commentary Acts of God, human influence and litigation Sophie Marjanac, Lindene Patton and James Thornton Developments in attribution science are improving our ability to detect human influence on extreme weather events. By implication, the legal duties of government, business and others to manage foreseeable harms are broadening, and may lead to more climate change litigation. A dvances in the science of extreme weather event attribution have the potential to change the legal landscape in novel ways. Identifying the human influence in events once known as ‘acts of God’ is likely to inform litigation relating to claims and liability for damages. Attribution science is also leading to better predictions of the expected severity of certain types of weather-related natural disasters. Such a shift in our understanding of extreme events could have legal implications for decision-makers with a duty to manage foreseeable harm and plan for the future. Litigation may play an important role in reducing greenhouse gas emissions in the absence of enforceable commitments from government1. Despite the shifting sands of climate politics — or perhaps because of them — the courts are being asked to play an increasing role in apportioning responsibility for loss and damage resulting from climate change2. Improvements in attribution science are affirming the foreseeability of certain climatic events and patterns in specific locations, and in identifying increasing risks of consequential impacts on property, physical assets and people. Such improvements are key from a legal point of view, because foreseeability of damage is an important requirement to establish a duty of care in many legal systems. Determining the foreseeability of an action, event or loss may therefore inform common-law-based litigation related to directors’ and officers’ liability, professional, sovereign, premises and product liability, and more. The question is not whether there will be another wave of climate-related litigation — the wave is already in motion. The question instead is whether it will be more successful than previous efforts3. We expect that evidence from attribution science will catalyse future climate change litigation. Such cases are likely to involve 616 actors such as local government agencies, built-environment professionals, and companies and their directors alleged to have had duties of care or special knowledge about specific climate-related risk (Box 1). Claims are likely to arise when those actors fail to share or disclose relevant knowledge, or fail to take adaptation actions that would have protected those to whom they owed a duty of care. Such litigation may become an important driver of both mitigation of greenhouse gas emissions and adaptive action by both public and private sectors. Attribution science Probabilistic event attribution is the science of seeking to determine the extent to which anthropogenic climate change has altered the probability or intensity of a particular weather event or class of weather events, with an assignment of statistical confidence4. Existing methodologies have been deemed robust by the National Academy of Sciences, though uncertainties remain and confidence is far higher in studies of extreme heat and cold events5. Event attribution is a relatively new discipline that developed in response to interest from outside the scientific community in the extent to which damaging extreme events can be attributed to humaninduced climate change or natural climatic variability, or both. The primary approach used is to compare the changes in the observed record over time with climate model simulations. The ‘real world’, defined through observations and models, is compared to a ‘counterfactual world’ modelled without human forcings (greenhouse gases and aerosols), an approach that allows isolation and analysis of the influence of anthropogenic factors. In 2004, an attribution study analysed the link between anthropogenic climate change and the 2003 European heatwave (Fig. 1)6. Since then, the conclusions of event attribution studies have become more confident — qualitatively and quantitatively — in their expression of the (probabilistic, not determinative) causal relationship between anthropogenic greenhouse gas emissions and certain extreme weather events. In addition, the ability of scientists to differentiate between natural and human-caused drivers of temperature extremes, droughts and heavy rain events has improved markedly7. The soundness of the scientific conclusions are evaluated based on the three pillars of attribution science: the quality of the observational record; the ability of models to simulate the event being studied; and scientific understanding of the physical processes that drive the event and how they are being impacted by climate change. It should be noted that all attribution studies express their findings in probabilistic terms, as scientists reject the notion that deterministic attribution of weather events is ever possible — because it is impossible to say that the event would ‘never’ have occurred in the ‘counterfactual’ world8. We wish to emphasize, however, that this does not diminish the utility of attribution science for the law and liability. In the UK, courts considering occupational exposure to toxic substances have accepted probabilistic evidence as proving causation when such evidence demonstrates that the risk of the event occurring was increased by a factor of 2:1, known as the doubling-of-the-risk test9–12. In the US, toxic tort litigation has adopted similar tests for situations where deterministic causation is impossible, known as proximate cause13–16. In addition, the law in civil cases accepts as proven any evidence that is shown to be correct ‘on the balance of probabilities’ or ‘more likely than not’ (that is, with certainty of >50%). Indeed, a British judge has stated: “…in the event that the epidemiological NATURE GEOSCIENCE | VOL 10 | SEPTEMBER 2017 | www.nature.com/naturegeoscience . d e v r e s e r s t h g i r l l A . e r u t a N r e g n i r p S f o t r a p , d e t i m i L s r e h s i l b u P n a l l i m c a M 7 1 0 2 ©

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