OMB Individually Reported
Nominal Forecast Sub System for the NASA Coastal Zone Digital Twin
Low riskExact public inventory row
Description
Development of ML based emulator for enabling what-now, what-next, and what-if analysis for flood and water quality indicators in the Chesapeake Bay, trained using Land Information System-modeled land surface variables
Detailed example
What-next and what-if predictions around flood and water quality use cases
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
Daily to subdaily forecasts of flooding and water quality indicators along the Chesapeake Bay and other US coasts
Controls / human review
ATO: Not reported; PIA: Not published