  Physical simulations produce excellent predictions of weather effects. Neural
radiance fields produce SOTA scene models. We describe a novel NeRF-editing
procedure that can fuse physical simulations with NeRF models of scenes,
producing realistic movies of physical phenomena in those scenes. Our
application -- Climate NeRF -- allows people to visualize what climate change
outcomes will do to them. ClimateNeRF allows us to render realistic weather
effects, including smog, snow, and flood. Results can be controlled with
physically meaningful variables like water level. Qualitative and quantitative
studies show that our simulated results are significantly more realistic than
those from SOTA 2D image editing and SOTA 3D NeRF stylization.

Computer Vision and Pattern Recognition;Graphics