E Bucsela
Biographic Data
| ID | 10508442 |
|---|---|
| NAME | E Bucsela |
| GIVEN NAMES | E |
| FAMILY NAME | Bucsela |
| SIGNATURE | BUCSELA E |
| ORCID | 0000-0003-3646-3907 |
| 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…
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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)