Scientists modeled the evolution of the suitability of different areas across California for wine grapes over the 21st century, using two IPCC emission scenarios. They then used the projected local climate to calculate the wildfire weather index, which tracks the changing weather conditions that trigger wildfires. They also estimated the expected quality of the wine with a machine learning model trained on vintage rankings by professional tasters. They showed that established regions including Napa and Sonoma are likely to become less suitable, while others like Mendocino and Monterey are projected to become ideal due to warming and a reduced local climate inducing wildfires.