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Author(s): Riddhi Bandyopadhyay, Subash Adhikari, Yan Yang, and William H. Matthaeus

A key principle underlying most turbulence theories is that the mean energy dissipation rate remains finite even as viscosity vanishes: the so-called zeroth law of turbulence. Although this property has been established for hydrodynamic and magnetohydrodynamic (MHD) turbulence, its validity in weakl…

[Phys. Rev. E 114, 035202] Published Wed Sep 02, 2026

Author(s): Jingwei Xing and Jianmin Yuan

The configuration path integral Monte Carlo (CPIMC) method is employed to perform first-principles simulations of warm dense matter based on atomic orbitals. The system is modeled as an ion sphere with a pointlike nucleus at its center, and the electronic many-body problem is solved using CPIMC with…

[Phys. Rev. E 114, 035203] Published Wed Sep 02, 2026

Publication date: 1 September 2026

Source: Advances in Space Research, Volume 78, Issue 5

Author(s): Juncai Dong, Ahao Wang, Zhining Yang, Xuexi Liu, Zizhao Wang, Yitian Wen

Publication date: 1 September 2026

Source: Advances in Space Research, Volume 78, Issue 5

Author(s): Yumei Fang, Wujiao Dai, Biyan Chen, Lin Pan, Ning Liu

Publication date: 1 September 2026

Source: Advances in Space Research, Volume 78, Issue 5

Author(s): Yi Liu, Ting Lan, Xiang Wang, Zhongxin Deng, Mengyan Zhu, Yunzhou Zhu, Shuji Sun, Tong Xu, Cheng Wang, Longchang Sun, Yewen Wu, Yuqiang Zhang, Chen Zhou, Chunhua Jiang, Guobin Yang, Liguo Zhang, Jing Chen, Cheng Zeng

Publication date: 1 September 2026

Source: Advances in Space Research, Volume 78, Issue 5

Author(s): Hongliang Sun, Jun Tang, Mingfei Ding, Liang Zhang, Chaoqian Xu

Publication date: 1 September 2026

Source: Advances in Space Research, Volume 78, Issue 5

Author(s): A.M. El-Taher, B.M. Habashy, M.A. El-Borie, A.A. Bishara, S.F. Ibrahim

Publication date: 1 September 2026

Source: Advances in Space Research, Volume 78, Issue 5

Author(s): Parinda Prajapati, Amrita Sharma, Nimisha Patel

Publication date: 1 September 2026

Source: Advances in Space Research, Volume 78, Issue 5

Author(s): Wenhao Zhou, Dongsheng Zhao, Kefei Zhang, Craig M. Hancock

Publication date: 1 September 2026

Source: Advances in Space Research, Volume 78, Issue 5

Author(s): Veysel Gider

Publication date: 1 September 2026

Source: Advances in Space Research, Volume 78, Issue 5

Author(s): Shreeyan Rijal, Priyanshu Chaudhary, Shristi Sharma, Merry Thapa Thada Magar, Binod Regmi, Binod Adhikari

Publication date: 1 September 2026

Source: Advances in Space Research, Volume 78, Issue 5

Author(s): Sweta Tiwari, Punam Kumari Prasad, Yogen Ghatani, Asit Saha

SummaryWith the shale gas exploration and development into deep strata (> 3500 m in depth), weak signal detection becomes more challenging and vital in surface-based microseismic monitoring. Most existing deep learning approaches are trained on synthetic or single-station data, which limits their performance in detecting weak events in field seismic recordings. Here, we propose a deep learning approach based on the computer vision object detection model YOLOv5 via transfer learning and train it on a dataset from field observation to better detect microseismic events in multi-channel seismic data. First, we convert continuous seismic data into waveform images in grayscale with a record length of 20 s, and manually annotate the microseismic events containing the first arrival signals using rectangular boxes. To train the model, the transfer learning strategy is used by using parameters of YOLOs in computer vision to initiate the model. After training and validation, we conducted comprehensive tests to examine the performance of the model. Compared with the single-station short-term average/long-term average (STA/LTA) detector, our method reduces false positives markedly, yet it also delivers higher recall rate than the available multi-station detection scheme. When applied to continuous dataset from a different area, the model achieved good performance with a precision of 0.9832 and a recall of 0.9702, indicating it learns representative features of microseismic signals. All these tests illustrate that the proposed method achieves high detection accuracy, low false positive rates, and robustness. Meanwhile, the method possesses the superiority for real-time monitoring and can be easily updated by adding a few new samples to the training dataset.

