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Controls over spatial and seasonal variations on isotopic composition of the precipitation along the central and eastern portion of Brazil
Based on Global Network Isotopes in Precipitation (GNIP) isotopic data set, a review of the spatial and temporal variability of δ 18 O and δ 2 H in precipitation was conducted throughout central and eastern Brazil, indicating that dynamic interactions between Intertropical and South Atlantic Converg...
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Published in: | Isotopes in environmental and health studies 2017-10, Vol.53 (5), p.518-538 |
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container_end_page | 538 |
container_issue | 5 |
container_start_page | 518 |
container_title | Isotopes in environmental and health studies |
container_volume | 53 |
creator | Gastmans, Didier Santos, Vinícius Galhardi, Juliana Aparecida Gromboni, João Felipe Batista, Ludmila Vianna Miotlinski, Konrad Chang, Hung Kiang Govone, José Silvio |
description | Based on Global Network Isotopes in Precipitation (GNIP) isotopic data set, a review of the spatial and temporal variability of δ
18
O and δ
2
H in precipitation was conducted throughout central and eastern Brazil, indicating that dynamic interactions between Intertropical and South Atlantic Convergence Zones, Amazon rainforest, and Atlantic Ocean determine the variations on the isotopic composition of precipitation over this area. Despite the seasonality and latitude effects observed, a fair correlation with precipitation amount was found. In addition, Hybrid Single-Particle Lagrangian Integrated Trajectory (HYSPLIT) air mass back trajectories were used to quantify the factors controlling daily variability in stable isotopes in precipitation. Through a linear multiple regression analysis, it was observed that temporal variations were consistent with the meteorological parameters derived from HYSPLIT, particularly precipitation amount along the trajectory and mix depth, but are not dependent on vapour residence time in the atmosphere. These findings also indicate the importance of convective systems to control the isotopic composition of precipitation in tropical and subtropical regions. |
doi_str_mv | 10.1080/10256016.2017.1305376 |
format | article |
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18
O and δ
2
H in precipitation was conducted throughout central and eastern Brazil, indicating that dynamic interactions between Intertropical and South Atlantic Convergence Zones, Amazon rainforest, and Atlantic Ocean determine the variations on the isotopic composition of precipitation over this area. Despite the seasonality and latitude effects observed, a fair correlation with precipitation amount was found. In addition, Hybrid Single-Particle Lagrangian Integrated Trajectory (HYSPLIT) air mass back trajectories were used to quantify the factors controlling daily variability in stable isotopes in precipitation. Through a linear multiple regression analysis, it was observed that temporal variations were consistent with the meteorological parameters derived from HYSPLIT, particularly precipitation amount along the trajectory and mix depth, but are not dependent on vapour residence time in the atmosphere. These findings also indicate the importance of convective systems to control the isotopic composition of precipitation in tropical and subtropical regions.</description><identifier>ISSN: 1025-6016</identifier><identifier>EISSN: 1477-2639</identifier><identifier>DOI: 10.1080/10256016.2017.1305376</identifier><identifier>PMID: 28446033</identifier><language>eng</language><publisher>England: Taylor & Francis</publisher><subject>Air Movements ; Brazil ; Brazilian climate ; Composition effects ; Convergence zones ; Deuterium ; deuterium excess ; Environmental Monitoring ; hydrogen-2 ; Hydrologic data ; isotope hydrology ; Isotopes ; Meteorological parameters ; Multiple regression analysis ; multiple regression model ; Oxygen Isotopes ; oxygen-18 ; Precipitation ; Rain ; Rainfall ; Rainforests ; Regression analysis ; Seasonal variations ; Seasons ; Spatial distribution ; Stable isotopes ; Temporal variations ; Variability</subject><ispartof>Isotopes in environmental and health studies, 2017-10, Vol.53 (5), p.518-538</ispartof><rights>2017 Informa UK Limited, trading as Taylor & Francis Group 2017</rights><rights>2017 Informa UK Limited, trading as Taylor & Francis