OMB Individually Reported
The AQcGAN Air Quality Emulator for GEOS
Low riskExact public inventory row
Description
AQcGAN is an air quality emulator for surface O3 and NOx concentrations.
Detailed example
The emulator utilizes a convolutional generative adversarial network (cGAN) to predict sequential time steps of selected air quality tracers.
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
AQcGAN is an air quality emulator for surface O3 and NOx concentrations.
Controls / human review
ATO: Not reported; PIA: Not published