معرفی
Peter Spichtinger is a Professor for Theoretical Cloud Physics at the Institute for Atmospheric Physics (IPA), Johannes Gutenberg-Universität Mainz, Germany. Since 2010, he has led research on cloud dynamics, multiscale modeling, and atmospheric pattern formation. His work bridges mathematical modeling with climate science, focusing on ice supersaturation, gravity wave-cloud interactions, and machine learning applications in atmospheric physics.
- Key Affiliations: Institute for Atmospheric Physics (Mainz), Mainz Institute of Multiscale Modeling (M3O), Waves to Weather (W2W) SFB, TPChange CRC
- Research Themes: Cloud-scale microphysics, ice nucleation pathways, tropopause dynamics, stochastic Galerkin methods, fractal properties of atmospheric systems
His 15 most recent publications emphasize ice microphysics in climate models, GPU-accelerated weather front detection, asymptotic cloud modeling, and machine learning for atmospheric datasets. Current projects include BINARY (Big Data in Atmospheric Physics) and leadership of the SCALES Conference 2025. He serves as Deputy Institute Director (2020-2022) and Spokesperson for M3O (since 2022).
Scientific awards include the Marie Curie Fellowship (2007-2009). He supervises theses in interdisciplinary contexts and co-organizes seminars on cloud dynamics and machine learning for atmospheric systems.
