A deep learning model trained with geophysical data recorded during the well-documented 2018 Kilauea volcano eruption, Hawaii, predicts recurrent caldera collapse events.
forecasting
Posted inOpinions
Cultivating Trust in AI for Disaster Management
Artificial intelligence applied in disaster management must be reliable, accurate, and, above all, transparent. But what does transparency in AI mean, why do we need it, and how is it achieved?
Posted inEditors' Vox
Operational Earthquake Forecasting – What Is It and How Is It Done?
While earthquakes cannot be deterministically predicted, operational earthquake forecasting systems can provide valuable insights into the likelihood of future quakes.
Posted inResearch Spotlights
Physics Meets Machine Learning for Better Cyclone Predictions
A new hybrid modeling approach combines physics-based and machine learning models to extend—and improve—path and intensity predictions of tropical cyclones.
Posted inNews
La transmisión de la malaria en África varía con el clima y la hidrología
Los datos sobre las precipitaciones por sí solos no pueden predecir dónde puede aparecer la malaria. Si se tienen en cuenta los procesos hidrológicos, los investigadores pueden hacerse una imagen más precisa de la transmisión.
Posted inFeatures
Sarah Minson: A Collaborative Quake Career
A geophysicist thrives on teamwork at the U.S. Geological Survey.
Posted inFeatures
Tanja Amerstorfer: Forecasting Space Weather
The deputy head of the Austrian Space Weather Office built a supportive network.
Posted inEditors' Highlights
Ocean Impacts on European Winter Weather
State-of-the-art high-resolution models are needed to reveal the ocean’s role in driving extra-tropical weather systems.
Posted inEditors' Highlights
Machine Learning Masters Weather Prediction
Community datasets and evaluation standards are needed to further advance machine learning for weather prediction.
Posted inNews
Malaria Transmission in Africa Shifts with the Climate—and Hydrology
Rainfall data alone can’t predict where malaria may pop up. Factoring in hydrological processes helps researchers paint a more nuanced picture of transmission.