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Quantification of the Arctic Sea Ice-Driven Atmospheric Circulation Variability in Coordinated Large Ensemble Simulations.
Liang, Yu-Chiao; Kwon, Young-Oh; Frankignoul, Claude; Danabasoglu, Gokhan; Yeager, Stephen; Cherchi, Annalisa; Gao, Yongqi; Gastineau, Guillaume; Ghosh, Rohit; Matei, Daniela; Mecking, Jennifer V; Peano, Daniele; Suo, Lingling; Tian, Tian.
Afiliación
  • Liang YC; Woods Hole Oceanographic Institution Woods Hole MA USA.
  • Kwon YO; Woods Hole Oceanographic Institution Woods Hole MA USA.
  • Frankignoul C; Woods Hole Oceanographic Institution Woods Hole MA USA.
  • Danabasoglu G; Sorbonne Université, CNRS/IRD/MNHN, UMR LOCEAN Paris France.
  • Yeager S; National Center for Atmospheric Research Boulder CO USA.
  • Cherchi A; National Center for Atmospheric Research Boulder CO USA.
  • Gao Y; Fondazione Centro Euro-Mediterraneo sui Cambiamenti Climatici Bologna Italy.
  • Gastineau G; Istituto Nazionale di Geofisica e Vulcanologia Bologna Italy.
  • Ghosh R; Nansen Environmental and Remote Sensing Center and Bjerknes Center for Climate Research Bergen Norway.
  • Matei D; Nansen-Zhu International Research Center, Institute of Atmospheric Physics Chinese Academy of Sciences Beijing China.
  • Mecking JV; Sorbonne Université, CNRS/IRD/MNHN, UMR LOCEAN Paris France.
  • Peano D; Max Planck Institute for Meteorology Hamburg Germany.
  • Suo L; Max Planck Institute for Meteorology Hamburg Germany.
  • Tian T; Ocean and Earth Science, National Oceanography Centre Southampton University of Southampton Southampton UK.
Geophys Res Lett ; 47(1): e2019GL085397, 2020 Jan 16.
Article en En | MEDLINE | ID: mdl-32713972
ABSTRACT
A coordinated set of large ensemble atmosphere-only simulations is used to investigate the impacts of observed Arctic sea ice-driven variability (SIDV) on the atmospheric circulation during 1979-2014. The experimental protocol permits separating Arctic SIDV from internal variability and variability driven by other forcings including sea surface temperature and greenhouse gases. The geographic pattern of SIDV is consistent across seven participating models, but its magnitude strongly depends on ensemble size. Based on 130 members, winter SIDV is ~0.18 hPa2 for Arctic-averaged sea level pressure (~1.5% of the total variance), and ~0.35 K2 for surface air temperature (~21%) at interannual and longer timescales. The results suggest that more than 100 (40) members are needed to separate Arctic SIDV from other components for dynamical (thermodynamical) variables, and insufficient ensemble size always leads to overestimation of SIDV. Nevertheless, SIDV is 0.75-1.5 times as large as the variability driven by other forcings over northern Eurasia and Arctic.

Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Tipo de estudio: Prognostic_studies Idioma: En Revista: Geophys Res Lett Año: 2020 Tipo del documento: Article

Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Tipo de estudio: Prognostic_studies Idioma: En Revista: Geophys Res Lett Año: 2020 Tipo del documento: Article