Carbon-concentration and carbon-climate feedbacks in CMIP6 models, and their comparison to CMIP5 models
Arora, Vivek; Katavouta, Anna ORCID: https://orcid.org/0000-0002-1587-4996; Williams, Richard; Jones, Chris; Brovkin, Victor; Friedlingstein, Pierre. 2020 Carbon-concentration and carbon-climate feedbacks in CMIP6 models, and their comparison to CMIP5 models. In: EGU General Assembly 2020, Online, 4-8 May 2020.
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Abstract/Summary
Results from the fully-, biogeochemically-, and radiatively-coupled simulations in which CO2 increases at a rate of 1% per year (1pctCO2) from its pre-industrial value are analyzed to quantify the magnitude of two feedback parameters which characterize the coupled carbon-climate system. These feedback parameters quantify the response of ocean and terrestrial carbon pools to changes in atmospheric CO2 concentration and the resulting change in global climate. The results are based on eight comprehensive Earth system models from the fifth Coupled Model Intercomparison Project (CMIP5) and eleven models from the sixth CMIP (CMIP6). The comparison of model results from two CMIP phases shows that, for both land and ocean, the model mean values of the feedback parameters and their multi-model spread has not changed significantly across the two CMIP phases. The absolute values of feedback parameters are lower for land with models that include a representation of nitrogen cycle. The sensitivity of feedback parameters to the three different ways in which they may be calculated is shown and, consistent with existing studies, the most relevant definition is that calculated using results from the fully- and biogeochemically-coupled configurations. Based on these two simulations simplified expressions for the feedback parameters are obtained when the small temperature change in the biogeochemically-coupled simulation is ignored. Decomposition of the terms of these simplified expressions for the feedback parameters allows identification of the reasons for differing responses among ocean and land carbon cycle models.
Item Type: | Publication - Conference Item (Paper) |
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Digital Object Identifier (DOI): | 10.5194/egusphere-egu2020-6124 |
Date made live: | 02 Oct 2020 12:52 +0 (UTC) |
URI: | https://nora.nerc.ac.uk/id/eprint/528573 |
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