Joanna Joiner
Biographic Data
| ID | 6799105 |
|---|---|
| NAME | Joanna Joiner |
| GIVEN NAMES | Joanna |
| FAMILY NAME | Joiner |
| SIGNATURE | JOINER J |
| AFFILIATIONS | Atmospheric Chemistry and Dynamics Branch, NASA Goddard Space Flight Center, Greenbelt, Maryland |
| ORCID | 0000-0003-4278-1020 |
| VERIFIED | Yes |
| TOTAL WORKS | 2 |
| TOTAL CITATIONS | 0 |
| AUTHOR COUNT | 2 |
| EDITOR COUNT | 0 |
| FIRST PUBLICATION YEAR | 2011 |
| 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…
Merra
The Modern-Era Retrospective Analysis for Research and Applications (MERRA) was undertaken by NASA’s Global Modeling and Assimilation Office with two primary objectives: to place observations from NASA’s Earth Observing System satellites into a climate context and to improve upon the hydrologic cycle represented in earlier generations of reanalyses. Focusing on the satellite era, from 1979 to the present, MERRA has achieved its goals with signifi…
No prominent works on this page.
Merra
The Modern-Era Retrospective Analysis for Research and Applications (MERRA) was undertaken by NASA’s Global Modeling and Assimilation Office with two primary objectives: to place observations from NASA’s Earth Observing System satellites into a climate context and to improve upon the hydrologic cycle represented in earlier generations of reanalyses. Focusing on the satellite era, from 1979 to the present, MERRA has achieved its goals with signifi…
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…
Atmospheric and Environmental Gas Dynamics (2 works) · Computer Science (2 works) · Geography (2 works) · Air Quality Monitoring and Forecasting (1 works) · Artificial Intelligence (1 works) · Climate change (1 works) · Climate Forecast System (1 works) · Climate system (1 works) · Climate variability and models (1 works) · Climatology (1 works)