Papers

3

Total Citations

19

H-Index

3

About

P. F. Levelt is a leading figure in atmospheric remote sensing, with a research focus centered on the retrieval and quantification of aerosol optical properties using satellite-based observations. Their major contributions lie in advancing the use of the Absorbing Aerosol Index (AAI) from instruments like OMI (Ozone Monitoring Instrument) to derive quantitative measurements of aerosol absorption. Specifically, Levelt has pioneered methods to retrieve the absorbing aerosol optical depth (AAOD) and single scattering albedo (SSA), which are critical parameters for reducing uncertainties in aerosol climate radiative forcing assessments. Their work includes a novel deep learning approach for deriving aerosol absorption over land from the Ultra-Violet Aerosol Index, as well as detailed simulations of the January 2017 Chile wildfires to quantify SSA from OMI AAI data. While individual paper citation counts (ranging from 3 to 11) reflect a specialized and emerging field, the cumulative impact of Levelt’s research is significant for climate science, providing essential tools for monitoring wildfire emissions and understanding aerosol-climate interactions. Their methodological innovations bridge qualitative satellite indices with quantitative aerosol properties, marking a notable achievement in environmental remote sensing.

Research Focus

Key Achievements

3
H-Index
3
Papers
19
Total Citations
6
Avg Citations/Paper
🏆 Most Cited Paper
Aerosol Absorption Over Land Derived From the Ultra-Violet Aerosol Index by Deep Learning
11 citations · 2021
📈 Most Prolific Year: 2018 (2 Papers)
🤝 Key Collaborators: 4
🏛 Institutions: NSF National Center for Atmospheric Research, Royal Netherlands Meteorological Institute

Top Papers

  1. 1
  2. 2
  3. 3

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago