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Registro Completo
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Biblioteca(s): |
Embrapa Amazônia Oriental. |
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Data corrente: |
26/06/2013 |
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Data da última atualização: |
07/11/2022 |
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Tipo da produção científica: |
Artigo em Periódico Indexado |
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Circulação/Nível: |
Internacional - A |
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Autoria: |
POTTER, C.; KLOOSTER, S.; STEINBACH, M.; TAN, P.-N.; KUMAR, V.; SHEKHAR, S.; CARVALHO, C. R. de. |
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Afiliação: |
Christopher Potter, NASA Ames Research Center; Steven Klooster, California State University Monterey Bay; Michael Steinbach, University of Minnesota; Pang-Ning Tan, University of Minnesota; Vipin Kumar, University of Minnesota; Shashi Shekhar, University of Minnesota; CLAUDIO JOSE REIS DE CARVALHO, CPATU. |
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Título: |
Understanding global teleconnections of climate to regional model estimates of Amazon ecosystem carbon fluxes. |
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Ano de publicação: |
2004 |
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Fonte/Imprenta: |
Global Change Biology, v. 10, n. 5, p. 693-703, May 2004. |
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DOI: |
10.1111/j.1529-8817.2003.00752.x |
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Idioma: |
Inglês |
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Conteúdo: |
We have investigated global teleconnections of climate to regional satellite-driven observations for prediction of Amazon ecosystem production, in the form of monthly estimates of net carbon exchange over the period 1982?1998 from the NASA?CASA (Carnegie?Ames?Stanford) biosphere model. This model is driven by observed surface climate and monthly estimates of vegetation leaf area index (LAI) and fraction of absorbed PAR (fraction of photosynthetically active radiation, FPAR) generated from the NOAA satellite advanced very high-resolution radiometer (AVHRR) and similar sensors. Land surface AVHRR data processing using modified moderate-resolution imaging spectroradiometer radiative transfer algorithms includes improved calibration for intra- and intersensor variations, partial atmospheric correction for gaseous absorption and scattering, and correction for stratospheric aerosol effects associated with volcanic eruptions. Results from our analysis suggest that anomalies of net primary production and net ecosystem production predicted from the NASA?CASA model over large areas of the Amazon region east of 60°W longitude are strongly correlated with the Southern Oscillation index. Extensive areas of the south-central Amazon show strong linkages of the FPAR and the NASA?CASA anomaly record to the Arctic Oscillation index, which help confirm a strong relation to southern Atlantic climate anomalies, with associated impacts on Amazon rainfall patterns. Processes are investigated for these teleconnections of global climate to Amazon ecosystem carbon fluxes and regional land surface climate. MenosWe have investigated global teleconnections of climate to regional satellite-driven observations for prediction of Amazon ecosystem production, in the form of monthly estimates of net carbon exchange over the period 1982?1998 from the NASA?CASA (Carnegie?Ames?Stanford) biosphere model. This model is driven by observed surface climate and monthly estimates of vegetation leaf area index (LAI) and fraction of absorbed PAR (fraction of photosynthetically active radiation, FPAR) generated from the NOAA satellite advanced very high-resolution radiometer (AVHRR) and similar sensors. Land surface AVHRR data processing using modified moderate-resolution imaging spectroradiometer radiative transfer algorithms includes improved calibration for intra- and intersensor variations, partial atmospheric correction for gaseous absorption and scattering, and correction for stratospheric aerosol effects associated with volcanic eruptions. Results from our analysis suggest that anomalies of net primary production and net ecosystem production predicted from the NASA?CASA model over large areas of the Amazon region east of 60°W longitude are strongly correlated with the Southern Oscillation index. Extensive areas of the south-central Amazon show strong linkages of the FPAR and the NASA?CASA anomaly record to the Arctic Oscillation index, which help confirm a strong relation to southern Atlantic climate anomalies, with associated impacts on Amazon rainfall patterns. Processes are investigated for t... Mostrar Tudo |
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Palavras-Chave: |
Clima global; Fluxo de carbono; Modelo de ecossistema. |
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Categoria do assunto: |
-- |
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Marc: |
LEADER 02347naa a2200241 a 4500
001 1960652
005 2022-11-07
008 2004 bl uuuu u00u1 u #d
024 7 $a10.1111/j.1529-8817.2003.00752.x$2DOI
100 1 $aPOTTER, C.
245 $aUnderstanding global teleconnections of climate to regional model estimates of Amazon ecosystem carbon fluxes.$h[electronic resource]
260 $c2004
520 $aWe have investigated global teleconnections of climate to regional satellite-driven observations for prediction of Amazon ecosystem production, in the form of monthly estimates of net carbon exchange over the period 1982?1998 from the NASA?CASA (Carnegie?Ames?Stanford) biosphere model. This model is driven by observed surface climate and monthly estimates of vegetation leaf area index (LAI) and fraction of absorbed PAR (fraction of photosynthetically active radiation, FPAR) generated from the NOAA satellite advanced very high-resolution radiometer (AVHRR) and similar sensors. Land surface AVHRR data processing using modified moderate-resolution imaging spectroradiometer radiative transfer algorithms includes improved calibration for intra- and intersensor variations, partial atmospheric correction for gaseous absorption and scattering, and correction for stratospheric aerosol effects associated with volcanic eruptions. Results from our analysis suggest that anomalies of net primary production and net ecosystem production predicted from the NASA?CASA model over large areas of the Amazon region east of 60°W longitude are strongly correlated with the Southern Oscillation index. Extensive areas of the south-central Amazon show strong linkages of the FPAR and the NASA?CASA anomaly record to the Arctic Oscillation index, which help confirm a strong relation to southern Atlantic climate anomalies, with associated impacts on Amazon rainfall patterns. Processes are investigated for these teleconnections of global climate to Amazon ecosystem carbon fluxes and regional land surface climate.
653 $aClima global
653 $aFluxo de carbono
653 $aModelo de ecossistema
700 1 $aKLOOSTER, S.
700 1 $aSTEINBACH, M.
700 1 $aTAN, P.-N.
700 1 $aKUMAR, V.
700 1 $aSHEKHAR, S.
700 1 $aCARVALHO, C. R. de
773 $tGlobal Change Biology$gv. 10, n. 5, p. 693-703, May 2004.
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