Uncertainties and assessments of chemistry-climate models of the stratosphere

International audience In recent years a number of chemistry-climate models have been developed with an emphasis on the stratosphere. Such models cover a wide range of timescales of integration and vary considerably in complexity. The results of specific diagnostics are here analysed to examine the...

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Bibliographic Details
Main Authors: Austin, J., Shindell, D., Beagley, S. R., Brühl, C., Dameris, M., Manzini, E., Nagashima, T., Newman, P., Pawson, S., Pitari, G., Rozanov, E., Schnadt, C., Shepherd, T. G.
Other Authors: Meteorological Office, NASA Goddard Institute for Space Studies (GISS), NASA Goddard Space Flight Center (GSFC), York University Toronto, Max-Planck-Institut für Chemie (MPIC), Max-Planck-Gesellschaft, DLR Institut für Physik der Atmosphäre (IPA), Deutsches Zentrum für Luft- und Raumfahrt Oberpfaffenhofen-Wessling (DLR), Max-Planck-Institut für Meteorologie (MPI-M), Center for Climate System Research Kashiwa (CCSR), The University of Tokyo (UTokyo), Goddard Earth Sciences and Technology Center (GEST), University of Maryland Baltimore County (UMBC), University of Maryland System-University of Maryland System, Dipartimento di Fisica L'Aquila, Università degli Studi dell'Aquila = University of L'Aquila (UNIVAQ), PMOD-WRC/ IAC ETH, Department of Physics Toronto, University of Toronto
Format: Article in Journal/Newspaper
Language:English
Published: HAL CCSD 2002
Subjects:
Online Access:https://hal.science/hal-00303824
https://hal.science/hal-00303824/document
https://hal.science/hal-00303824/file/acpd-2-1035-2002.pdf
Description
Summary:International audience In recent years a number of chemistry-climate models have been developed with an emphasis on the stratosphere. Such models cover a wide range of timescales of integration and vary considerably in complexity. The results of specific diagnostics are here analysed to examine the differences amongst individual models and observations, to assess the consistency of model predictions, with a particular focus on polar ozone. For example, many models indicate a significant cold bias in high latitudes, the 'cold pole problem', particularly in the southern hemisphere during winter and spring. This is related to wave propagation from the troposphere which can be improved by improving model horizontal resolution and with the use of non-orographic gravity wave drag. As a result of the widely differing modeled polar temperatures, different amounts of polar stratospheric clouds are simulated which in turn result in varying ozone values in the models. The results are also compared to determine the possible future behaviour of ozone, with an emphasis on the polar regions and mid-latitudes. All models predict eventual ozone recovery, but give a range of results concerning its timing and extent. Differences in the simulation of gravity waves and planetary waves as well as model resolution are likely major sources of uncertainty for this issue. In the Antarctic, the ozone hole has probably reached almost its deepest although the vertical and horizontal extent of depletion may increase slightly further over the next few years. According to the model results, Antarctic ozone recovery could begin any year within the range 2001 to 2008. For the Arctic, most models indicate that small ozone losses may continue for a few more years and that recovery could begin any year within the range 2004 to 2019. The start of ozone recovery in the Arctic is therefore expected to appear later than in the Antarctic in most models. Further, interannual variability will tend to mask the signal for longer in the Arctic than in the ...