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Butchart, N.
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Butchart, N.
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- PublicationRestrictedAssessment of temperature, trace species, and ozone in chemistry-climate model simulations of the recent past(2006)
; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ;Eyring, V.; Institut fu¨ r Physik der Atmospha¨re, Deutsches Zentrum fu¨ r Luft- und Raumfahrt, Oberpfaffenhofen, Wessling, Germany ;Butchart, N.; Climate Research Division, Met Office, Exeter, UK. ;Waugh, D. W.; Department of Earth and Planetary Sciences, Johns Hopkins University, Baltimore, Maryland, USA. ;Akiyoshi, H.; National Institute for Environmental Studies, Tsukuba, Japan. ;Austin, J.; Geophysical Fluid Dynamics Laboratory, NOAA, Princeton, New Jersey, USA. ;Bekki, S.; Service d’Ae´ronomie du Centre National de la Recherche Scientifique, Paris, France. ;Bodeker, G. E.; National Institute of Water and Atmospheric Research, Lauder, New Zealand. ;Boville, B.; National Center for Atmospheric Research, Boulder, Colorado, USA. ;Brühl, C.; Max Planck Institut fu¨ r Chemie, Mainz, Germany. ;Chipperfield, M.; Institute for Atmospheric Science, University of Leeds, Leeds, UK. ;Cordero, E.; Department of Meteorology, San Jose State University, San Jose, California, USA. ;Dameris, M.; Institut fu¨ r Physik der Atmospha¨re, Deutsches Zentrum fu¨ r Luft- und Raumfahrt, Oberpfaffenhofen, Wessling, Germany ;Frith, S. M.; Science Systems and Applications, Inc., Lanham, Maryland, USA. ;Garcia, A.; National Center for Atmospheric Research, Boulder, Colorado, USA. ;Gettelman, A.; National Center for Atmospheric Research, Boulder, Colorado, USA. ;Giorgetta, M.; Max Planck Institut fu¨ r Meteorologie, Hamburg, Germany. ;Grewe, V.; Institut fu¨ r Physik der Atmospha¨re, Deutsches Zentrum fu¨ r Luft- und Raumfahrt, Oberpfaffenhofen, Wessling, Germany ;Jourdain, L.; Service d’Ae´ronomie du Centre National de la Recherche Scientifique, Paris, France. ;Kinnison, D. E.; National Center for Atmospheric Research, Boulder, Colorado, USA. ;Manzini, E.; Istituto Nazionale di Geofisica e Vulcanologia, Sezione Bologna, Bologna, Italia; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; 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 total160 21 - PublicationRestrictedSimulations of anthropogenic change in the strength of the Brewer–Dobson circulation(2006)
; ; ; ; ; ; ; ; ; ; ; ; ;Butchart, N.; Met Office, FitzRoy Road, ;Scaife, A. A.; Hadley Centre, Met Office, ;Bourqui, M.; Department of Meteorology, University of Reading, Reading, UK ;de Grandpre, J.; McGill University, Montreal, Canada ;Hare, S. H. E.; Department of Meteorology, University of Reading, Reading, UK ;Kettleborough, J.; Rutherford Laboratory, British Atmospheric Data Centre, ;Langematz, U.; Freie Universita¨ t of Berlin, Berlin, Germany ;Manzini, E.; Istituto Nazionale di Geofisica e Vulcanologia, Sezione Bologna, Bologna, Italia ;Sassi, F.; National Center for Atmospheric Research,Boulder, CO, USA ;Shibata, K.; Meteorological Research Institute, Tsukuba, Japan ;Shindell, D.; NASA-Goddard Institute for Space Studies, New York, USA ;Sigmond, M.; University of Toronto, Toronto, Canada; ; ; ; ; ; ; ; ; ; ; The effect of climate change on the Brewer– Dobson circulation and, in particular, the large-scale seasonal-mean transport between the troposphere and stratosphere is compared in a number of middle atmosphere general circulation models. All the models reproduce the observed upwelling across the tropical tropopause balanced by downwelling in the extra tropics, though the seasonal cycle in upwelling in some models is more semi-annual than annual. All the models also consistently predict an increase in the mass exchange rate in response to growing greenhouse gas concentrations, irrespective of whether or not the model includes interactive ozone chemistry. The mean trend is 11 kt s–1 year–1 or about 2% per decade but varies considerably between models. In all but one of the models the increase in mass exchange occurs throughout the year though, generally, the trend is larger during the boreal winter. On average, more than 60% of the mean mass fluxes can be explained by the EP-flux divergence using the downward control principle. Trends in the annual mean mass fluxes derived from the EP-flux divergence also explain about 60% of the trend in the troposphere-to-stratosphere mass exchange rate when averaged over all the models. Apart from two models the interannual variability in the downward control derived and actual mass fluxes were generally well correlated, for the annual mean.172 26