This resource presents a reproducible hydrologic and environmental data-analysis workflow developed by Abdulganiyu Jimoh using observations from the Logan River Observatory (LRO) in northern Utah. The analysis examines spatial and temporal variability in river discharge and water temperature across a longitudinal transect spanning contrasting hydrologic settings, from upstream mountain conditions to downstream and urban-influenced reaches.

The workflow applies exploratory data analysis, time-series analysis, statistical modeling, flow-duration analysis, smoothing and resampling, robust trend estimation, flashiness metrics, baseflow separation, recession analysis, and event-based hydrologic characterization. These methods are used to quantify flow variability, examine discharge–temperature relationships, characterize hydrologic extremes, and evaluate how hydrologic behavior changes along the river corridor.

Results demonstrate strong seasonal structure, an inverse relationship between discharge and water temperature, and differences in flow variability among monitoring locations. The analysis also examines downstream attenuation of hydrologic variability and watershed response characteristics. Together, these analyses provide a reproducible framework for examining spatially and temporally varying hydrologic conditions using continuous environmental observations.

The resource is designed to support transparent and reproducible hydrologic analysis and to provide a reusable computational framework for researchers, students, water-resource scientists, and other users working with environmental monitoring data. The underlying observations are associated with the Logan River Observatory; this resource documents the analytical workflow, processing, visualization, and interpretation applied to those observations.

This public resource contributes an openly accessible computational example of how continuous hydrologic observations can be transformed into interpretable information about watershed behavior, variability, and environmental conditions.