The rapid growth of climate research provides an unprecedented evidence base for observing the impacts of climate change across the globe.
However, the sheer volume of published studies means attempting to evaluate it as a whole makes for a daunting challenge.
In our new study, published in Nature Climate Change, we used machine-learning approaches to assess, classify and map more than 100,000 peer-reviewed studies on climate impacts.
Our findings show that the influence of human-caused warming on average temperature and rainfall can already be felt for 85% of the world’s population and 80% of the world’s area.
The results also highlight an “attribution gap” between countries in the global north and south, due to a relative lack of research on climate impacts in less-developed countries.