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The influence of mixing on stratospheric age of air changes in the 21st century.
Eichinger, Roland; Dietmüller, Simone; Garny, Hella; Sácha, Petr; Birner, Thomas; Boenisch, Harald; Pitari, Giovanni; Visioni, Daniele; Stenke, Andrea; Rozanov, Eugene; Revell, Laura; Plummer, David A; Jöckel, Patrick; Oman, Luke; Deushi, Makoto; Kinnison, Douglas E; Garcia, Rolando; Morgenstern, Olaf; Zeng, Guang; Stone, Kane Adam; Schofield, Robyn.
Afiliação
  • Eichinger R; Ludwig Maximilians Universität, Meteorological Institute Munich, Munich, Germany.
  • Dietmüller S; Deutsches Zentrum für Luft- und Raumfahrt (DLR), Institut für Physik der Atmosphäre, Oberpfaffenhofen, Germany.
  • Garny H; Deutsches Zentrum für Luft- und Raumfahrt (DLR), Institut für Physik der Atmosphäre, Oberpfaffenhofen, Germany.
  • Sácha P; Deutsches Zentrum für Luft- und Raumfahrt (DLR), Institut für Physik der Atmosphäre, Oberpfaffenhofen, Germany.
  • Birner T; Ludwig Maximilians Universität, Meteorological Institute Munich, Munich, Germany.
  • Boenisch H; Faculty of Sciences, EPhysLab, Universidade de Vigo, Ourense, Spain.
  • Pitari G; Charles University Prague, Faculty of Mathematics and Physics, Department of Atmospheric Physics, Prague, Czech Republic.
  • Visioni D; Ludwig Maximilians Universität, Meteorological Institute Munich, Munich, Germany.
  • Stenke A; Karlsruhe Institute of Technology (KIT), Insitute of Meteorology and Climate Reasearch, Karlsruhe, Germany.
  • Rozanov E; Department of Physical and Chemical Sciences, Università dell'Aquila, L'Aquila, Italy.
  • Revell L; Department of Physical and Chemical Sciences and center of Excellence CETEMPS, Università dell'Aquila, L'Aquila, Italy.
  • Plummer DA; Institute for Atmospheric and Climate Science, ETH Zürich (ETHZ), Zürich, Switzerland.
  • Jöckel P; Institute for Atmospheric and Climate Science, ETH Zürich (ETHZ), Zürich, Switzerland.
  • Oman L; Physikalisch-Meteorologisches Observatorium Davos and World Radiation Center, Davos, Switzerland.
  • Deushi M; Bodeker Scientific, Christchurch, New Zealand.
  • Kinnison DE; School of Physical and Chemical Sciences, University of Canterbury, Christchurch, New Zealand.
  • Garcia R; Environment and Climate Change Canada, Climate Research Division, Montréal, QC, Canada.
  • Morgenstern O; Deutsches Zentrum für Luft- und Raumfahrt (DLR), Institut für Physik der Atmosphäre, Oberpfaffenhofen, Germany.
  • Zeng G; National Aeronautics and Space Administration Goddard Space Flight Center (NASA GSFC), Greenbelt, Maryland, USA.
  • Stone KA; Meteorological Research Institute (MRI), Tsukuba, Japan.
  • Schofield R; National Center for Atmospheric Research (NCAR), Boulder, Colorado, USA.
Atmos Chem Phys ; 19(2): 921-940, 2019 Jan.
Article em En | MEDLINE | ID: mdl-32793293
ABSTRACT
Climate models consistently predict an acceleration of the Brewer-Dobson circulation (BDC) due to climate change in the 21st century. However, the strength of this acceleration varies considerably among individual models, which constitutes a notable source of uncertainty for future climate projections. To shed more light upon the magnitude of this uncertainty and on its causes, we analyze the stratospheric mean age of air (AoA) of 10 climate projection simulations from the Chemistry Climate Model Initiative phase 1 (CCMI-I), covering the period between 1960 and 2100. In agreement with previous multi-model studies, we find a large model spread in the magnitude of the AoA trend over the simulation period. Differences between future and past AoA are found to be predominantly due to differences in mixing (reduced aging by mixing and recirculation) rather than differences in residual mean transport. We furthermore analyze the mixing efficiency, a measure of the relative strength of mixing for given residual mean transport, which was previously hypothesized to be a model constant. Here, the mixing efficiency is found to vary not only across models, but also over time in all models. Changes in mixing efficiency are shown to be closely related to changes in AoA and quantified to roughly contribute 10% to the long-term AoA decrease over the 21st century. Additionally, mixing efficiency variations are shown to considerably enhance model spread in AoA changes. To understand these mixing efficiency variations, we also present a consistent dynamical framework based on diffusive closure, which highlights the role of basic state potential vorticity gradients in controlling mixing efficiency and therefore aging by mixing.

Texto completo: 1 Base de dados: MEDLINE Tipo de estudo: Prognostic_studies Idioma: En Ano de publicação: 2019 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Tipo de estudo: Prognostic_studies Idioma: En Ano de publicação: 2019 Tipo de documento: Article