One of the characteristics of the present climate change on Earth is that weather events (storms, heat waves, maximum and minimum temperatures, start of seasons

One of the characteristics of the present climate change on Earth is that weather events (storms, heat waves, maximum and minimum temperatures, start of seasons) display a lot more variability, and consequently also a lot more extremes than in the recent past. This is already happening. If you train a weather model ML on past weather data, which has reduced variability, and use it to predict future weather, it is possible that it under predicts variability of weather variables (amount of expected rainfall, maximum temperature tomorrow etc). Variance not mean. I say "it is possible" because only rigorous modeling can tell us the truth. Which is why I asked the question originally. I don't think it can be denied by abstract arguments.