Emulating IPCC AR4 atmosphere-ocean and carbon cycle models for projecting global-mean, hemispheric and land/ocean temperatures: MAGICC 6.0

نویسندگان

  • M. Meinshausen
  • T. M. L. Wigley
چکیده

1 Potsdam Institute for Climate Impact Research (PIK), Potsdam, Germany 2 Manchester Metropolitan University (MMU), Manchester, UK 3 National Center for Atmospheric Research (NCAR), Boulder, CO, USA Received: 20 December 2007 – Accepted: 6 January 2008 – Published: 27 March 2008 Correspondence to: M. Meinshausen ([email protected]) Published by Copernicus Publications on behalf of the European Geosciences Union.

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Interactive comment on “Emulating IPCC AR4 atmosphere-ocean and carbon cycle models for projecting global-mean, hemispheric and land/ocean temperatures: MAGICC 6.0” by M. Meinshausen et al

very late, beyond the standard turnaround times for ACP. Nevertheless, we believe that this comprehensive model documentation and application is of considerable interest for future applications of MAGICC, which is why we would like to ask the editors and reviewers to accept our sincere apologies for this lateness. In the course of the two years, the described model parameterisations have been s...

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Interactive comment on “Emulating IPCC AR4 atmosphere-ocean and carbon cycle models for projecting global-mean, hemispheric and land/ocean temperatures: MAGICC 6.0” by M. Meinshausen et al

There are, however, three major revisions that we have implemented: a) We followed the recommendation of reviewer 3, and split up the paper into two, a “model description and calibration” paper (Part I) and an “application” paper (Part II). b) We have updated the application examples. We noted previously the potential future use of MAGICC for forthcoming intercomparison exercises. MAGICC has in...

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Emulating atmosphere-ocean and carbon cycle models with a simpler model, MAGICC6 – Part 2: Applications

Intercomparisons of coupled atmosphere-ocean general circulation models (AOGCMs) and carbon cycle models are important for galvanizing our current scientific knowledge to project future climate. Interpreting such intercomparisons faces major challenges, not least because different models have been forced with different sets of forcing agents. Here, we show how an emulation approach with MAGICC6...

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تاریخ انتشار 2008