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 interests: large-scale atmosphere dynamics of Earth and other planets, dynamics of climate changes, turbulence in atmosphere and oceans, climate modeling
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.
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;Altintas, Ilkay et al. (2023) Accelerating Scientific Discovery With AI-Aided AutomationComputing in Science & Engineering
- Schneider, Tapio;Behera, Swadhin et al. (2023) Harnessing AI and computing to advance climate modelling and predictionNature Climate Change
- 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
- Griffies, Stephen M.;Fan, Jiwen et al. (2023) Aims and Scope of JAMESJournal 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
Related Courses
2023-24
ESE 101 – Earth's Atmosphere
ESE 133 – Global Atmosphere Dynamics
2022-23
ESE 101 – Earth's Atmosphere
ESE 132 – Tropical Atmosphere Dynamics
ESE 134 – Cloud and Boundary Layer Dynamics
ESE 136 – Climate Models
2021-22
ESE 101 – Earth's Atmosphere
ESE 134 – Cloud and Boundary Layer Dynamics
2020-21
ESE 101 – Earth's Atmosphere
ESE 132 – Tropical Atmosphere Dynamics