Feed aggregator

Publication date: 15 August 2026

Source: Earth and Planetary Science Letters, Volume 688

Author(s): Konrad Greinwald, Aaron Bufe, Theresa Blume, Dominic Demand, Markus Egli, Tobias Gebauer, Anne Hartmann, Fabian Maier, Ilja van Meerveld, Alessandra Musso, Michael Scherer-Lorenzen, Markus Weiler

Publication date: 15 August 2026

Source: Earth and Planetary Science Letters, Volume 688

Author(s): Nico Bigaroni, Fabio Trippetta, Corentin Noël, Carolina Giorgetti, Cristiano Collettini

Publication date: 15 August 2026

Source: Earth and Planetary Science Letters, Volume 688

Author(s): Francis Nimmo, Sujoy Mukhopadhyay

Publication date: Available online 12 May 2026

Source: Earth and Planetary Science Letters

Author(s): Liam Moser, Matěj Peč, Camilla Cattania

Publication date: Available online 18 May 2026

Source: Advances in Space Research

Author(s): Mohamed Kaab, Abdelkarim Boskri, Zouhair Benkhaldoun, Mashhoor A. Al-Wardat, Amal Loutfi, Shuli Song, Massinissa Hadjara

Publication date: Available online 18 May 2026

Source: Advances in Space Research

Author(s): Feilong Zhao, Bo Hu, Hongjiang Wu, Wen Li, Chenglong Zhang, Long Hei, Li Wang, Wenqing Wu, Li Yang

Publication date: Available online 18 May 2026

Source: Advances in Space Research

Author(s): Kezhi Huang, Tao Yu, Kun Deng, Shu Wang, Xiangxiang Yan

Publication date: Available online 18 May 2026

Source: Advances in Space Research

Author(s): Hannah Fisher, Joel Patzwald, Tjorben Griemsmann, Ludger Overmeyer, Enrico Stoll

Publication date: Available online 18 May 2026

Source: Advances in Space Research

Author(s): Yudi Haditiar, Muhammad Ikhwan, Haekal Azief Haridhi, Muhammad Nanda, Syahrul Purnawan, Maria Ulfah

Publication date: 15 May 2026

Source: Advances in Space Research, Volume 77, Issue 10

Author(s): Jin-Cherng Hsu, Wei-Yu Chen, Chih-Hsuan Shih, Guo-Yu Yu, Yung-Shin Sun, Hsing-Yu Wu

Publication date: 15 May 2026

Source: Advances in Space Research, Volume 77, Issue 10

Author(s): Tiantian Qing, Hao Zhou, Ming Li, Le Suo, Zhu Zhu, Mingyang Xia, Yaozong Li, Lijun Zheng, Shuyun Zheng, Siyou Xu, Zhicai Luo

Publication date: 15 May 2026

Source: Advances in Space Research, Volume 77, Issue 10

Author(s): Yu Zhao, Xin Ma

Publication date: 15 May 2026

Source: Advances in Space Research, Volume 77, Issue 10

Author(s): Ramin Saadi Esfangareh, Fatemeh Imanpour, Mahdi Hasanlou

Publication date: 15 May 2026

Source: Advances in Space Research, Volume 77, Issue 10

Author(s): Carlo Scotto, Dario Sabbagh, Alessandro Ippolito, Loredana Perrone

Publication date: 15 May 2026

Source: Advances in Space Research, Volume 77, Issue 10

Author(s): Mefe Moses, Trisani Biswas, Haris Haralambous, Krishnendu Sekhar Paul

British demand for everyday global commodities can be linked to more than 29,000 hectares of deforestation worldwide in a single year, with tens of thousands of hectares stripped directly from overseas ecosystems. The stark figure forms the centerpiece of an environmental assessment released by the Stockholm Environment Institute (SEI) at the University of York.

The ocean is an important carbon sink that absorbs 20–30% of the total anthropogenic CO2 emissions in the industrial era (1.0–3.0 Pg annually, 1 Pg = 1015 g). Tropical cyclones are among the most devastating weather systems that profoundly disturb the upper ocean. However, their role in the global carbon cycle has been controversial: do tropical cyclones lead to net carbon absorption or release by the ocean, and does it matter?

Located in the middle of the North Pacific, between Japan and Canada, lies one of the world's largest oceanic plateaus, the so-called Hess Rise. The plateau is roughly T-shaped and extends over a length of about 1,000 kilometers. Due to its distance from the nearest mainland, the research area at Hess Rise is difficult to access and has therefore been the destination of only a few expeditions to date.

SummaryImages of the Earth’s interior can provide us with insight into the underlying properties of the Earth, such as how seismic activity might emerge and the interplay between seismic and volcanic activity. Understanding these systems requires reliable high-resolution images to understand mechanisms and estimate physical quantities. However, reliable images are often difficult to obtain due to the non-linear nature of seismic wave propagation and the ill-posedness of the related inverse problem. Reconstructions rely on good initial estimates as well as hand-crafted priors, which can ultimately bias solutions. In our work, we present a 3D reconstruction of Kilauea’s magmatic system at a previously unattained resolution. Our eikonal tomography procedure improves upon prior imaging results of Kilauea through increased resolution and per-pixel uncertainties estimated through variational inference. In particular, solving eikonal imaging using variational inference with stochastic gradient descent enables stable inversion and uncertainty quantification in the absence of strong prior knowledge of the velocity structure. Our work makes two key contributions: developing a stochastic eikonal tomography scheme with uncertainty quantification and illuminating the structure and melt quantity of the magmatic system that underlies Kilauea.

SummaryThe global energy transition has created an urgent need for expanded critical mineral supply. Projected production from existing deposits and current discovery rates remains insufficient to meet this demand. More efficient exploration strategies are therefore required, particularly in optimizing costly and low-success-rate data acquisition campaigns. To address this challenge, we introduce the concept of sequential Efficacy of Information (sequential EOI), a decision-making metric that quantifies the uncertainty reduction of target variables under proposed exploration action sequences. Unlike Value of Information (VOI), sequential EOI operates in the domain of uncertainty reduction, removing the need for an economic model that is rarely available in early-stage exploration. We demonstrate the framework using synthetic 2D and more realistic 3D porphyry copper systems, evaluating sequential combinations of exploration plans including ambient noise tomography (ANT) surveys and borehole drilling campaigns. In both cases, sequential EOI identified exploration plans that maximized the uncertainty reduction to the target variables. These results demonstrate that sequential EOI offers a principled framework for multi-physics, multi-step, and uncertainty-driven plan optimization in mineral exploration, providing exploration teams with a practical and scalable decision-analytic tool for rational campaign design without requiring economic assumptions.