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Carbon dioxide and climate impulse response functions for the computation of greenhouse gas metrics: a multi-model analysis 1Climate and Environmental Physics, Physics Institute, University of Bern, Bern, Switzerland 2Oeschger Centre for Climate Change Research, University of Bern, Bern, Switzerland 3Center for International Climate and Environmental Research – Oslo (CICERO), P.O. Box 1129 Blindern, 0318 Oslo, Norway 4MASCOS, 139 Barry St, The University of Melbourne, Vic 3010, Australia 5Potsdam Institute for Climate Impact Research, P.O. Box 601203, 14412 Potsdam, Germany 6Max Planck Institute for Meteorology, Bundesstr. 53, 20146 Hamburg, Germany 7Met Office Hadley Centre, FitzRoy Road, Exeter, EX1 3PB, UK 8School of Earth and Ocean Sciences, University of Victoria, Victoria, British Columbia, Canada 9The Open University, Milton Keynes, UK 10International Pacific Research Center, School of Ocean and Earth Science and Technology, University of Hawaii, 1680 East-West Rd. Honolulu, HI, USA 11AOS Program, Princeton University, Princeton, NJ, USA 12Department of Oceanography, School of Ocean and Earth Science and Technology, University of Hawaii, Honolulu, Hawaii, 96822, USA 13Department of Earth Sciences, University of Minnesota, Minneapolis, MN, USA 14School of Earth Sciences, The University of Melbourne, VIC, Australia 15New Zealand Agricultural Greenhouse Gas Research Centre, Palmerston North 4442, New Zealand 16Department of Geophysics, University of Concepcion, Chile 17Niels Bohr Institute, University of Copenhagen, Copenhagen, Denmark 18Institute for Atmospheric and Climate Science, ETH Zurich, Zurich, Switzerland Abstract. The responses of carbon dioxide (CO2) and other climate variables to an emission pulse of CO2 into the atmosphere are often used to compute the Global Warming Potential (GWP) and Global Temperature change Potential (GTP), to characterize the response time scales of Earth System models, and to build reduced-form models. In this carbon cycle-climate model intercomparison project, which spans the full model hierarchy, we quantify responses to emission pulses of different magnitudes injected under different conditions. The CO2 response shows the known rapid decline in the first few decades followed by a millennium-scale tail. For a 100 Gt C emission pulse, 24 ± 10% is still found in the atmosphere after 1000 yr; the ocean has absorbed 60 ± 18% and the land the remainder. The response in global mean surface air temperature is an increase by 0.19 ± 0.10 °C within the first twenty years; thereafter and until year 1000, temperature decreases only slightly, whereas ocean heat content and sea level continue to rise. Our best estimate for the Absolute Global Warming Potential, given by the time-integrated response in CO2 at year 100 times its radiative efficiency, is 92.7 × 10−15 yr W m−2 per kg CO2. This value very likely (5 to 95% confidence) lies within the range of (70 to 115) × 10−15 yr W m−2 per kg CO2. Estimates for time-integrated response in CO2 published in the IPCC First, Second, and Fourth Assessment and our multi-model best estimate all agree within 15%. The integrated CO2 response is lower for pre-industrial conditions, compared to present day, and lower for smaller pulses than larger pulses. In contrast, the response in temperature, sea level and ocean heat content is less sensitive to these choices. Although, choices in pulse size, background concentration, and model lead to uncertainties, the most important and subjective choice to determine AGWP of CO2 and GWP is the time horizon. Citation: Joos, F., Roth, R., Fuglestvedt, J. S., Peters, G. P., Enting, I. G., von Bloh, W., Brovkin, V., Burke, E. J., Eby, M., Edwards, N. R., Friedrich, T., Frölicher, T. L., Halloran, P. R., Holden, P. B., Jones, C., Kleinen, T., Mackenzie, F., Matsumoto, K., Meinshausen, M., Plattner, G.-K., Reisinger, A., Segschneider, J., Shaffer, G., Steinacher, M., Strassmann, K., Tanaka, K., Timmermann, A., and Weaver, A. J.: Carbon dioxide and climate impulse response functions for the computation of greenhouse gas metrics: a multi-model analysis, Atmos. Chem. Phys. Discuss., 12, 19799-19869, doi:10.5194/acpd-12-19799-2012, 2012. |
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