Experimental Forecast for River Chlorophyll
Description
Forecast total chlorophyll concentrations in streams across various locations, part of the Ecological Forecasting Initiative (EFI) which is a collaboration between USGS and this research organization.
Detailed example
Predictions - near-term forecasts (up to 30 days in advance) of total stream chlorophyll with separate graphs for model drivers and their trends/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
b) Pilot – The use case has been deployed in a limited test or pilot capacity.
Expected benefit
Part of an experimental process to visualize stream forecasts for chlorophyll, improve model refinements, improve model accuracy, test understanding of drivers of harmful algal blooms.
Controls / human review
ATO: No; PIA: Not published
Data needed
Streamgage observational data and NOAA Global Ensemble Forecast System (GEFS). all publicly available data