Stefan Wunderle

About

Stefan Wunderle is a leading figure in satellite-based aerosol remote sensing, with a career dedicated to advancing our understanding of atmospheric composition through innovative retrieval algorithms. His research focuses on the spatial and temporal analysis of Aerosol Optical Depth (AOD), primarily over complex land surfaces and alpine environments—a traditionally challenging task for satellite sensors. Wunderle’s major contributions include pioneering multi-temporal techniques for geostationary sensors like MeteoSat-8 SEVIRI, enabling the derivation of daily and seasonal AOD trends from spatially homogeneous data. He also developed and validated modified retrieval algorithms for the NOAA AVHRR sensor, leveraging its unique 25+ year data record to analyze aerosol patterns over Central Europe. His work, including studies validating these algorithms and applying them to air quality modeling over Portugal, has garnered over 15 citations, establishing a foundation for long-term aerosol climatology. By bridging the gap between satellite observations and ground-based validation, Wunderle’s research remains essential for climate modeling and air quality monitoring, demonstrating the power of historical satellite data in tackling modern environmental challenges.

Research Focus

Key Achievements

Top Papers

1. 1
   Spatial analysis of aerosol optical depth obtained by air quality modelling and SEVIRI satellite observations over Portugal

   6 citations · 2018
2. 2
   Retrieval of aerosol optical depth (AOD) using NOAA AVHRR data in an alpine environment

   4 citations · 2004
3. 3
   Aerosol Optical Depth Retrieval over Land Using MeteoSat-8 SEVIRI Data

   3 citations · 2006
4. 4
   Validation of a modified AVHRR aerosol optical depth retrieval algorithm over Central Europe

   2 citations · 2010

Key Collaborators

Contact & Links