  While extensive guidance exists for ensuring the reproducibility of one's own
study, there is little discussion regarding the reproduction and replication of
external studies within one's own research. To initiate this discussion,
drawing lessons from our experience reproducing an operational product for
predicting tropical cyclogenesis, we present a two-dimensional framework to
offer guidance on reproduction and replication. Our framework, representing
model fitting on one axis and its use in inference on the other, builds upon
three key aspects: the dataset, the metrics, and the model itself. By assessing
the trajectories of our studies on this 2D plane, we can better inform the
claims made using our research. Additionally, we use this framework to
contextualize the utility of benchmark datasets in the atmospheric sciences.
Our two-dimensional framework provides a tool for researchers, especially early
career researchers, to incorporate prior work in their own research and to
inform the claims they can make in this context.
