Tapio Schneider
Theodore Y. Wu Professor of Environmental Science and Engineering
Vordipl., Albert-Ludwigs-Universitat Freiburg, 1993; Ph.D., Princeton University, 2001. Assistant
Professor, Caltech, 2002-08; Associate Professor, 2008-09; Professor, 2009-10; Gilloon Professor,
2010-18; Wu Professor, 2018-; Director, Linde Center, 2011-12; Executive Officer, 2011-12; Jet Propulsion Laboratory Senior Research Scientist, 2016-24.
Research Overview
Professor Schneider's research group studies atmospheric dynamics, both here on Earth and on other planets, on scales from clouds to the globe. To answer fundamental questions about atmospheric dynamics, such as what controls Earth's winds and precipitation patterns, the group analyzes observational data and performs systematic studies with numerical models, simulating flows ranging from the meter-scale motions in clouds to global circulations. Collaborating with other scientists, engineers, and applied mathematicians in the Climate Modeling Alliance, Professor Schneider's group also develops next-generation models for weather forecasting and climate prediction.
Research Summary:
Large-scale atmosphere dynamics of Earth and other planets; dynamics of climate changes; turbulence in atmosphere and oceans; climate modeling.
Related News
Read more newsPublications
- Patel, Ronak N.;Bonan, David B. et al. (2024) Changes in the Frequency of Observed Temperature Extremes Largely Driven by a Distribution ShiftGeophysical Research Letters
- Christopoulos, Costa;Lopez‐Gomez, Ignacio et al. (2024) Online Learning of Entrainment Closures in a Hybrid Machine Learning ParameterizationJournal of Advances in Modeling Earth System (JAMES)
- Wu, Jin-Long;Levine, Matthew E. et al. (2024) Learning about structural errors in models of complex dynamical systemsJournal of Computational Physics
- Chammas, Sheide;Wang, Qing et al. (2023) Accelerating Large-Eddy Simulations of Clouds With Tensor Processing UnitsJournal of Advances in Modeling Earth System (JAMES)
- Schneider, Tapio;Behera, Swadhin et al. (2023) Harnessing AI and computing to advance climate modelling and predictionNature Climate Change
- Schneider, Tapio;Altintas, Ilkay et al. (2023) Accelerating Scientific Discovery With AI-Aided AutomationComputing in Science & Engineering
- Braghiere, R. K.;Wang, Y. et al. (2023) The Importance of Hyperspectral Soil Albedo Information for Improving Earth System Model ProjectionsAGU Advances
- Griffies, Stephen M.;Fan, Jiwen et al. (2023) Thank You to Our 2022 Peer ReviewersJournal of Advances in Modeling Earth Systems
- Levin, Jon;Pacala, Steve et al. (2023) Extreme Weather Risk in a Changing Climate: Enhancing prediction and protecting communities
- Souza, A. N.;He, J. et al. (2023) The Flux-Differencing Discontinuous Galerkin Method Applied to an Idealized Fully Compressible Nonhydrostatic Dry AtmosphereJournal of Advances in Modeling Earth Systems