</scope><scope>PIMPY</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>Q9U</scope><scope>7X8</scope><scope>5PM</scope><scope>DOA</scope></search><sort><creationdate>20240416</creationdate><title>Revealing the global emission gaps for fully fluorinated greenhouse gases</title><author>Guo, Liya ; Fang, Xuekun</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c492t-d09069c9b935fed134288206d8daf4a681cea55419dfb067c9f0436dd3a3a13a3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2024</creationdate><topic>704/106</topic><topic>704/172</topic><topic>Climate change</topic><topic>Emissions</topic><topic>Greenhouse gases</topic><topic>Humanities and Social Sciences</topic><topic>multidisciplinary</topic><topic>Science</topic><topic>Science (multidisciplinary)</topic><topic>Trends</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Guo, Liya</creatorcontrib><creatorcontrib>Fang, Xuekun</creatorcontrib><collection>Springer Nature OA Free Journals</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>ProQuest Central (Corporate)</collection><collection>Health & Medical Collection</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>Biology Database (Alumni Edition)</collection><collection>Medical Database (Alumni Edition)</collection><collection>Science Database (Alumni Edition)</collection><collection>ProQuest SciTech Collection</collection><collection>ProQuest Natural Science Collection</collection><collection>Hospital Premium Collection</collection><collection>Hospital Premium Collection (Alumni Edition)</collection><collection>ProQuest Central (Alumni) (purchase pre-March 2016)</collection><collection>ProQuest Central (Alumni)</collection><collection>ProQuest Central</collection><collection>ProQuest Central Essentials</collection><collection>Biological Science Collection</collection><collection>ProQuest Central</collection><collection>Natural Science Collection</collection><collection>ProQuest One Community College</collection><collection>ProQuest Central Korea</collection><collection>Health Research Premium Collection</collection><collection>Health Research Premium Collection (Alumni)</collection><collection>ProQuest Central Student</collection><collection>SciTech Premium Collection</collection><collection>ProQuest Health & Medical Complete (Alumni)</collection><collection>ProQuest Biological Science Collection</collection><collection>Health & Medical Collection (Alumni Edition)</collection><collection>PML(ProQuest Medical Library)</collection><collection>Science Database</collection><collection>Biological Science Database</collection><collection>Publicly Available Content Database</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>ProQuest Central Basic</collection><collection>MEDLINE - Academic</collection><collection>PubMed Central (Full Participant titles)</collection><collection>DOAJ Directory of Open Access Journals</collection><jtitle>Scientific reports</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Guo, Liya</au><au>Fang, Xuekun</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Revealing the global emission gaps for fully fluorinated greenhouse gases</atitle><jtitle>Scientific reports</jtitle><stitle>Sci Rep</stitle><addtitle>Sci Rep</addtitle><date>2024-04-16</date><risdate>2024</risdate><volume>14</volume><issue>1</issue><spage>8753</spage><epage>8753</epage><pages>8753-8753</pages><artnum>8753</artnum><issn>2045-2322</issn><eissn>2045-2322</eissn><abstract>In response to the global trend of climate change, it is important to accurately quantify emissions of fully fluorinated greenhouse gases (FFGHGs, referring to SF
6
/NF
3
/CF
4
/C
2
F
6
/C
3
F
8
/
c
-C
4
F
8
here). Atmospheric observation-based top-down methods and activity-based bottom-up methods are usually used together to estimate FFGHG emissions at the global and regional levels. In this work, emission gaps at global and regional levels are discussed among top-down studies, between the top-down and bottom-up FFGHG emissions, and among bottom-up emissions. Generally, trends and magnitudes of individual FFGHG emissions among top-down estimates are close to each other within the uncertainties. However, global bottom-up inventories show discrepancies in FFGHG emissions among each other in trends and magnitudes. The differences in emission magnitudes are up to 93%, 90%, 88%, 83%, 87%, and 85% for SF
6
, NF
3
, CF
4
, C
2
F
6
, C
3
F
8
, and
c
-C
4
F
8
, respectively. Besides, we reveal the insufficient regional TD studies and the lack of atmospheric observation data/stations especially in areas with potential FFGHG emissions. We make recommendations regarding the best practices for improving our understanding of these emissions, including both top-down and bottom-up methods.</abstract><cop>London</cop><pub>Nature Publishing Group UK</pub><pmid>38627459</pmid><doi>10.1038/s41598-024-58504-x</doi><tpages>1</tpages><oa>free_for_read</oa></addata></record> |
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source | PubMed Central Free; Publicly Available Content Database; Free Full-Text Journals in Chemistry; Springer Nature - nature.com Journals - Fully Open Access |
subjects | 704/106 704/172 Climate change Emissions Greenhouse gases Humanities and Social Sciences multidisciplinary Science Science (multidisciplinary) Trends |
title | Revealing the global emission gaps for fully fluorinated greenhouse gases |
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