USGS Tutorial on Python Tools for Surface Water Data Access, Processing, and Visualization
Day 3 Session 2 (1:30 PM)
Presenters:
Scott Hamshaw
The USGS National Water Information System (NWIS) is a vast data collection effort consisting of streamflow, water quality, and other water-centric sensor observations from around the country. NWIS stream monitoring observations provide near real-time gage height and corresponding flow rates for nearly 8,000 sites across the United States. In addition to near real-time observations, NWIS stream monitoring locations often provide a long-term data record of high temporal resolution data for use in historical analyses and hydrological model evaluation. In this workshop, we will use programmatic Python-based tools to access historical NWIS observations, perform common surface water data analyses (e.g., flow duration, percentile calculations), and visualize the outcomes.
Learning Outcomes:
- Use programmatic Python-based packages (hyswap and dataretrieval-python) to access historical NWIS observations, perform common analyses and computations, and visualize the outcomes.
Prerequisites: