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Reference TypeConference Paper (Conference Proceedings)
Holder Codeisadg {BR SPINPE} ibi 8JMKD3MGPCW/3DT298S
Sitemtc-m21d.sid.inpe.br (namespace prefix: upn:44QHRCS)
Identifier8JMKD3MGP3W34T/4AC84KP
Repositorysid.inpe.br/mtc-m21d/2023/12.11.13.38
Metadata Repositorysid.inpe.br/mtc-m21d/2023/12.11.13.38.51
Metadata Last Update2024:01.02.17.16.56 (UTC) administrator
Secondary KeyINPE--PRE/
Citation KeyLemesSampFisc:2023:AmDeCo
TitleAmazon deforestation combined high atmospheric CO2 concentration, a new state of South America climate
Year2023
Access Date2026, Nov. 06
Secondary TypePRE CI
2. Context
Author1 Lemes, Murilo Ruv da Costa
2 Sampaio, Gilvan
3 Fisch, Gilberto Fernando
Group1 CST-CST-DIPGR-INPE-MCTI-GOV-BR
2 CGCT-CGCT-INPE-MCTI-GOV-BR
3 COEPE-COEPE-INPE-MCTI-GOV-BR
Affiliation1 Instituto Nacional de Pesquisas Espaciais (INPE)
2 Instituto Nacional de Pesquisas Espaciais (INPE)
3 Instituto Nacional de Pesquisas Espaciais (INPE)
Author e-Mail Address1 murilo.lemes@inpe.br
2 gilvan.sampaio@inpe.br
Conference NameAGU FAll Meeting
Conference LocationSan Francisco, CA
Date11-15 Dec. 2023
PublisherAGU
Book TitleProceedings
Host Collectionurlib.net/www/2021/06.04.03.40 upn:44QHRCS
History (UTC)2023-12-11 13:38:51 :: simone -> administrator ::
2024-01-02 17:16:56 :: administrator -> simone :: 2023
3. Content and structure
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AbstractThe land cover change in the Amazon basin has been a high-impact subject in climate studies, especially those that evaluated the hydrological issues not only locally but also regionally. However, the increase of atmospheric carbon dioxide may lead to different behavior in the biosphere-atmosphere coupled system, which brings a worse climate change scenario. Therefore, the main goal is to evaluate how the total Amazon deforestation and higher atmospheric carbon dioxide concentration modulate the moisture transport mechanism in the South America continent. Through a climate modelling study, the CPTEC-BAM (Brazilian Atmospheric Model) and CESM (Community Earth System Model) were selected to simulate such processes over the Amazon basin and Sao Paulo region during the austral summer (December-January-February / wet season). Both models were forced by HadGEM- CMIP6 Sea Surface Temperature (SST). The Amazon forest was completely replaced by grasslands (C4) and the Representative Concentration Pathway 8.5 (RCP8.5) was considered as a greenhouse gas scenario. Finally, the Specific Warming Level 2 (SWL2) was applied as the main index to analyze the atmospheric changes. The 30-year period in which the 2.0o C is reached in comparison to the pre-industrial period is considered the SWL period (in this case 2024-2054 (CPTEC-BAM) and 2029-2059 (CESM)). The results showed a stronger local evapotranspiration (physiological parameters stomatal conductance reduction) and precipitation reduction (~ -0.7 mm.day-1 and ~ -1.5 mm.day-1), however, the wind speed over the Amazon forest increased (17%). Such change contributed to higher moisture amount brought from the Atlantic Tropical Ocean (+10%), which increase the moisture transport over the western Amazon basin and decreased (-15%) in the southern boundary. Looking at the regional domain, the precipitation over the Sao Paulo area decreased by around 7.8% due to total Amazon deforestation and higher carbon dioxide, which is shown by the moisture incoming reduction of around 11%, which means 1.5 kg m-1 s-1 less. Although both models showed a different anomaly signal for bias moisture incoming in Sao Paulo CPTEC-BAM (+) and CESM (-). In addition, the decrease of the CAPE index over the Sao Paulo area may indicate not only a hydrological collapse situation but also severe energy balance changes. In conclusion, when the SWL2 approach is used to evaluate land cover changes through climate modelling some results may be different from well-known literature because more effects are added. In this way, a strong connection between the Amazon moisture source and Sao Paulo was identified, which climate changes may be catastrophically looking at the most important economic South America region (31% of gross internal Brazilian product Nexus water-food-energy).
AreaCST
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Languageen
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Visibilityshown
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5. Allied materials
Next Higher Units8JMKD3MGPCW/449U4PL
8JMKD3MGPCW/46KUATE
8JMKD3MGPCW/46L2EES
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