A series of Jupyter notebooks describing the application of uniform manifold approximation and projection (UMAP) to streamflow in hydrologic catchments (examples given for Upper Colorado River Basin) and evaluation of manifolds from modeled and observational data. UMAP produces features that are robust, meaning the resulting images will look similar, even though the underlying data may be different. In these notebooks, we showcase how to convert one of these robust features into a robust metric.