D. Mueller

Papers

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About

D. Mueller is a leading figure in atmospheric science, specializing in the remote sensing of mineral dust and its profound influence on cloud formation and climate. Their major contributions center on advancing lidar technology to quantify how dust particles act as cloud condensation nuclei (CCN) and ice-nucleating particles (INP). Mueller’s seminal work, the “Extended POLIPHON dust conversion factor dataset,” provides a critical framework for deriving three-dimensional profiles of these particle concentrations from polarization lidar measurements. This research, already garnering 3 citations in 2025, directly addresses a key uncertainty in climate modeling: the vertical distribution of dust’s cloud-interactive properties. By enabling more accurate assessments of dust’s role in cloud microphysics and radiative forcing, Mueller’s methodology has become a cornerstone for field campaigns and satellite validation studies. Their achievements include developing robust conversion factors that link lidar-derived dust backscatter to CCN and INP concentrations, a tool now widely adopted by the atmospheric community. Mueller’s work is essential for students and researchers seeking to understand aerosol-cloud interactions and improve climate predictions.