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Nan Chen
University of Wisconsin MadisonMeeting roles in:
Applied Math Perspectives on Multiscale Complexity: Theory, Computation, and Extreme Events in Geophysical and Urban Systems I Oral
Applied Math Perspectives on Multiscale Complexity: Theory, Computation, and Extreme Events in Geophysical and Urban Systems II Poster
A Physics-Informed Auto-Learning Framework under Partial Observations, with Applications to Developing Stochastic Conceptual Models
A Mathematical Framework for Quantifying Nonlinear Uncertainty Propagation in Eddy Identification Criteria
Assimilative Causal Inference
A stochastic precipitating quasi-geostrophic model
A Simple Intermediate Coupled MJO-ENSO Model: Multiscale Interactions and ENSO Complexity
Title: Bridging the Model Hierarchy: A Physics-Guided Machine Learning Framework for High-Resolution Climate Simulation Enhancement
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