The FAO (UN Food and Agriculture Organisation) and other international organisations make global food security forecasts based on climate predictions and global and political developments to help countries plan ahead. But current weather and climate models are neither sufficiently accurate nor detailed in longer-term predictions. Also, the analysts need to combine information from various sources. The work is time-consuming and tedious. The next generation of environmental models could tackle this problem in a more automated way, according to Doblas Reyes. Not only for agriculture and food security but for all other sectors affected by weather, climate fluctuations, natural disasters, but also human activity. One such next-generation environmental modelling project hoping to tackle this challenge is Destination Earth. Launched in 2020, this is an ambitious endeavour spearheaded by the European Commission, which aims to develop an environmental super-model, a digital replica of the entire system of the planet including human activity. The model, also called a digital twin Earth, would rely on well-established methodologies of weather and climate forecasting but take these technologies one step further. It will weave together cutting-edge climate simulations with information about all other aspects of the Earth's system gathered by sensors in space, on the ground, underground, as well as under water to effectively simulate the proverbial `butterfly wing' effect, the impact of seemingly minor regional events across the planet.