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Tapio Schneider
Tapio Schneider
Theodore Y. Wu Professor of Environmental Science and Engineering
Expertise
Climate Modeling; Climate Change; Clouds; Turbulence; Climate dynamics
Profile
Schneider is a climate scientist and professor at Caltech. His research has focused on the intensification of rainfall extremes due to global warming, the destabilizing effects of cloud cover changes on the climate system, and the dynamics of winds and weather on Earth and other planets. He is currently leading the Climate Modeling Alliance, an initiative aimed at developing the first climate model that uses machine learning to enhance the accuracy and usability of climate predictions. He has served on numerous national and international committees on AI in science and climate risks, including in the National Academies of Science and Engineering and the White House.
Languages Spoken
English;
Faculty Bio
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.
Caltech Affiliations
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AI Improves Monsoon Rainfall Predictions
April 01, 2024
Machine learning helps researchers make more accurate predictions of monsoon rainfall in South Asia.
Artificial Intelligence is Key to Better Climate Models, Say Researchers
October 10, 2023
Tapio Schneider, Andrew Stuart and 12 other scientists have published a proposal for improving climate models and predictions by harnessing more data with A.I.
Methods from Weather Forecasting Can Be Adapted to Assess Risk of COVID-19 Exposure
June 23, 2022
A more granular understanding of risk could reduce the need for widespread lockdowns during an epidemic.
How Do We Know if Extreme Weather Events Happen because of Climate Change?
August 20, 2021
Climate scientist Tapio Schneider on human-caused climate change and how extreme-event attribution works
Study: Solar Geoengineering May Not be a Long-Term Solution for Climate Change
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November 17, 2020
High-resolution computer simulations indicate that solar geoengineering to avert effects of climate change would not protect low-lying clouds needed to reflect sunlight.