As computer simulations of complex physical interactions grow, so do the time and expense required to operate them. Mirroring the development of such full-scale models has been the related field of surrogate modeling or metamodeling. Surrogate models take a variety of forms, but their shared goal is to provide a numerical output similar to that of a fully complex physical model while minimizing the computational time and cost required to calculate the result. With an eye toward introducing those unfamiliar with the practices and pitfalls of surrogate modeling to the topic and with a focus on its applications to water resources research, Razavi et al. prepared a systematic review of the surrogate modeling literature.