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Research Projects
Detection of aerosol-cloud interactions in observations space
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Detection of aerosol-cirrus cloud interactions in satellite data: process-oriented approach
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Clouds as sources and sinks of aerosol - micro- vs. macrophysical processes
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Causal inference in satellite data studies of aerosol-cloud interactions
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Constraining aerosol-cloud interactions through multi-sensor fusion of satellite-based Earth observations using machine learning
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Complexity reduction to understand global aerosol-cloud interactions
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Identification of cloud regimes relevant for aerosol-cloud interactions
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Detecting and attributing aerosol influences on large-scale climate
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Understanding Arctic clouds:how do aerosols control their properties
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Selection bias in observational studies of aerosol-cloud interactions
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Algorithms for multimodal data-based inference and prediction for climate science applications
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Causal discovery in the presence of multiple time scales
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Causal discovery in the presence of latent variables
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Physics-aware and explainable machine learning for dust and cloud properties retrieval
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Scalable and Expressive Spatio-Temporal Modelling
(Filled)
