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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Journal of Advances in Modeling Earth Systems (JAMES) VOL.18 ISSUE 6 | 24 June 2026

Information Flow in Geophysical Systems

Peter Jan van Leeuwen

We present a new framework for analyzing the evolution of information in geophysical systems. Understanding how information, and its counterpart, uncertainty, propagates is...

Earth and Space Science VOL.13 ISSUE 7 | 6 July 2026

Geophysical Investigation of Geothermal Potential in Southern Thailand: Insights From GGMplus Gravity

T Phiranram + P Chenrai + S Phantuwongraj ...

Southern Thailand hosts numerous low‐ to medium‐enthalpy geothermal manifestations in a non‐volcanic setting. This study investigates the geothermal potential of the region...

Geochemistry, Geophysics, Geosystems VOL.27 ISSUE 7 | 24 July 2026

The Effects of a Microplate on Plume‐Ridge Interactions: Constraints From Comparing Easter and Juan Fernandez Microplates in the Eastern Pacific Ocean

Jennifer E Georgen + Katherine Ames

This study investigates the nature of plume‐ridge interactions near a tectonic microplate using mantle Bouguer anomaly (MBA) gravity calculations. The focus of this investigation...

Earth and Space Science VOL.13 ISSUE 7 | 27 June 2026

An Information Geometry‐Based Method to Study Atmospheric and Seismic Phenomena With VLF Signals

Abhiram Anand Thiruthummal + Sergiy Shelyag + Viktor Fedun ...

We propose to employ the framework of information geometry to detect anomalies in Very Low Frequency (VLF) and Low Frequency (LF) signal propagation, measured globally across...

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...