Revealing the Mechanisms of Heat Extremes Using an AI Enabled Diagnostic Framework
Abstract Heat extremes have become a major health hazard around the world. Understanding their mechanisms remains a major challenge because the physical drivers interact in a nonlinear way. Here we introduce a globally perturbed reforecast framework driven by the Neural general circulation model (NeuralGCM).
Longzhen Xiang +9 more
wiley +1 more source
<i>b</i>-Value Evaluation and Applications to Seismic Hazard Assessment. [PDF]
Chang Y +10 more
europepmc +1 more source
A persistent radon anomaly signal preceding the destructive 7.7 M<sub>w</sub> earthquake in Myanmar on March 28, 2025. [PDF]
Sahoo BK +8 more
europepmc +1 more source
Sequence of events that led to the South Lhonak lake outburst flood in Sikkim, India. [PDF]
Mohanty LK +5 more
europepmc +1 more source
Simulating human behavior under earthquake early warning. [PDF]
Wood M +8 more
europepmc +1 more source
Scoping review of early warning systems in improving disaster risk outcomes: perspective from evolution to usage in Southeast Asian countries. [PDF]
Yadav N +4 more
europepmc +1 more source
Anticipating volcanic eruptions using rescaled range analysis of volcano-tectonic seismicity. [PDF]
Pérez-López R +7 more
europepmc +1 more source
A Study Based on b-Value and Information Entropy in the 2008 Wenchuan 8.0 Earthquake. [PDF]
Liang S, Wang Z, Wang X.
europepmc +1 more source
Machine learning for prompt estimation of macroseismic intensity from seismometric data in Italy. [PDF]
Patelli L +6 more
europepmc +1 more source

