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1. Identificação
Tipo de ReferênciaArtigo em Revista Científica (Journal Article)
Sitemtc-m21c.sid.inpe.br
Código do Detentorisadg {BR SPINPE} ibi 8JMKD3MGPCW/3DT298S
Identificador8JMKD3MGP3W34R/44N8HQP
Repositóriosid.inpe.br/mtc-m21c/2021/05.20.17.41   (acesso restrito)
Última Atualização2021:05.20.17.45.37 (UTC) simone
Repositório de Metadadossid.inpe.br/mtc-m21c/2021/05.20.17.41.26
Última Atualização dos Metadados2022:04.03.22.28.41 (UTC) administrator
DOI10.1016/j.rse.2021.112435
ISSN0034-4257
Chave de CitaçãoFordTSKLSPSLCBLKB:2021:WiSpMe
TítuloWind speed and mesoscale features drive net autotrophy in the South Atlantic Ocean
Ano2021
MêsJuly
Data de Acesso20 maio 2024
Tipo de Trabalhojournal article
Tipo SecundárioPRE PI
Número de Arquivos1
Tamanho8034 KiB
2. Contextualização
Autor 1 Ford, Daniel
 2 Tilstone, Gavin H.
 3 Shutler, Jamie D.
 4 Kitidis, Vassilie
 5 Lobanova, Polina
 6 Schwarz, Jill
 7 Poulton, Alex J.
 8 Serret, Pablo
 9 Lamont, Tarron
10 Chuqui, Mateus
11 Barlow, Ray
12 Lozano, Jose
13 Kampel, Milton
14 Brandini, Frederico
Identificador de Curriculo 1
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13 8JMKD3MGP5W/3C9JHTG
Grupo 1
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13 DIOTG-CGCT-INPE-MCTI-GOV-BR
Afiliação 1 Plymouth Marine Laboratory
 2 Plymouth Marine Laboratory
 3 University of Exeter
 4 Plymouth Marine Laboratory
 5 St. Petersburg State University
 6 University of Plymouth
 7 Heriot-Watt University
 8 Universidad de Vigo
 9 Oceans & Coasts Research
10 Universidade de São Paulo (USP)
11 Bayworld Centre for Research & Education
12 Universidad de Vigo
13 Instituto Nacional de Pesquisas Espaciais (INPE)
14 Universidade de São Paulo (USP)
Endereço de e-Mail do Autor 1 dfo@pml.ac.uk
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13 milton.kampel@inpe.br
RevistaRemote Sensing of Environment
Volume260
Páginase112435
Nota SecundáriaA1_INTERDISCIPLINAR A1_GEOCIÊNCIAS A1_ENGENHARIAS_I A1_CIÊNCIAS_BIOLÓGICAS_I A1_CIÊNCIAS_AMBIENTAIS A1_CIÊNCIAS_AGRÁRIAS_I A1_BIODIVERSIDADE
Histórico (UTC)2021-05-20 17:41:26 :: simone -> administrator ::
2021-05-20 17:41:28 :: administrator -> simone :: 2021
2021-05-20 17:45:39 :: simone -> administrator :: 2021
2022-04-03 22:28:41 :: administrator -> simone :: 2021
3. Conteúdo e estrutura
É a matriz ou uma cópia?é a matriz
Estágio do Conteúdoconcluido
Transferível1
Tipo do ConteúdoExternal Contribution
Tipo de Versãopublisher
Palavras-ChaveMODIS-A
in situ uncertainty
Ocean colour
Environmental drivers
South Atlantic Ocean
Ocean metabolism
ResumoA comprehensive in situ dataset of chlorophyll a (Chl a; N = 18,001), net primary production (NPP; N = 165) and net community production (NCP; N = 95), were used to evaluate the performance of Moderate Resolution Imaging Spectroradiometer on Aqua (MODIS-A) algorithms for these parameters, in the South Atlantic Ocean, to facilitate the accurate generation of satellite NCP time series. For Chl a, five algorithms were tested using MODIS-A data, and OC3-CI performed best, which was subsequently used to compute NPP. Of three NPP algorithms tested, a Wavelength Resolved Model (WRM) was the most accurate, and was therefore used to estimate NCP with an empirical relationship between NCP with NPP and sea surface temperature (SST). A perturbation analysis was deployed to quantify the range of uncertainties introduced in satellite NCP from input parameters. The largest reductions in the uncertainty of satellite NCP came from MODIS-A derived NPP using the WRM (40%) and MODIS-A Chl a using OC3-CI (22%). The most accurate NCP algorithm, was used to generate a 16 year time series (2002 to 2018) from MODIS-A to assess climate and environmental drivers of NCP across the South Atlantic basin. Positive correlations between wind speed anomalies and NCP anomalies were observed in the central South Atlantic Gyre (SATL), and the Benguela Upwelling (BENG), indicating that autotrophic conditions may be fuelled by local wind-induced nutrient inputs to the mixed layer. Sea Level Height Anomalies (SLHA), used as an indicator of mesoscale eddies, were negatively correlated with NCP anomalies offshore of the BENG upwelling fronts into the SATL, suggesting autotrophic conditions are driven by mesoscale features. The Agulhas bank and Brazil-Malvinas confluence regions also had a strong negative correlation between SLHA and NCP anomalies, similarly indicating that NCP is forced by mesoscale eddy generation in this region. Positive correlations between SST anomalies and the Multivariate ENSO Index (MEI) in the SATL, indicated the influence of El Niño events on the South Atlantic Ocean, however the plankton community response was less clear.
ÁreaSRE
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4. Condições de acesso e uso
Idiomaen
Arquivo Alvoford_wind.pdf
Grupo de Usuáriossimone
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Visibilidadeshown
Política de Arquivamentodenypublisher allowfinaldraft24
Permissão de Leituradeny from all and allow from 150.163
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5. Fontes relacionadas
Unidades Imediatamente Superiores8JMKD3MGPCW/46KUATE
Lista de Itens Citandosid.inpe.br/mtc-m21/2012/07.13.14.56.38 1
DivulgaçãoWEBSCI; PORTALCAPES; MGA; COMPENDEX; SCOPUS.
Acervo Hospedeirourlib.net/www/2017/11.22.19.04
6. Notas
Campos Vaziosalternatejournal archivist callnumber copyholder copyright creatorhistory descriptionlevel e-mailaddress format isbn label lineage mark mirrorrepository nextedition notes number orcid parameterlist parentrepositories previousedition previouslowerunit progress project rightsholder schedulinginformation secondarydate secondarykey session shorttitle sponsor subject tertiarymark tertiarytype url
7. Controle da descrição
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