Geophysical Research Letters
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Key Points

  • The Subseasonal-to-Seasonal prediction of summer precipitation over southern China is improved with a U-Net based deep learning method

  • The U-Net demonstrated promising performance in both general statistics and extreme events and shows superiority to the quantile mapping benchmark

  • The model skills arise from precipitation itself at the early stage, while atmospheric factors play important roles at longer lead times

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Earth and Space Science VOL.13 ISSUE 5 | 24 May 2026

Input Selection in Conventional Supervised Machine Learning in Geophysical‐Geological Mapping Applications: Improving Analytical Transparency and Model Parsimony

Limin Xu + Eleanor C R Green + Leonardo Feltrin

When conventional supervised machine learning (ML), including decision trees, support vector machines (SVMs), and k‐nearest neighbors (KNN), is applied to geological problems...

Journal of Geophysical Research: Solid Earth VOL.131 ISSUE 5 | 23 May 2026

Magnetotelluric Imaging of Slab Subduction and Rollback: Constraints on Mantle‐Driven Orogenic Evolution in the Jiangnan Orogen

Yuexin You + Jiayong Yan + Hui Chen ...

The Neoproterozoic Jiangnan Orogen (JNO) in South China, a fundamental suture amalgamating the Yangtze and Cathaysia blocks, provides key insights into orogenic processes....

Geophysical Research Letters VOL.53 ISSUE 10 | 12 May 2026

Characterizing Multi‐Source DNAPL Source Zone Architecture in Channelized Aquifers Using a Geophysics‐Informed Hybrid Deep Learning Framework

Yanhao Wu + haijian xie + Manting Ci ...

Accurate characterization of dense nonaqueous phase liquid (DNAPL) source zone architecture (SZA) is essential for contaminated site remediation. However, highly channelized...

Journal of Geophysical Research: Earth Surface VOL.131 ISSUE 5 | 26 May 2026

The Energy Balance Behind Glacier Retreat: A Regional Reconstruction for Western Canada (1980–2022)

Christina Draeger + Valentina Radic

Glacier mass loss has accelerated globally in recent decades, yet many regional and global glacier models still rely on temperature‐index melt approaches that limit physical...

Journal of Geophysical Research: Atmospheres VOL.131 ISSUE 10 | 23 May 2026

Global‐Frequency Synergy: A Novel Paradigm for Radar Echo Extrapolation via Attention and Fourier Convolution

Wei Wu + Guangxin He + Haonan Chen ...

Accurate radar echo extrapolation is critical for short‐term weather forecasting, yet existing deep learning methods often suffer from echo ambiguity, intensity decay, and...