A new paper, published today in Nature Climate Change, documents unprecedented scientific evidence for human-induced climate impacts over at least 80 percent of the world's land area affecting at least 85 percent of the global population.
The scientists behind the paper devised a new research technique, utilising machine-learning models, to synthesise an unprecedented amount of 100,000 empirical studies with extensive model and observational data on temperature change and precipitation to provide a comprehensive, global picture of the impacts of human-induced climate change to date.
The study, “Machine learning-based evidence and attribution mapping of 100,000 climate impact studies”, was conducted under the guidance of two climate research institutes: Mercator Research Institute on Global Commons and Climate Change, and Climate Analytics.
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