OMB Individually Reported
Parameter estimation, emulator building, model tuning and sensitivity analysis of the ocean carbon cycle using ML
Low riskExact public inventory row
Description
This work explores neural networks and other ML techniques for Earth Science topics and data sets related to global carbon cycle, ocean circulation, air-sea interactions and climate variability.
Detailed example
Predictions
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
Parameter estimation, emulator building, model tuning and sensitivity analysis of the ocean carbon cycle using ML
Controls / human review
ATO: Not reported; PIA: Not published