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1. Identity statement
Reference TypeJournal Article
Sitemtc-m21c.sid.inpe.br
Holder Codeisadg {BR SPINPE} ibi 8JMKD3MGPCW/3DT298S
Identifier8JMKD3MGP3W34R/3SR72AB
Repositorysid.inpe.br/mtc-m21c/2019/02.28.10.54   (restricted access)
Last Update2019:02.28.10.54.11 (UTC) administrator
Metadata Repositorysid.inpe.br/mtc-m21c/2019/02.28.10.54.11
Metadata Last Update2021:07.28.22.14.22 (UTC) administrator
DOI10.1029/2018JG004665
ISSN2169-8953
Citation KeyGouveiaGhWaPaCoAr:2019:SaStAm
TitleThe salinity structure of the Amazon river plume drives spatiotemporal variation of oceanic primary productivity
Year2019
MonthJan.
Access Date2024, Apr. 19
Type of Workjournal article
Secondary TypePRE PI
Number of Files1
Size2648 KiB
2. Context
Author1 Gouveia, Nelson de Almeida
2 Gherardi, Douglas Francisco Marcolino
3 Wagner, Fabien Hubert
4 Paes, E. T.
5 Coles, V. J.
6 Aragão, Luiz Eduardo Oliveira e Cruz de
Resume Identifier1
2 8JMKD3MGP5W/3C9JGU3
ORCID1 0000-0002-3868-1919
2 0000-0003-3471-7213
3 0000-0002-9623-1182
4 0000-0002-9429-2598
5
6 0000-0002-4134-6708
Group1 SER-SRE-SESPG-INPE-MCTIC-GOV-BR
2 DIDSR-CGOBT-INPE-MCTIC-GOV-BR
3 DIDSR-CGOBT-INPE-MCTIC-GOV-BR
4
5
6 DIDSR-CGOBT-INPE-MCTIC-GOV-BR
Affiliation1 Instituto Nacional de Pesquisas Espaciais (INPE)
2 Instituto Nacional de Pesquisas Espaciais (INPE)
3 Instituto Nacional de Pesquisas Espaciais (INPE)
4 Universidade Federal Rural da Amazonia (UFRA)
5 University of Maryland Center for Environmental Science
6 Instituto Nacional de Pesquisas Espaciais (INPE)
Author e-Mail Address1 nelson.gouveia@inpe.br
2 douglas.gherardi@inpe.br
3
4
5
6 luiz.aragao@inpe.br
JournalJournal of Geophysical Research: Biogeosciences
Volume124
Number1
Pages147-165
History (UTC)2019-02-28 10:55:11 :: simone -> administrator :: 2019
2021-07-28 22:14:22 :: administrator -> simone :: 2019
3. Content and structure
Is the master or a copy?is the master
Content Stagecompleted
Transferable1
Content TypeExternal Contribution
Version Typepublisher
Keywordsprimary productivity
salinity
Amazon river plume
remote sensing
AbstractThe Amazon river is a major source of terrestrially derived organic carbon to the tropical Atlantic Ocean. Field, satellite and a vertically generalized production model data were used to estimate empirical surface salinity and fit an inverse logit function to investigate the limiting effect of salinity on the productivity in the Amazon river plume. Satellite data included Moderate Resolution Imaging Spectroradiometer, Soil Moisture and Ocean Salinity, and Aquarius missions. Previous empirical surface salinity models have relied on a very narrow range of salinity values and satellite data to estimate the spatial extent of the river plume. The empirical surface salinity model presented here extended the range of salinity values and captures all the main surface mesoscale features, particularly those related to the main path of the low-salinity water. We also show that it is possible to gain new insights on the spatiotemporal variability of the Amazon river plume by improving the empirical surface salinity and expanding its sampling period with the aid of remote sensing data. The variability of primary productivity is dominated by the subannual (6 month) and annual (12 month) frequency bands. Low-salinity river water influences surface primary productivity continuously during the year through mechanisms associated with the western tropical Atlantic circulation and vertical mixing.
AreaSRE
Arrangement 1urlib.net > BDMCI > Fonds > Produção anterior à 2021 > DIDSR > The salinity structure...
Arrangement 2urlib.net > BDMCI > Fonds > Produção pgr ATUAIS > SER > The salinity structure...
doc Directory Contentaccess
source Directory Contentthere are no files
agreement Directory Content
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4. Conditions of access and use
Languageen
Target Filegouveia_salinity.pdf
User Groupsimone
Visibilityshown
Read Permissiondeny from all and allow from 150.163
Update Permissionnot transferred
5. Allied materials
Next Higher Units8JMKD3MGPCW/3ER446E
8JMKD3MGPCW/3F3NU5S
DisseminationWEBSCI; PORTALCAPES; SCOPUS.
Host Collectionurlib.net/www/2017/11.22.19.04
6. Notes
Empty Fieldsalternatejournal archivingpolicy archivist callnumber copyholder copyright creatorhistory descriptionlevel e-mailaddress format isbn label lineage mark mirrorrepository nextedition notes parameterlist parentrepositories previousedition previouslowerunit progress project readergroup rightsholder schedulinginformation secondarydate secondarykey secondarymark session shorttitle sponsor subject tertiarymark tertiarytype url
7. Description control
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