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Transient climate changes in a perturbed parameter ensemble of emissions-driven earth system model simulations
- 作者:James M. Murphy (1)
Ben B. B. Booth (1) Chris A. Boulton (2) Robin T. Clark (1) Glen R. Harris (1) Jason A. Lowe (1) David M. H. Sexton (1)
- 关键词:Climate change projections ; Ensemble methods ; Earth system modelling ; Uncertainty ; Model evaluation ; Observational constraints
- 刊名:Climate Dynamics
- 出版年:2014
- 出版时间:November 2014
- 年:2014
- 卷:43
- 期:9-10
- 页码:2855-2885
- 全文大小:2,000 KB
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Ben B. B. Booth (1) Chris A. Boulton (2) Robin T. Clark (1) Glen R. Harris (1) Jason A. Lowe (1) David M. H. Sexton (1)
1. Met Office Hadley Centre, FitzRoy Road, Exeter, EX1 3PB, UK 2. College of Life and Environmental Sciences, University of Exeter, Prince of Wales Road, Exeter, EX4 4PS, UK
- ISSN:1432-0894
文摘
We describe results from a 57-member ensemble of transient climate change simulations, featuring simultaneous perturbations to 54 parameters in the atmosphere, ocean, sulphur cycle and terrestrial ecosystem components of an earth system model (ESM). These emissions-driven simulations are compared against the CMIP3 multi-model ensemble of physical climate system models, used extensively to inform previous assessments of regional climate change, and also against emissions-driven simulations from ESMs contributed to the CMIP5 archive. Members of our earth system perturbed parameter ensemble (ESPPE) are competitive with CMIP3 and CMIP5 models in their simulations of historical climate. In particular, they perform reasonably well in comparison with HadGEM2-ES, a more sophisticated and expensive earth system model contributed to CMIP5. The ESPPE therefore provides a computationally cost-effective tool to explore interactions between earth system processes. In response to a non-intervention emissions scenario, the ESPPE simulates distributions of future regional temperature change characterised by wide ranges, and warm shifts, compared to those of CMIP3 models. These differences partly reflect the uncertain influence of global carbon cycle feedbacks in the ESPPE. In addition, the regional effects of interactions between different earth system feedbacks, particularly involving physical and ecosystem processes, shift and widen the ESPPE spread in normalised patterns of surface temperature and precipitation change in many regions. Significant differences from CMIP3 also arise from the use of parametric perturbations (rather than a multimodel ensemble) to represent model uncertainties, and this is also the case when ESPPE results are compared against parallel emissions-driven simulations from CMIP5 ESMs. When driven by an aggressive mitigation scenario, the ESPPE and HadGEM2-ES reveal significant but uncertain impacts in limiting temperature increases during the second half of the twenty-first century. Emissions-driven simulations create scope for development of errors in properties that were previously prescribed in coupled ocean–atmosphere models, such as historical CO2 concentrations and vegetation distributions. In this context, historical intra-ensemble variations in the airborne fraction of CO2 emissions, and in summer soil moisture in northern hemisphere continental regions, are shown to be potentially useful constraints, subject to uncertainties in the relevant observations. Our results suggest that future climate-related risks can be assessed more comprehensively by updating projection methodologies to support formal combination of emissions-driven perturbed parameter and multi-model earth system model simulations with suitable observational constraints. This would provide scenarios underpinned by a more complete representation of the chain of uncertainties from anthropogenic emissions to future climate outcomes.
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