Antti Kukkurainen
Papers
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2
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About
Antti Kukkurainen is a researcher specializing in atmospheric remote sensing, with a particular focus on aerosol optical depth (AOD) retrieval and uncertainty quantification. His work advances the application of Bayesian statistical methods to satellite-based atmospheric measurements, enabling more robust and realistic uncertainty estimates in aerosol property retrievals. His most-cited paper, "Bayesian uncertainty quantification in aerosol optical depth retrieval applied to TROPOMI measurements" (2021), introduces a novel aerosol model selection framework that incorporates pixel-level uncertainty, addressing a critical gap in traditional retrieval approaches. This work contributes to improving the accuracy and reliability of satellite-derived aerosol data, which is essential for climate modeling and air quality monitoring. Kukkurainen’s research bridges statistical methodology and atmospheric science, offering practical tools for handling complex model selection problems in remote sensing. His contributions are particularly relevant for researchers working on TROPOMI data analysis and for those seeking to enhance the interpretability of satellite observations through rigorous uncertainty propagation.
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