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machine learning & AI

Graphs showing the vertical profiles of the error in shortwave downwelling flux, upwelling flux, and heating rates computed from fluxes.
Posted inEditors' Highlights

Machine Learning Emulation of Atmospheric Radiative Transfer

by Jiwen Fan 2 August 202213 February 2023

Using machine learning to represent sub-grid processes in weather and climate models holds promise, but also faces challenges. Incorporating physical knowledge can help.

Diagram from the paper showing how the new algorithm builds graphs.
Posted inEditors' Highlights

AI Algorithm Provides More Accurate Forecasts of Water Use

by Jim Hall 29 July 202214 February 2023

The new graph convolutional recurrent neural network (GCRNN) will enable water utilities to forecast water use, even if some sensors fail.

Two Paluch diagrams, one showing a large-eddy simulation and one showing the new machine learning model.
Posted inEditors' Highlights

Modeling Entrainment with Machine Learning

by Jiwen Fan 27 July 20226 January 2023

Researchers present a new approach to modeling the stochastic mixing process of convection using a machine learning technique.

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.

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