Hydroinformatics Instruction Module Example Code: Programmatic Data Access with USGS Data Retrieval

This resource contains Jupyter Notebooks with examples for accessing USGS NWIS data via web services and performing subsequent analysis related to drought with particular focus on sites in Utah and the southwestern United States (could be modified to any USGS sites). The code uses the Python DataRetrieval package. The resource is part of set of materials for hydroinformatics and water data science instruction. Complete learning module materials are found in HydroLearn: Jones, A.S., Horsburgh, J.S., Bastidas Pacheco, C.J. (2022). Hydroinformatics and Water Data Science. HydroLearn. https://edx.hydrolearn.org/courses/course-v1:USU+CEE6110+2022/about.

This resources consists of 6 example notebooks:
1. Example 1: Import and plot daily flow data
2. Example 2: Import and plot instantaneous flow data for multiple sites
3. Example 3: Perform analyses with USGS annual statistics data
4. Example 4: Retrieve data and find daily flow percentiles
3. Example 5: Further examination of drought year flows
6. Coding challenge: Assess drought severity