Near-real-time aerosol retrievals from OMPS Limb Profiler measurements
Description
Rapid aerosol retrievals from OMPS Limb Profiler are important to monitor large wildfires and volcanic eruptions that reach the stratosphere. These near-real-time (NRT) retrievals can inform aviation safety and help coordinate ground-based and in situ measurements of these disruptive events. To enable NRT retrievals from OMPS Limb Profiler, we utilize neural networks trained on the operational physics-based data product, reducing the runtime to retrieve these aerosols from ~2 hours to ~2 minutes.
Detailed example
Predictions of aerosol extinction profiles between 0.5 - 40.5 km at 510, 600, 675, 745, 869, and 997 nm.
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
c) Deployed – The use case is being actively authorized or utilized to support the functions or mission of an agency.
Expected benefit
Sped up aerosol retrievals by ~60 times to enable rapid retrievals within 3 hours from acquisition, integrated imagery into NASA Worldview for quick assessment of disruptive events (volcanic eruptions, major wildfires) alongside related data products (e.g., OMPS SO2)
Controls / human review
ATO: Yes; PIA: Not published
Data needed
1. OMPS LP Level-1 gridded radiance data product at selected wavelengths and altitudes 2. OMPS LP Level-2 Aerosol data product 3. Atmospheric temperature and pressure profiles from Global Earth Observing System Forward Processing for Instrument Teams data product