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machine learning & AI

Figure from the paper.
Posted inEditors' Highlights

Machine Learning Accelerates the Simulation of Dynamical Fields

by Jiwen Fan 20 March 202418 March 2024

Fourier neural operator solvers accurately emulate particle-resolved direct numerical simulations and significantly reduce the computational time by two orders of magnitude.

Photo of Alexandre Schubnel with a cover of JGR: Solid Earth.
Posted inEditors' Vox

Introducing the new Editor-in-Chief of JGR: Solid Earth

by Alexandre Schubnel 28 February 202428 February 2024

Learn about the person taking the helm of JGR: Solid Earth and his vision for the coming years.

Radar equipment at a research site sits in the foreground, with flat grasslands stretching out beyond and the Sun low on the horizon illuminating some light clouds.
Posted inScience Updates

Decoding the Dialogue Between Clouds and Land

by Tianning Su and Zhanqing Li 16 February 2024

New research is challenging established assumptions about how clouds form and interact with Earth’s surface. One result may be better weather forecasts.

Graphs showing the performance of the deep learning network developed in this study.
Posted inEditors' Highlights

Deep Learning Facilitates Earthquake Early Warning

by Han Yue 14 February 202413 February 2024

A deep learning model trained with real-time satellite data significantly reduces the time to predict the ground motion of big earthquakes.

2 graphs from the paper.
Posted inEditors' Highlights

Machine Learning for Geochemists Who Don’t Want to Code 

by Paul Asimow 9 February 20249 February 2024

Geochemistry π is an easy-to-use step-by-step interface to carry out common machine learning tasks on geochemical data, including regression, clustering, classification, and dimension-reduction.

An aerial photograph of a glacier that terminates at the sea.
Posted inNews

How Did We Miss 20% of Greenland’s Ice Loss?

Kimberly M. S. Cartier, News Writing and Production Intern for Eos.org by Kimberly M. S. Cartier 8 February 20242 July 2024

The ice loss was hidden in places existing monitoring methods can’t reach, such as hard-to-map fjords. Machine learning helped scientist revise mass loss estimates and uncover patterns in glacial retreat.

Satellite image of a large dust storm over North Africa.
Posted inEditors' Highlights

Using Machine Learning to Reconstruct Cloud-Obscured Dust Plumes

by Donald Wuebbles 2 February 20241 February 2024

Satellite-observed dust plumes from North Africa are frequently obscured by clouds, but a new study uses machine learning to reconstruct dust patterns, demonstrating a new way to validate dust forecasts.

A person with a mask on walking through a smog covered parking lot.
Posted inEditors' Vox

OneHealth, Climate Change, and Infectious Microbes

by Antarpreet Jutla, Gabriel Filippelli, Katherine D. McMahon, Susannah G. Tringe, Rita R. Colwell, Helen Nguyen and Michael J. Imperiale 31 January 20249 September 2024

AGU and ASM welcome submissions to a joint special collection focusing on the impacts of climate change and microbes on human well-being.

Photo of an iceberg in water.
Posted inEditors' Highlights

Deep Learning Tackles Deep Uncertainty 

by Nicholas Golledge 26 January 202424 January 2024

A new method based on artificial intelligence could help accelerate projections of polar ice melt and future sea level rise.

一个由六张黑白图像组成的网格,其中三张图像分别代表火星表面的两个区域。中央的HiRISE MADNet数字地形模型镶嵌图像清晰度最高,分辨率最高。
Posted inResearch Spotlights

绘制火星地图:深度学习可帮助确定耶泽洛陨石坑着陆点

Sarah Derouin, Science Writer by Sarah Derouin 17 January 202417 January 2024

研究人员使用新技术更精确地估计了火星上的地面高度,为火星车着陆制作了更高分辨率的地图。

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