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machine learning & AI

Sunlight filters through the ocean surface.
Posted inNews

Deep-Ocean Cooling May Have Offset Global Warming Until 1990

by Robin Donovan 12 October 202126 October 2021

New machine learning techniques have estimated ocean temperatures below 2,000 meters, leading to a new model of warming trends.

Illustration of multiple views of Earth overlain by zeros and ones
Posted inOpinions

Training the Next Generation of Physical Data Scientists

by Amy McGovern and John Allen 6 October 202119 November 2021

Preparing a diverse new generation of scientists who can use artificial intelligence and data science to better understand and predict geoscience phenomena requires revamped training.

Figure showing different perspectives on deep learning.
Posted inEditors' Vox

When Deep Learning Meets Geophysics

by J. Ma and S. Yu 1 September 20212 March 2022

Traditional physical models are no longer the only foundational tools for processing geophysical data; “big data” help to reveal the laws of geophysics from new angles with exciting results so far.

Graphic by Rene Gauthier-Butterfield
Posted inEditors' Vox

Call for Papers on Machine Learning and Earth System Modeling

by J. Yuval, M. Pritchard, P. Gentine, L. Zanna and Jiwen Fan 15 July 20219 February 2022

Contributions are invited to a new journal special collection on the use of new machine learning methodologies and applications of machine learning to Earth system modeling.

Two images comparing a high-resolution pore network in rock and a reconstruction of the same by the machine learning model.
Posted inEditors' Highlights

Reconstructing Rocks with Machine Learning

by D. O'Malley 12 July 20213 October 2022

Machine learning can be used to accurately reconstruct high-resolution, 3D images of rocks from 2D cross-sections, which opens the door to more detailed simulations.

Data cube acquired via a remote imaging spectrometer, with two spatial dimensions and one spectral dimension
Posted inOpinions

Realizing Machine Learning’s Promise in Geoscience Remote Sensing

by D. Thompson and P. G. Brodrick 8 July 20215 October 2021

Machine learning and signal processing methods offer significant benefits to the geosciences, but realizing this potential will require closer engagement among different research communities.

Four plots comparing the accuracy of predicted latent heat and sensible heat fluxes with observations from flux towers.
Posted inEditors' Highlights

Combining Deep Learning Methods with Process-based Models

by Marc F. P. Bierkens 2 July 20219 February 2023

Using turbulent heat fluxes as an example, a new study shows that exchange of information between process-based models and deep learning methods may lead to improved predictions.

Artistic representation of a coronal mass ejection from the Sun heading toward Earth.
Posted inOpinions

Ten Ways to Apply Machine Learning in Earth and Space Sciences

by J. Bortnik and Enrico Camporeale 29 June 202110 October 2021

Machine learning is gaining popularity across scientific and technical fields, but it’s often not clear to researchers, especially young scientists, how they can apply these methods in their work.

Cartesian representation of a global adjoint tomography model simulating seismic wave propagation
Posted inScience Updates

A Tectonic Shift in Analytics and Computing Is Coming

by G. Morra, Ebru Bozdag, M. Knepley, L. Räss and V. Vesselinov 4 June 202126 April 2022

Artificial intelligence combined with high-performance computing could trigger a fundamental change in how geoscientists extract knowledge from large volumes of data.

Outlines of Lesser Antilles islands and Barbados placed on top of satellite imagery of the Caribbean showing both white meteorological clouds and a plume of brown volcanic ash.
Posted inNews

Eyeing Explosive Ash Clouds from Above and Below

by Alka Tripathy-Lang 5 May 20217 September 2022

Satellites in the sky combined with computers on the ground detect and track volcanic ash clouds, like those produced by Soufrière St. Vincent in April, in near-real time.

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