OMB Individually Reported
Willamette Regional IWAAs, gradient boosted ML stream temperature modeling.
Low riskExact public inventory row
Description
Improve model predictions of stream temperature across the basin over traditional methods.
Detailed example
The AI system outputs daily modeled stream temperatures.
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
The expected benefits and outcomes are improved stream temperature predictions, which is a cornerstone of the integrated water availability assessment for the region, and methods that are transferable across the basin.
Controls / human review
ATO: No; PIA: Not published
Data needed
We are using publicly available stream temperature to train the model and a variety of hydroclimatic datasets to force the model.