Nutrient, Salinity, sediment, temperature, and drought model development
Description
Simulate nutrients (phosphorus and nitrate), temperature, sediment, and salinity in streams across the U.S.
Detailed example
Digital datasets of nutrients (phosphorus and nitrate), temperature, sediment, and salinity in streams across the U.S. and prototype streamflow drought forecasts
AI / analytics pattern
Classical/Predictive Machine Learning: Models trained on data to make predictions or classifications based on identified patterns or relationships.
Automation level / stage
a) Pre-deployment – The use case is in a development or acquisition status.
Expected benefit
Includes prototype streamflow drought forecasts using data-driven, machine learning approaches for USGS gage locations across continental U.S. Provides model results on water quality aspects to meet agency mission of assessing water availability
Controls / human review
ATO: No; PIA: Not published