Group</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c441t-939656243b27605961449bead052aa31e63b49cb759bb49c0c52ecad7f08656a3</citedby><cites>FETCH-LOGICAL-c441t-939656243b27605961449bead052aa31e63b49cb759bb49c0c52ecad7f08656a3</cites><orcidid>0000-0002-1340-3373</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>314,780,784,27924,27925</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/28446033$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Gastmans, Didier</creatorcontrib><creatorcontrib>Santos, Vinícius</creatorcontrib><creatorcontrib>Galhardi, Juliana Aparecida</creatorcontrib><creatorcontrib>Gromboni, João Felipe</creatorcontrib><creatorcontrib>Batista, Ludmila Vianna</creatorcontrib><creatorcontrib>Miotlinski, Konrad</creatorcontrib><creatorcontrib>Chang, Hung Kiang</creatorcontrib><creatorcontrib>Govone, José Silvio</creatorcontrib><title>Controls over spatial and seasonal variations on isotopic composition of the precipitation along the central and eastern portion of Brazil</title><title>Isotopes in environmental and health studies</title><addtitle>Isotopes Environ Health Stud</addtitle><description>Based on Global Network Isotopes in Precipitation (GNIP) isotopic data set, a review of the spatial and temporal variability of δ
18
O and δ
2
H in precipitation was conducted throughout central and eastern Brazil, indicating that dynamic interactions between Intertropical and South Atlantic Convergence Zones, Amazon rainforest, and Atlantic Ocean determine the variations on the isotopic composition of precipitation over this area. Despite the seasonality and latitude effects observed, a fair correlation with precipitation amount was found. In addition, Hybrid Single-Particle Lagrangian Integrated Trajectory (HYSPLIT) air mass back trajectories were used to quantify the factors controlling daily variability in stable isotopes in precipitation. Through a linear multiple regression analysis, it was observed that temporal variations were consistent with the meteorological parameters derived from HYSPLIT, particularly precipitation amount along the trajectory and mix depth, but are not dependent on vapour residence time in the atmosphere. These findings also indicate the importance of convective systems to control the isotopic composition of precipitation in tropical and subtropical regions.</description><subject>Air Movements</subject><subject>Brazil</subject><subject>Brazilian climate</subject><subject>Composition effects</subject><subject>Convergence zones</subject><subject>Deuterium</subject><subject>deuterium excess</subject><subject>Environmental Monitoring</subject><subject>hydrogen-2</subject><subject>Hydrologic data</subject><subject>isotope hydrology</subject><subject>Isotopes</subject><subject>Meteorological parameters</subject><subject>Multiple regression analysis</subject><subject>multiple regression model</subject><subject>Oxygen Isotopes</subject><subject>oxygen-18</subject><subject>Precipitation</subject><subject>Rain</subject><subject>Rainfall</subject><subject>Rainforests</subject><subject>Regression analysis</subject><subject>Seasonal variations</subject><subject>Seasons</subject><subject>Spatial distribution</subject><subject>Stable isotopes</subject><subject>Temporal variations</subject><subject>Variability</subject><issn>1025-6016</issn><issn>1477-2639</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2017</creationdate><recordtype>article</recordtype><recordid>eNp9kctuFDEQRS0EIg_4BJAlNmx64ne3d5ARLylSNmFtud1ucNTtamxPovAJ-WrcmRkWLFi5XHXuLakuQm8o2VDSkQtKmFSEqg0jtN1QTiRv1TN0SkXbNkxx_bzWlWlW6ASd5XxLCOVSdy_RCeuEUITzU_S4hVgSTBnDnU84L7YEO2EbB5y9zRDr586mUNsQKxRxyFBgCQ47mBfIYR1gGHH56fGSvAtLKE80thPEH0995-uSg211LT5FvEA6Si-T_R2mV-jFaKfsXx_ec_T986eb7dfm6vrLt-3Hq8YJQUujuVZSMcF71ioitaJC6N7bgUhmLade8V5o17dS92tBnGTe2aEdSVeFlp-j93vfJcGvnc_FzCE7P002ethlQzvNWia55hV99w96C7tUb1IpzQXhpBWsUnJPuQQ5Jz-aJYXZpgdDiVnDMsewzBqWOYRVdW8P7rt-9sNf1TGdCnzYAyGOkGZ7D2kaTLEPE6Qx2ehCNvz_O_4At82k3w</recordid><startdate>201710</startdate><enddate>201710</enddate><creator>Gastmans, Didier</creator><creator>Santos, Vinícius</creator><creator>Galhardi, Juliana Aparecida</creator><creator>Gromboni, João Felipe</creator><creator>Batista, Ludmila Vianna</creator><creator>Miotlinski, Konrad</creator><creator>Chang, Hung Kiang</creator><creator>Govone, José Silvio</creator><general>Taylor & Francis</general><general>Taylor & Francis Ltd</general><scope>CGR</scope><scope>CUY</scope><scope>CVF</scope><scope>ECM</scope><scope>EIF</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7ST</scope><scope>C1K</scope><scope>SOI</scope><scope>7X8</scope><orcidid>https://orcid.org/0000-0002-1340-3373</orcidid></search><sort><creationdate>201710</creationdate><title>Controls over spatial and seasonal variations on isotopic composition of the precipitation along the central and eastern portion of Brazil</title><author>Gastmans, Didier ; Santos, Vinícius ; Galhardi, Juliana Aparecida ; Gromboni, João Felipe ; Batista, Ludmila Vianna ; Miotlinski, Konrad ; Chang, Hung