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machine learning & AI

Fiona Lo presenting her Ph.D. thesis at the American Meteorological Society annual conference.
Posted inFeatures

Fiona Lo: A “Really Long, Convoluted Path” to Health

Richard Sima, freelance science writer by Richard J. Sima 25 July 20227 February 2023

Lo uses her background in atmospheric sciences to forecast pollen concentrations.

A hazy orange sky above a mountain range
Posted inScience Updates

For Western Wildfires, the Immediate Past Is Prologue

by Ronnie Abolafia-Rosenzweig, Cenlin He and Fei Chen 13 July 202222 December 2022

A new machine learning approach trained on winter and spring climate conditions offers improved forecasts of summer fire activity across the western United States.

Photograph of a volcano erupting.
Posted inEditors' Vox

Dynamics of Volcanic Processes

by Olivier Roche, Yosuke Aoki, Nikolai Bagdassarov, Michael Heap, Sigrun Hreinsdottir, Qinghua Huang, Daniel Pastor-Galán, Michael Poland, Maria Sachpazi, Fang-Zhen Teng, Gregory P. Waite, Marie Edmonds, Paul Asimow, Minghua Zhang and Graziella Caprarelli 6 July 202220 September 2022

A new cross-journal special collection invites contributions on modern approaches used to investigate dynamics of volcanic processes.

Esquema algoritmo de aprendizaje para estimar las magnitudes de terremotos sobre la base de señales de elastogravidad rápida.
Posted inNews

Monitoreando terremotos a la velocidad de la luz

by Mohammed El-Said 30 June 202230 June 2022

Nueva investigación utiliza la gravedad y un modelo de aprendizaje automático para estimar instantáneamente la magnitud y ubicación de grandes terremotos.

Smog obscures a jade pagoda in a Beijing Park.
Posted inResearch Spotlights

Despite Improvements, China’s Air Remains Unsafe

by Saima May Sidik 23 June 202212 August 2022

Toxic particulate matter has decreased by about a third over the past decade, but levels are still above what’s considered healthy.

Diagram showing the three barriers in seasonal forecast and the Conditional Generative Forecasting methodology developed to tackle these three barriers.
Posted inEditors' Highlights

Learning from Climate Simulations for Global Seasonal Forecast

by Jiwen Fan 23 June 202222 December 2022

A probabilistic deep learning methodology that learns from climate simulation big data offers advantageous seasonal forecasting skill and crucial climate model diagnosis information at a global scale.

Mississippi River levee at Gretna, La.
Posted inResearch Spotlights

Algorithm Detects Thousands of Missing Levees from U.S. Database

Rachel Fritts, Science Writer by Rachel Fritts 17 June 202221 February 2023

An existing levee database accounts for just one fifth of the country’s actual total levee count, limiting the study of how these embankments affect riparian ecosystem health in the United States.

Three photographs showing nodes being staged, transported by truck, and charged/harvested in racks.
Posted inEditors' Vox

The Big Data Revolution Unlocks New Opportunities for Seismology

by Stephen J. Arrowsmith, Daniel T. Trugman, Karianne Bergen and Beatrice Magnani 9 June 202214 June 2022

The field of seismology is entering a new era where our understanding of earthquakes and the solid earth is increasingly driven by new Big Data experiments and algorithms.

Graph showing contribution of each large-scale atmospheric variable on the y-axis to predicted total convective area.
Posted inEditors' Highlights

Using Artificial Intelligence to Study Convection

by Minghua Zhang 8 June 202223 January 2023

Machine learning techniques are used to examine relationships between the large-scale state of the atmosphere, the convection total area, and the degree of organization in northern Australia.

Illustration of the AI algorithm estimating large earthquakes’ magnitudes on the basis of prompt elastogravity signals (PEGS) traveling at the speed of light, much faster than seismic (P and S) waves.
Posted inNews

Monitoring Earthquakes at the Speed of Light

by Mohammed El-Said 2 June 20222 June 2022

New research uses gravity and a machine learning model to instantaneously estimate the magnitude and location of large earthquakes.

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A view of a bridge, with the New Orleans skyline visible in the distance between the bridge and the water. A purple tint, a teal curved line representing a river, and the text “#AGU25 coverage from Eos” overlie the photo.

Features from AGU Publications

Research Spotlights

New River Chemistry Insights May Boost Coastal Ocean Modeling

9 January 20269 January 2026
Editors' Highlights

Central China Water Towers Provide Stable Water Resources Under Change

9 January 20269 January 2026
Editors' Vox

Hydrothermal Circulation and Its Impact on the Earth System

3 December 20253 December 2025
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