I’m trying to visualize time-varying grid data with the Warp by scalar filter, but I noticed that the filter was not applicable. So I’m thinking can this filter be used on time-varying data or not? Since I used this once on other data which has no timesteps and it worked well. If can’t, is there any other approach to achieve the similar result? (And my data shape is 208616361 with 240 timesteps.) Thanks!
The following screenshot was using Warp by scalar on elevation grid data.