Kiang ; Govone, José Silvio</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c441t-939656243b27605961449bead052aa31e63b49cb759bb49c0c52ecad7f08656a3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2017</creationdate><topic>Air Movements</topic><topic>Brazil</topic><topic>Brazilian climate</topic><topic>Composition effects</topic><topic>Convergence zones</topic><topic>Deuterium</topic><topic>deuterium excess</topic><topic>Environmental Monitoring</topic><topic>hydrogen-2</topic><topic>Hydrologic data</topic><topic>isotope hydrology</topic><topic>Isotopes</topic><topic>Meteorological parameters</topic><topic>Multiple regression analysis</topic><topic>multiple regression model</topic><topic>Oxygen Isotopes</topic><topic>oxygen-18</topic><topic>Precipitation</topic><topic>Rain</topic><topic>Rainfall</topic><topic>Rainforests</topic><topic>Regression analysis</topic><topic>Seasonal variations</topic><topic>Seasons</topic><topic>Spatial distribution</topic><topic>Stable isotopes</topic><topic>Temporal variations</topic><topic>Variability</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Gastmans, Didier</creatorcontrib><creatorcontrib>Santos, Vinícius</creatorcontrib><creatorcontrib>Galhardi, Juliana Aparecida</creatorcontrib><creatorcontrib>Gromboni, João Felipe</creatorcontrib><creatorcontrib>Batista, Ludmila Vianna</creatorcontrib><creatorcontrib>Miotlinski, Konrad</creatorcontrib><creatorcontrib>Chang, Hung Kiang</creatorcontrib><creatorcontrib>Govone, José Silvio</creatorcontrib><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>Environment Abstracts</collection><collection>Environmental Sciences and Pollution Management</collection><collection>Environment Abstracts</collection><collection>MEDLINE - Academic</collection><jtitle>Isotopes in environmental and health studies</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Gastmans, Didier</au><au>Santos, Vinícius</au><au>Galhardi, Juliana Aparecida</au><au>Gromboni, João Felipe</au><au>Batista, Ludmila Vianna</au><au>Miotlinski, Konrad</au><au>Chang, Hung Kiang</au><au>Govone, José Silvio</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Controls over spatial and seasonal variations on isotopic composition of the precipitation along the central and eastern portion of Brazil</atitle><jtitle>Isotopes in environmental and health studies</jtitle><addtitle>Isotopes Environ Health Stud</addtitle><date>2017-10</date><risdate>2017</risdate><volume>53</volume><issue>5</issue><spage>518</spage><epage>538</epage><pages>518-538</pages><issn>1025-6016</issn><eissn>1477-2639</eissn><abstract>Based on Global Network Isotopes in Precipitation (GNIP) isotopic data set, a review of the spatial and temporal variability of δ
18
O and δ
2
H in precipitation was conducted throughout central and eastern Brazil, indicating that dynamic interactions between Intertropical and South Atlantic Convergence Zones, Amazon rainforest, and Atlantic Ocean determine the variations on the isotopic composition of precipitation over this area. Despite the seasonality and latitude effects observed, a fair correlation with precipitation amount was found. In addition, Hybrid Single-Particle Lagrangian Integrated Trajectory (HYSPLIT) air mass back trajectories were used to quantify the factors controlling daily variability in stable isotopes in precipitation. Through a linear multiple regression analysis, it was observed that temporal variations were consistent with the meteorological parameters derived from HYSPLIT, particularly precipitation amount along the trajectory and mix depth, but are not dependent on vapour residence time in the atmosphere. These findings also indicate the importance of convective systems to control the isotopic composition of precipitation in tropical and subtropical regions.</abstract><cop>England</cop><pub>Taylor & Francis</pub><pmid>28446033</pmid><doi>10.1080/10256016.2017.1305376</doi><tpages>21</tpages><orcidid>https://orcid.org/0000-0002-1340-3373</orcidid><oa>free_for_read</oa></addata></record> |
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subjects | Air Movements Brazil Brazilian climate Composition effects Convergence zones Deuterium deuterium excess Environmental Monitoring hydrogen-2 Hydrologic data isotope hydrology Isotopes Meteorological parameters Multiple regression analysis multiple regression model Oxygen Isotopes oxygen-18 Precipitation Rain Rainfall Rainforests Regression analysis Seasonal variations Seasons Spatial distribution Stable isotopes Temporal variations Variability |
title | Controls over spatial and seasonal variations on isotopic composition of the precipitation along the central and eastern portion of Brazil |
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