These are all very exciting challenges to tackle but they require pushing the boundaries of what we know how to do as scientists and computer scientists. This means we have to always think outside the box about how to do things we have never done before.
There are many applications of supercomputing for wildfire modeling and for modeling other phenomena related to extreme weather to help with disaster mitigation, response and recovery. For example, we can use similar approaches to model crop yields, floods, and landslides. To do work in this space, it is important to be able to understand practical and important societal problems and how we can connect advances in science, data science & AI, software engineering, and computing to find solutions to these problems. This kind of work requires specialization, but it also requires the ability to work with people from many different sectors and domains and build new solutions to important problems.
