most citedLong Is More Important Than Difficult for Training Reasoning Models

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physics.ao-ph2025

Calibrating Geophysical Predictions under Constrained Probabilistic Distributions

Zhewen Hou, Jiajin Sun, Subashree Venkatasubramanian +3

Machine learning (ML) has shown significant promise in studying complex geophysical dynamical systems, including turbulence and climate processes. Such systems often display sensit…

physics.ao-ph2025

Climate-Adaptive and Cascade-Constrained Machine Learning Prediction for Sea Surface Height under Greenhouse Warming

Tianmu Zheng, Ru Chen, Xin Su +3

Machine learning (ML) has achieved remarkable success in climate and marine science. Given that greenhouse warming fundamentally reshapes ocean conditions such as stratification, c…