Matthew Bandel
Biographic Data
| ID | 8001183 |
|---|---|
| NAME | Matthew Bandel |
| GIVEN NAMES | Matthew |
| FAMILY NAME | Bandel |
| SIGNATURE | BANDEL M |
| AFFILIATIONS | Goddard Space Flight Center |
| ORCID | 0009-0005-4988-4534 |
| VERIFIED | Yes |
| TOTAL WORKS | 1 |
| TOTAL CITATIONS | 0 |
| AUTHOR COUNT | 1 |
| EDITOR COUNT | 0 |
| FIRST PUBLICATION YEAR | 2025 |
| LATEST PUBLICATION YEAR | 2025 |
| H-INDEX | 0 |
Utilizing machine learning for high resolution NO 2 total columns from Pace OCI
Satellite-based observations of nitrogen dioxide (NO 2 ) are important for monitoring atmospheric composition, estimating nitrogen oxide emissions, and informing chemistry transport models. While advancements have been made in space-based NO 2 observations and retrievals, most measurements are still unable to resolve the detailed structure of NO 2 plumes. Designed primarily for aerosol and ocean applications, the plankton, aerosol, cloud, ocean e…
No prominent works on this page.
Utilizing machine learning for high resolution NO 2 total columns from Pace OCI
Satellite-based observations of nitrogen dioxide (NO 2 ) are important for monitoring atmospheric composition, estimating nitrogen oxide emissions, and informing chemistry transport models. While advancements have been made in space-based NO 2 observations and retrievals, most measurements are still unable to resolve the detailed structure of NO 2 plumes. Designed primarily for aerosol and ocean applications, the plankton, aerosol, cloud, ocean e…
Air Quality Monitoring and Forecasting (1 works) · Artificial Intelligence (1 works) · Atmospheric and Environmental Gas Dynamics (1 works) · Computer Science (1 works) · Geodesy (1 works) · Geography (1 works) · High resolution (1 works) · Machine learning (1 works) · Pace (1 works) · Remote sensing (1 works)