I agree that disturbance data should be included in training the model and in running predictions, and that's something we are working on. What we have so far is just the first iteration of the wildfire model. That said, 86% of the area in the 11 contiguous western states (which is the region we're focused on) has not been burnt in the 1992-2020 timeframe for which we have data, and some of the fires since 1992 are repeat fires in the same general area. Overall, we are probably good on close to 90% of the land area, but can certainly improve our modeling to take into account all types of disturbances (from past years as well as statistically in future years before the next fire occurs at a location).