The region of space where most satellites orbit has weather systems that operate on radically different time scales and spatial scales compared to the surface weather. Understanding how the weather in the upper atmosphere changes is extremely complicated due to the fact that it is hard to measure the winds and temperature in this region. Satellites are quite expensive, so NASA can't just dedicate a huge number of these satellites to this science. Therefore, NASA needs to figure out the fewest number of satellites that can be launched and what orbits to put them in. The problem with this is that there is a lot of competition between which science to investigate. For example, do researchers focus on extreme polar weather, which can develop rapidly and can have global effects, but does not happen often, or global-scale weather systems that have a day-to-day effect, but are quite mild? The question is whether a single constellation mission can do both by evolving over time. In this talk, we use a global weather model to investigate this and show the trade-offs between the different mission phases.