A. M. da Silva
Papers
1
Total Citations
17
H-Index
1
About
A. M. da Silva is a leading figure in aerosol remote sensing and atmospheric reanalysis, whose work bridges satellite observations and global aerosol modeling. As a key contributor to the NASA Goddard Earth Observing System (GEOS-5), da Silva developed a radiative transfer interface that simulates the UV Aerosol Index (AI) from assimilated aerosol fields. This innovation, detailed in their highly cited 2014 study (17 citations), enables direct evaluation of the MERRA Aerosol Reanalysis against OMI satellite data, using both AI and Absorption Aerosol Optical Depth (AAOD) as critical validation metrics. By providing a framework to compare modeled and observed aerosol absorption, da Silva’s work has significantly improved our understanding of how absorbing aerosols—such as black carbon and dust—are represented in global reanalyses. Their contributions are essential for climate studies, air quality monitoring, and refining satellite retrieval algorithms. Through this integration of observation and modeling, da Silva has advanced the accuracy of aerosol datasets used by researchers worldwide, cementing their role in advancing atmospheric science and Earth system modeling.
Research Focus
Key Achievements
Top Papers
- 1