OMB Individually Reported
Hydrologic predictions for the Upper Mississippi River System using a hybrid deep learning approach.
Low riskExact public inventory row
Description
Utilize historical datasets of air temperature, precipitation, discharge, and water surface elevation to train a deep learning model to predict discharge and water surface elevation across the Upper Mississippi River System.
Detailed example
predictions of discharge and water surface elevation
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
This model will be useful for filling gaps in the hydrologic record and understanding how changes in temperature and precipitation influence hydrology across the system.
Controls / human review
ATO: No; PIA: Not published