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Member Since 2000
Tapio Schneider
Theodore Y. Wu Professor, California Institute of Technology
AGU Research
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Thank You to Our 2024 Peer Reviewers
JOURNAL OF ADVANCES IN MODELING EARTH SYSTEMS
18 march 2025
Stephen M. Griffies, Jiwen Fan, Yuanyuan Huang, Na...
The editors of Journal of Advances in Modeling Earth Systems thank the 1,001 reviewers who provided 1,593 reviews during 2024. Their hard work and ...
Changes in the Frequency of Observed Temperature Extremes Largely Driven by a Distribution Shift
GEOPHYSICAL RESEARCH LETTERS
13 december 2024
Ronak Patel, David B. Bonan, Tapio Schneider
Extreme heat poses significant threats to human life and ecosystems. Quantifying the effects of anthropogenic climate change on extreme heat has re...
AI's Potential and Limitations in Transforming Climate Modeling and Prediction
MACHINE LEARNING AND OTHER NOVEL TECHNIQUES IN ATMOSPHERIC AND ENVIRONMENTAL SCIENCES: APPLICATION AND DEVELOPMENT II ORAL
atmospheric sciences | 12 december 2024
Tapio Schneider
While climate change is certain, precisely how climate will change is less clear, necessitating transformative advancements in climate modeling and pr...
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Hybrid dynamical-generative downscaling of climate model ensembles
CLIMATE DOWNSCALING AND WEATHER POSTPROCESSING: DEVELOPMENT, EVALUATION, AND APPLICATIONS III ORAL
global environmental change | 10 december 2024
Ignacio Lopez-Gomez, Zhong Yi Wan, Leonardo Zepeda...
Regional high-resolution climate projections are crucial for many applications, such as agriculture, hydrology, and natural hazard risk assessment. Dy...
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Trait-Based Vegetation Optical Properties in Earth System Models Impact Future Climate Projections
POWERING NEXT-GENERATION EARTH SYSTEM MODELING WITH ECOPHYSIOLOGY AND DIVERSE OBSERVATIONS ACROSS SCALES II ORAL
biogeosciences | 10 december 2024
Renato K. Braghiere, Yujie Wang, Holly Croft, Wood...
Traditional Earth system models (ESMs) use plant functional types (PFTs) to represent vegetation heterogeneity, often neglecting intra-type diversity....
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Online Learning of Entrainment Closures in a Hybrid Machine Learning Parameterization
JOURNAL OF ADVANCES IN MODELING EARTH SYSTEMS
14 november 2024
Costa Christopoulos, Ignacio Lopez-Gomez, Tom Beuc...
This work integrates machine learning into an atmospheric parameterization to target uncertain mixing processes while maintaining interpretable, pr...
Precipitation Over a Wide Range of Climates Simulated With Comprehensive GCMs
GEOPHYSICAL RESEARCH LETTERS
12 august 2024
David B. Bonan, Tapio Schneider, Jiang Zhu
Idealized general circulation models (GCMs) suggest global‐mean precipitation ceases to increase with warming in hot climates because evapora...
Training Warm‐Rain Bulk Microphysics Schemes Using Super‐Droplet Simulations
JOURNAL OF ADVANCES IN MODELING EARTH SYSTEMS
26 july 2024
Sajjad Azimi, Anna Jaruga, Emily de Jong, Sylweste...
Cloud microphysics is a critical aspect of the Earth's climate system, which involves processes at the nano‐ and micrometer scales of droplet...