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A joint role for forced and internally-driven variability in the decadal modulation of global warming.
Liguori, Giovanni; McGregor, Shayne; Arblaster, Julie M; Singh, Martin S; Meehl, Gerald A.
Afiliação
  • Liguori G; ARC Centre of Excellence for Climate Extremes, School of Earth, Atmosphere and Environment, Monash University, Melbourne, VIC, Australia. giovanni.liguori@monash.edu.
  • McGregor S; ARC Centre of Excellence for Climate Extremes, School of Earth, Atmosphere and Environment, Monash University, Melbourne, VIC, Australia.
  • Arblaster JM; ARC Centre of Excellence for Climate Extremes, School of Earth, Atmosphere and Environment, Monash University, Melbourne, VIC, Australia.
  • Singh MS; National Center for Atmospheric Research, Boulder, CO, USA.
  • Meehl GA; ARC Centre of Excellence for Climate Extremes, School of Earth, Atmosphere and Environment, Monash University, Melbourne, VIC, Australia.
Nat Commun ; 11(1): 3827, 2020 07 31.
Article em En | MEDLINE | ID: mdl-32737325
Despite the observed monotonic increase in greenhouse-gas concentrations, global mean temperature displays important decadal fluctuations typically attributed to both external forcing and internal variability. Here, we provide a robust quantification of the relative contributions of anthropogenic, natural, and internally-driven decadal variability of global mean sea surface temperature (GMSST) by using a unique dataset consisting of 30-member large initial-condition ensembles with five Earth System Models (ESM-LE). We present evidence that a large fraction (~29-53%) of the simulated decadal-scale variance in individual timeseries of GMSST over 1950-2010 is externally forced and largely linked to the representation of volcanic aerosols. Comparison with the future (2010-2070) period suggests that external forcing provides a source of additional decadal-scale variability in the historical period. Given the unpredictable nature of future volcanic aerosol forcing, it is suggested that a large portion of decadal GMSST variability might not be predictable.

Texto completo: 1 Base de dados: MEDLINE Idioma: En Ano de publicação: 2020 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Idioma: En Ano de publicação: 2020 Tipo de documento: Article