Have you ever walked across a salt flat so expansive it feels like another planet? That's what it's like standing in Egypt's coastal sabkhas—those otherworldly landscapes where the ground crunches beneath your feet and the air shimmers with heat. These aren't just barren wastelands; they're living laboratories that record the pulse of our changing climate.

The Labrador Shelf is a shallow marine area on the margin of the Labrador Sea in the North Atlantic off the east coast of Canada. During the last ice age, this region was covered by the Laurentide Ice Sheet, one of the largest ice masses in Earth's history, which once covered vast parts of North America.

Extreme weather events, such as floods, droughts and torrential rains, affect water quality in lakes, rivers and coastal areas. This creates significant challenges for ecosystems and water supplies because pesticides bound in soil can quickly leach into water sources. Now, researchers want to monitor this in a new way.

On Nov. 11, 2025, Earth experienced a severe geomagnetic storm triggered by solar flares and coronal mass ejections from an active sunspot region. While this kind of storm brings beautiful auroras admired in many areas around the world, it can also cause ionospheric disturbances that disrupt radio waves and affect crucial technologies. A new study, published in Geophysical Research Letters, found that disruptions caused by this storm scrambled GPS signals in areas where such disruptions have never been reported.

In computer simulations of the Big One—a large-magnitude earthquake that may occur along the San Andreas Fault in California—seismic waves ripple from the epicenter of a magnitude 7.8 earthquake near the Salton Sea into the Los Angeles Basin.

Climate & Personal Health

The health effects of our warming climate go far beyond heat illnesses and direct fallouts from more frequent natural disasters. This issue of Eos explores some of the more nuanced ways that climate change is influencing personal health outcomes.

As deputy editor Emily Gardner bluntly states in the headline of this month’s new feature, “Antimicrobial Resistance Is Killing Millions. Climate Change Is Making It Worse.” Although climate change is far from the only (or even the leading) cause of antimicrobial resistance, it is a factor: “Climate change can modify the environmental, ecological, and social conditions that allow resistant microorganisms and resistance genes to emerge, persist, move, and reach humans, animals, and ecosystems,” environmental health scientist Ronan Adler Tavella explains.

There are many other correlations between specific effects of climate change and personal health. Some scientists have linked an increase in particulate air pollution driven by more intense, more frequent wildfires to greater instances of stroke. Others have found that sea surface temperatures may help predict seasonal risks of malaria thousands of kilometers away.

Researchers have long tracked the mental toll of climate change but are now drawing specific lessons from specific instances. Scientist-authors Maheshwari Neelam and Kamaldeep Bhui, for example, explain how lake bed dust from the drying Great Salt Lake is associated with mental health outcomes across Utah in “Lessons from Linking Great Salt Lake Desiccation and Depression.” Scientists are only beginning to learn the lessons of extreme temperatures and fatal overdoses, explains science reporter Grace van Deelen in “Extreme Heat and Extreme Cold Drive an Increase in Fatal Overdoses.”

Finally, effectively communicating the relationships between climate change and personal health is a science unto itself. That’s one message from research in GeoHealth that Rebecca Owen covers in “Many Americans Underestimate Health Risks of Extreme Weather, New Study Finds.” Poor risk communication can leave affected populations underprepared to face health dangers that can accompany climate-driven ecological changes, extreme heat and cold, and more intense instances of natural hazards.

We hope this issue of Eos helps improve risk communication by allowing you to better appreciate the scope and influence of climate change.

—Caryl-Sue Micalizio, Editor in Chief

Citation: Micalizio, C.-S. (2026), Individual consequences of a global crisis, Eos, 107, https://doi.org/10.1029/2026EO260279. Published on 1 September 2026. Text © 2026. AGU. CC BY-NC-ND 3.0
Except where otherwise noted, images are subject to copyright. Any reuse without express permission from the copyright owner is prohibited.

Erosion rates on parts of the Kaikōura Peninsula more than doubled after the 2016 earthquake, showing major quakes can "rapidly alter" the way coastlines evolve, an Otago researcher says.