No surprises here. If it is out of distribution it will be hard to predict with ML (AI). Increasingly the weather will slide in a permanent state of being "out of distribution".
Obviously, you can always continuously fine tune the model but then it loses a part of its cost advantage. Augmentation techniques, based upon simulated scenarios of state of the art physical models could help.