Tapio Schneider | |
|---|---|
| Born | 1972 (age 52–53) Germany |
| Citizenship | German, American, Finnish |
| Known for | Climate Modeling Alliance (CliMA) Stratocumulus cloud breakup Earth System Modeling 2.0 |
| Awards | Jule G. Charney Award (2025) Packard Fellow (2005) |
| Scientific career | |
| Fields | Atmospheric science, Climate dynamics, Fluid dynamics |
| Institutions | California Institute of Technology Google Research NASA Jet Propulsion Laboratory ETH Zurich |
| Doctoral advisor | Isaac Held |
| Website | climate-dynamics |
Tapio Schneider (born 1972) is a German-American climate scientist and physicist. He is the Theodore Y. Wu Professor of Environmental Science and Engineering at the California Institute of Technology (Caltech) and a Principal Scientist at Google Research. He is best known for his work on atmospheric turbulence, the dynamics of clouds, and for leading the Climate Modeling Alliance (CliMA), a multi-institutional initiative to develop a new Earth system model that uses machine learning to improve climate predictions. [1] [2] [3]
Schneider studied physics at the University of Freiburg in Germany, receiving his Vordiplom in 1993. He was a visiting graduate student at the University of Washington from 1994 to 1995. He earned his Ph.D. in Atmospheric and Oceanic Sciences from Princeton University in 2001 under the supervision of Isaac Held. [4]
Schneider joined the faculty of Caltech in 2002. He served as the Frank J. Gilloon Professor from 2010 to 2018 before being named the Theodore Y. Wu Professor. From 2013 to 2016, he held a position as Professor of Climate Dynamics at ETH Zurich. He was a Senior Research Scientist at the NASA Jet Propulsion Laboratory from 2017 to 2024. In 2022, he joined Google Research as a Visiting Researcher, becoming a Principal Scientist in 2024.
Schneider leads the Climate Modeling Alliance (CliMA), a coalition of scientists and engineers from Caltech, MIT, and the Jet Propulsion Laboratory. [5]
The project's primary mission is to reduce and quantify uncertainties in climate projections—specifically those arising from small-scale processes such as clouds, turbulence, and convection—by building a new Earth System Model (ESM). The alliance operates on a blueprint proposed by Schneider and colleagues in 2017 termed "Earth System Modeling 2.0". This approach integrates data assimilation and machine learning (ML) directly into the model's physics. Unlike traditional models that are manually tuned, the CliMA model is designed to automatically learn subgrid-scale (SGS) closures from diverse data sources, including global satellite observations and targeted high-resolution large-eddy simulations (LES). [6]
The CliMA model is notable for being written entirely in the Julia programming language, chosen for its ability to solve the "two-language problem" by offering both high-level abstraction and high-performance machine code generation. [7] The software stack is designed to run on both CPUs and GPUs.
Schneider's research focuses on the large-scale dynamics of the atmosphere and climate change.