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1. Identity statement
Reference TypeConference Abstract (Conference Proceedings)
Sitemtc-m21c.sid.inpe.br
Holder Codeisadg {BR SPINPE} ibi 8JMKD3MGPCW/3DT298S
Identifier8JMKD3MGP3W34R/3UHQRT8
Repositorysid.inpe.br/mtc-m21c/2019/12.12.11.16
Metadata Repositorysid.inpe.br/mtc-m21c/2019/12.12.11.16.08
Metadata Last Update2021:03.06.05.22.45 (UTC) administrator
Secondary KeyINPE--PRE/
Citation KeyBassoGMCTDCSAAACNGM:2019:UnSeIn
TitleUnderstanding the seasonality and interannual variability of Amazon CH4 budget and climate feedbacks based on atmospheric data from vertical profiles measurements
Year2019
Access Date2024, May 18
Secondary TypePRE CI
2. Context
Author 1 Basso, Luana Santamaria
 2 Gatti, Luciana Vanni
 3 Marani, Luciano
 4 Cassol, Henrique Luis Godinho
 5 Tejada, Graciela
 6 Domingues, Lucas Gatti
 7 Correia, Caio Silvestre de Carvalho
 8 Sanchez, Alber
 9 Arai, Egídio
10 Aragão, Luiz Eduardo Oliveira e Cruz de
11 Anderson, Liana O.
12 Crispim, Stéphane Palma
13 Neves, Raiane Aparecida Lopes
14 Gloor, Manuel
15 Miller, John B.
Resume Identifier 1
 2
 3
 4
 5
 6
 7
 8
 9 8JMKD3MGP5W/3C9JGUP
Group 1 COCST-COCST-INPE-MCTIC-GOV-BR
 2 COCST-COCST-INPE-MCTIC-GOV-BR
 3 COCST-COCST-INPE-MCTIC-GOV-BR
 4 COCST-COCST-INPE-MCTIC-GOV-BR
 5 COCST-COCST-INPE-MCTIC-GOV-BR
 6 COCST-COCST-INPE-MCTIC-GOV-BR
 7
 8 CST-CST-SESPG-INPE-MCTIC-GOV-BR
 9 DIDSR-CGOBT-INPE-MCTIC-GOV-BR
10 DIDSR-CGOBT-INPE-MCTIC-GOV-BR
11
12 COCST-COCST-INPE-MCTIC-GOV-BR
13 YYY-COCST-INPE-MCTIC-GOV-BR
Affiliation 1 Instituto Nacional de Pesquisas Espaciais (INPE)
 2 Instituto Nacional de Pesquisas Espaciais (INPE)
 3 Instituto Nacional de Pesquisas Espaciais (INPE)
 4 Instituto Nacional de Pesquisas Espaciais (INPE)
 5 Instituto Nacional de Pesquisas Espaciais (INPE)
 6 Instituto Nacional de Pesquisas Espaciais (INPE)
 7 Instituto Nacional de Pesquisas Energéticas (IPEN)
 8 Instituto Nacional de Pesquisas Espaciais (INPE)
 9 Instituto Nacional de Pesquisas Espaciais (INPE)
10 Instituto Nacional de Pesquisas Espaciais (INPE)
11 Centro Nacional de Monitoramento e Alertas de Desastres Naturais (CEMADEN)
12 Instituto Nacional de Pesquisas Espaciais (INPE)
13 Instituto Nacional de Pesquisas Espaciais (INPE)
14 University of Leeds
15 NOAA
Author e-Mail Address 1 luana.basso@inpe.br
 2 luciana.gatti@inpe.br
 3 luciano.marani@inpe.br
 4 hlcassol@hotmail.com
 5 graciela.tejada@inpe.br
 6 lgtdomingues@gmail.com
 7
 8 alber.ipia@inpe.br
 9 egidio.arai@inpe.br
10 luiz.aragao@inpe.br
11
12 stephane.crispim@inpe.br
13 raiane.neves@inpe.br
Conference NameChapman Conference on Understanding Carbon Climate Feedbacks
Conference LocationSan Diego, CA
Date26-29 ago.
Book TitleAbstracts
History (UTC)2019-12-12 11:17:02 :: simone -> administrator :: 2019
2019-12-12 16:17:46 :: administrator -> simone :: 2019
2020-01-06 16:28:49 :: simone -> administrator :: 2019
2021-03-06 05:22:45 :: administrator -> simone :: 2019
3. Content and structure
Is the master or a copy?is the master
Content Stagecompleted
Transferable1
Content TypeExternal Contribution
AbstractCurrently tropical land regions, like Amazon, are still poorly observed with large-scale integrating in-situ observations although they host some of the largest wetlands/seasonally flooded areas on the globe. The role of these regions in the global CH4 balance and the climate feedbacks have remained uncertain. To help this situation we have started a lower-troposphere greenhouse gas-monitoring program over tropical South America consisting of regular vertical profile greenhouse gas and carbon monoxide (CO) observations at four sites along the main airstream since 2010. Vertical profiles are sampled using light aircraft, high-precision greenhouse gas and carbon monoxide analysis of flask air, fortnightly between 2010 to 2017. Over the full period the Amazon (total area of around 7.2 million km2) was a source of CH4, of approximately 46 ± 6 Tg/year, which represent 8% of the global CH4 flux to the atmosphere. CH4 emissions from different parts of the basin vary markedly. There are comparably high emissions from the eastern part of the basin exhibiting strong variability, with particularly high CH4 fluxes in the early part of the wet season (January to March). A second period of high emissions occurs during the dry season. The cause of the high emissions is unclear. In contrast to the eastern Amazon site a clear seasonality was observed at the other three sites located further downwind along the main sir-stream, with the largest emissions occurring at the beginning of the wet season (January to March). In addition, these data show an interannual variability in emissions magnitude, so we discuss how these data can be correlate to temperature, precipitation, terrestrial water storage anomalies (from GRACE) and Fire counts (human-driven changes) that could be influencing this variability. Using a CO/CH4 emission ratio calculated in this study we find a biomass burning contribution varying between 10 and 23% of the total flux at each site. Also, we discuss what the data tell us about possible ongoing feedbacks to possible changes in temperature, precipitation and biomass burning and indicating what variables can be contributing to CH4 emissions from Amazon.
AreaCST
Arrangement 1urlib.net > BDMCI > Fonds > Produção anterior à 2021 > DIDSR > Understanding the seasonality...
Arrangement 2urlib.net > BDMCI > Fonds > Produção anterior à 2021 > COCST > Understanding the seasonality...
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Arrangement 5urlib.net > BDMCI > Fonds > Produção pgr ATUAIS > CST > Understanding the seasonality...
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4. Conditions of access and use
Languageen
User Groupsimone
Reader Groupadministrator
simone
Visibilityshown
Update Permissionnot transferred
5. Allied materials
Mirror Repositoryurlib.net/www/2017/11.22.19.04.03
Next Higher Units8JMKD3MGPCW/3ER446E
8JMKD3MGPCW/3F3T29H
8JMKD3MGPCW/449D74B
8JMKD3MGPCW/449U4PL
Host Collectionurlib.net/www/2017/11.22.19.04
6. Notes
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