Hydrologic Statistics and Data Analysis (M1)

This resource contains a Jupyter Notebook that is used to introduce hydrologic data analysis and conservation laws. This resource is part of a HydroLearn Physical Hydrology learning module available at https://edx.hydrolearn.org/courses/course-v1:Utah_State_University+CEE6400+2019_Fall/about

In this activity, the student learns how to (1) navigate public websites and databases, extract key watershed attributes, and perform basic hydrologic data analysis for a watershed of interest; (2) assess, compare, and interpret hydrologic trends in the context of a specific watershed.

Learners use Python to access streamflow data from the U.S. Geological Survey (USGS) through the new modernized USGS API endpoints, which follow Open Geospatial Consortium (OGC) standards, select a USGS streamflow gage, and apply hydrologic data analyses to the watershed of interest. We acknowledge that the material relies on USGS data that are only available within the U.S. For watersheds outside the U.S. or for use with other datasets, additional steps are required to prepare the streamflow data. Once a suitable streamflow time series dataset is obtained, it should be imported into the Python workspace before proceeding with the analyses in this module.