Large-sample hydrology lessons

The emergence of large-sample hydrology datasets has opened many new opportunities to derive more robust and more generalizable conclusions about hydrological processes and models. Here I showcase several examples of how large-sample hydrology can help unveil unknown hydrological behaviors, test and refine existing hypotheses, and challenge current modeling practices. Such advancements can include generating a better understanding of how climate, landscapes, and humans shape the diversity of hydrological conditions we encounter worldwide but can also focus on general emergent behaviors that are surprisingly similar between places. I also reflect on how large-sample hydrology datasets could evolve to become an even more productive playground for hydrology to advance.