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AGU: Journal of Geophysical Research, Atmospheres

 

Keywords

  • chemistry-climate modeling
  • stratospheric ozone and climate
  • model evaluation

Index Terms

  • Atmospheric Processes: Climate change and variability
  • Atmospheric Processes: Middle atmosphere dynamics
  • Atmospheric Processes: Global climate models
  • Atmospheric Processes: Stratosphere/troposphere interactions
Abstract
Cited By (53)
 

Abstract

Assessment of temperature, trace species, and ozone in chemistry-climate model simulations of the recent past

V. Eyring

Institut für Physik der Atmosphäre, Deutsches Zentrum für Luft- und Raumfahrt, Oberpfaffenhofen, Wessling, Germany

N. Butchart

Climate Research Division, Met Office, Exeter, UK

D. W. Waugh

Department of Earth and Planetary Sciences, Johns Hopkins University, Baltimore, Maryland, USA

H. Akiyoshi

National Institute for Environmental Studies, Tsukuba, Japan

J. Austin

Geophysical Fluid Dynamics Laboratory, NOAA, Princeton, New Jersey, USA

S. Bekki

Service d'Aéronomie du Centre National de la Recherche Scientifique, Paris, France

G. E. Bodeker

National Institute of Water and Atmospheric Research, Lauder, New Zealand

B. A. Boville

National Center for Atmospheric Research, Boulder, Colorado, USA

C. Brühl

Max Planck Institut für Chemie, Mainz, Germany

M. P. Chipperfield

Institute for Atmospheric Science, University of Leeds, Leeds, UK

E. Cordero

Department of Meteorology, San Jose State University, San Jose, California, USA

M. Dameris

Institut für Physik der Atmosphäre, Deutsches Zentrum für Luft- und Raumfahrt, Oberpfaffenhofen, Wessling, Germany

M. Deushi

Meteorological Research Institute, Tsukuba, Japan

V. E. Fioletov

Environment Canada, Toronto, Ontario, Canada

S. M. Frith

Science Systems and Applications, Inc., Lanham, Maryland, USA

R. R. Garcia

National Center for Atmospheric Research, Boulder, Colorado, USA

A. Gettelman

National Center for Atmospheric Research, Boulder, Colorado, USA

M. A. Giorgetta

Max Planck Institut für Meteorologie, Hamburg, Germany

V. Grewe

Institut für Physik der Atmosphäre, Deutsches Zentrum für Luft- und Raumfahrt, Oberpfaffenhofen, Wessling, Germany

L. Jourdain

Service d'Aéronomie du Centre National de la Recherche Scientifique, Paris, France

D. E. Kinnison

National Center for Atmospheric Research, Boulder, Colorado, USA

E. Mancini

Dipartimento di Fisica, Università L'Aquila, L'Aquila, Italy

E. Manzini

Istituto Nazionale di Geofisica e Vulcanologia, Bologna, Italy

M. Marchand

Service d'Aéronomie du Centre National de la Recherche Scientifique, Paris, France

D. R. Marsh

National Center for Atmospheric Research, Boulder, Colorado, USA

T. Nagashima

National Institute for Environmental Studies, Tsukuba, Japan

P. A. Newman

NASA Goddard Space Flight Center, Greenbelt, Maryland, USA

J. E. Nielsen

Science Systems and Applications, Inc., Lanham, Maryland, USA

S. Pawson

NASA Goddard Space Flight Center, Greenbelt, Maryland, USA

G. Pitari

Dipartimento di Fisica, Università L'Aquila, L'Aquila, Italy

D. A. Plummer

Environment Canada, Toronto, Ontario, Canada

E. Rozanov

Physical-Meteorological Observatory/World Radiation Center, Davos, Switzerland

M. Schraner

Institute for Atmospheric and Climate Science, Eidgenössische Technische Hochschule, Zurich, Switzerland

T. G. Shepherd

Department of Physics, University of Toronto, Toronto, Ontario, Canada

K. Shibata

Meteorological Research Institute, Tsukuba, Japan

R. S. Stolarski

NASA Goddard Space Flight Center, Greenbelt, Maryland, USA

H. Struthers

National Institute of Water and Atmospheric Research, Lauder, New Zealand

W. Tian

Institute for Atmospheric Science, University of Leeds, Leeds, UK

M. Yoshiki

National Institute for Environmental Studies, Tsukuba, Japan

Simulations of the stratosphere from thirteen coupled chemistry-climate models (CCMs) are evaluated to provide guidance for the interpretation of ozone predictions made by the same CCMs. The focus of the evaluation is on how well the fields and processes that are important for determining the ozone distribution are represented in the simulations of the recent past. The core period of the evaluation is from 1980 to 1999 but long-term trends are compared for an extended period (1960–2004). Comparisons of polar high-latitude temperatures show that most CCMs have only small biases in the Northern Hemisphere in winter and spring, but still have cold biases in the Southern Hemisphere spring below 10 hPa. Most CCMs display the correct stratospheric response of polar temperatures to wave forcing in the Northern, but not in the Southern Hemisphere. Global long-term stratospheric temperature trends are in reasonable agreement with satellite and radiosonde observations. Comparisons of simulations of methane, mean age of air, and propagation of the annual cycle in water vapor show a wide spread in the results, indicating differences in transport. However, for around half the models there is reasonable agreement with observations. In these models the mean age of air and the water vapor tape recorder signal are generally better than reported in previous model intercomparisons. Comparisons of the water vapor and inorganic chlorine (Cly) fields also show a large intermodel spread. Differences in tropical water vapor mixing ratios in the lower stratosphere are primarily related to biases in the simulated tropical tropopause temperatures and not transport. The spread in Cly, which is largest in the polar lower stratosphere, appears to be primarily related to transport differences. In general the amplitude and phase of the annual cycle in total ozone is well simulated apart from the southern high latitudes. Most CCMs show reasonable agreement with observed total ozone trends and variability on a global scale, but a greater spread in the ozone trends in polar regions in spring, especially in the Arctic. In conclusion, despite the wide range of skills in representing different processes assessed here, there is sufficient agreement between the majority of the CCMs and the observations that some confidence can be placed in their predictions.

Received 21 March 2006; accepted 10 August 2006; published 23 November 2006.

Citation: Eyring, V., et al. (2006), Assessment of temperature, trace species, and ozone in chemistry-climate model simulations of the recent past, J. Geophys. Res., 111, D22308, doi:10.1029/2006JD007327.

Cited By

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