NASA · NASA-848 · record R0453

Near-real-time aerosol retrievals from OMPS Limb Profiler measurements

National Aeronautics and Space Administration · GSFC: Goddard Space Flight Center

Overview

Development stage: DeployedSource: c) Deployed – The use case is being actively authorized or utilized to support the functions or mission of an agency.
High-impact designation: Not high-impactSource: c) Not high-impact
Impact justification: Not reported
Start date: 2024-06-14 (day precision)Source: 06/14/2024 00:00:00
Withheld from public reporting: NoSource: a) No

Mission

Topic area: Science
Operational functions: No function tag matched Derived by keyword rules; see methodology

Problem the AI is intended to solve

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.

Expected benefits

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)

System outputs

Predictions of aerosol extinction profiles between 0.5 - 40.5 km at 510, 600, 675, 745, 869, and 997 nm.

Technology

AI classification: Classical / predictive MLSource: Classical/Predictive Machine Learning: Models trained on data to make predictions or classifications based on identified patterns or relatio…
System name(s): Atmospheric Chemistry Processing System (ACPS)
Custom-developed code: Yes
Public source code: Not reported

Sourcing

How it was built: Developed in-houseSource: b) Developed in-house
Vendor (as reported): Not reported
Vendors (standardized): None on the standard list

A vendor is the supplier named by the agency. It does not identify the underlying model or AI technology.

Data and privacy

Involves PII: No
Privacy Impact Assessment: Not reported
Authorization to Operate: Yes
Demographic features: Not reported
Training and evaluation data: 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
Federal Data Catalog: Not reported

Governance

0 of 8 minimum-practice questions answered. A blank answer means the agency reported nothing; it does not mean the practice is absent.

Pre-deployment testingNo answer reported

AI impact assessmentNo answer reported

Independent reviewNo answer reported

Ongoing monitoringNo answer reported

Operator trainingNo answer reported

Fail-safeNo answer reported

Appeal processNo answer reported

User and public consultationNo answer reported

Potential impacts and how they were identified

Not reported