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Induced Polarization effects in fixed-wing airborne EM: the TEMPESTTM system – Part B, field data inversion from regional targeting to deposit-scale characterization

Geophysical Journal International - Wed, 02/04/2026 - 00:00
SummaryThis paper is the second part of a series examining the effects of ground polarization in airborne electromagnetic (AEM) data collected with fixed-wing platforms. Induced polarization (IP) effects can be detected using airborne electromagnetic methods; however, most geophysical studies have focused on helicopter-borne systems whose sensitivity to subsurface polarizable features is well established. In contrast, the potential of fixed-wing AEM systems for IP detection remains largely unexplored, and their effects have not yet been modelled. Building on Part A of this series, which examined the sensitivity of TEMPEST™ system to ground chargeability with numerical analysis and dataspace inspection, we extend the study using field survey data to model subsurface IP effects in inversion. This study is defined at three different exploration scales: deposit scale, survey-line and regional scale. The first experiment focuses on a comparative modelling analysis between the TEMPEST™ and SkyTEM312FAST helicopter-borne system along two overlapping survey lines. The results show highly comparable chargeability and resistivity distributions, with consistent outcomes across the TEMPEST™ measured components (X and Z) and with geological interpretation of the area. These findings demonstrate that fixed-wing AEM can effectively resolve IP anomalies with resolution and depth penetration similar to helicopter-borne systems, despite differences in acquisition geometry and system design. Then, to assess regional-scale applicability, the entire Musgrave Province in South Australia was inverted incorporating IP effects and comparing the results with the non-IP modelling of the area. The IP modelling shown a systematically reduction of inversion misfit, when compared with non-AIP modelling with differences between the resistivity models higher than 100%. To conclude, the ground truthing of regional modelling has been carried over the well-characterized Nemo-Babel mineralization. This confirmed that TEMPEST™ derived chargeability anomalies align closely with known mineralized zones, validating both spatial accuracy and correspondence with mineralization of the modelled resistivity and chargeability. Overall, this study demonstrates that fixed-wing AEM platforms, such as TEMPEST™, can detect and quantify ground chargeability from regional to deposit scale, providing a valuable tool to target exploration and to characterize mineralized bodies.

Under snowpacks, microbes drive a winter-to-spring nitrogen pulse, study finds

Phys.org: Earth science - Tue, 02/03/2026 - 21:40
When snow blankets the landscape, it may seem like life slows down. But beneath the surface, an entire world of activity is unfolding.

Study highlights stressed faults in potential shale gas region in South Africa

Phys.org: Earth science - Tue, 02/03/2026 - 19:41
A swarm of small earthquakes within the Karoo Basin in South Africa has revealed a critically stressed fault that could be perturbed by potential shale gas exploration in the area, according to a new report. The analysis by Benjamin Whitehead of the University of Cape Town and colleagues concludes that the Karoo microseismicity occurred along a buried fault that may extend through sedimentary layers to the crystalline bedrock, which would increase its vulnerability to stresses produced by shale gas exploration.

Dynamics of submicrometric dust grains in Mercury’s exosphere

Publication date: 1 February 2026

Source: Advances in Space Research, Volume 77, Issue 3

Author(s): Alberto Flandes, Harald Krüger

The IRIS reflectance IR database for space missions

Publication date: 1 February 2026

Source: Advances in Space Research, Volume 77, Issue 3

Author(s): I. Weber, M.P. Reitze, T. Heyer, A. Morlok, T. Grund, H. Hiesinger

Cislunar resonant transport and heteroclinic pathways: From 3:1 to 2:1 to L1

Publication date: 1 February 2026

Source: Advances in Space Research, Volume 77, Issue 3

Author(s): Bhanu Kumar, Anjali Rawat, Aaron J. Rosengren, Shane D. Ross

Attitude estimation of uncontrolled space objects: A Bayesian-informed swarm intelligence approach

Publication date: 1 February 2026

Source: Advances in Space Research, Volume 77, Issue 3

Author(s): Jorge Rubio, Adrián de Andrés, Carlos Paulete, Ángel Gallego, Diego Escobar

Spectral changes of the NWA 10580 meteorite under simulated space weathering: Insights from VIS–NIR and microXRD analyses

Publication date: 1 February 2026

Source: Advances in Space Research, Volume 77, Issue 3

Author(s): Ákos Kereszturi, Ildikó Gyollai, Sándor Biri, Zoltán Juhász, Bernadett D. Pál, Richárd Rácz, Dániel Rezes, Béla Sulik, Máté Szabó, Péter Szávai, Zoltán Szalai

Deep recurrent neural network-based satellite indirect pose tracking with adaptive Huber loss

Publication date: 1 February 2026

Source: Advances in Space Research, Volume 77, Issue 3

Author(s): Zilong Chen, Qianzhi Li, Rui Zhong, Haichao Gui

Dual-temporal adversarial self-supervised BiLSTM for satellite telemetry fault detection with cost-sensitive learning

Publication date: 1 February 2026

Source: Advances in Space Research, Volume 77, Issue 3

Author(s): Chengqian Wu, Caisheng Wei, Jianhua Wang, Pengfei Guo, Chuan Ma, Xia Wu

Numerical differentiation approaches for kinematic orbit solutions

Publication date: 1 February 2026

Source: Advances in Space Research, Volume 77, Issue 3

Author(s): P.R. Zapevalin, V.E. Zharov

Neuroadaptive predefined-time 6-DOF integrated tracking control for spacecraft proximity operations with pose constraints

Publication date: 1 February 2026

Source: Advances in Space Research, Volume 77, Issue 3

Author(s): Yu Wang, Kang Liu, Yuquan Chen

Anti-unwinding immersion and invariance adaptive control for spacecraft attitude tracking

Publication date: 1 February 2026

Source: Advances in Space Research, Volume 77, Issue 3

Author(s): Xuan Peng, Fengli Dai

GRACE-FO gravity field recovery from integer ambiguity resolved kinematic orbits and decorrelated stochastic model

Publication date: 1 February 2026

Source: Advances in Space Research, Volume 77, Issue 3

Author(s): Geng Gao, Wei Zheng, Yongjin Sun, Jiankang Du, Yongqi Zhao, Minxing Zhao

Ozone-depleting CFCs detected in historical measurements—20 years earlier than previously known

Phys.org: Earth science - Tue, 02/03/2026 - 18:56
An international research team led by the University of Bremen has detected chlorofluorocarbons (CFCs) in Earth's atmosphere for the first time in historical measurements from 1951—20 years earlier than previously known. This surprising glimpse into the past was made possible by analyzing historical measurement data from the Jungfraujoch research station in the Swiss Alps. The study has now been published in Geophysical Research Letters.

Solid, iron-rich megastructure under Hawaii slows seismic waves and may drive plume upwelling

Phys.org: Earth science - Tue, 02/03/2026 - 17:20
Mantle plumes beneath volcanic hotspots, like Hawaii, Iceland, and the Galapagos, seem to be anchored into a large structure within the core-mantle boundary (CMB). A new study, published in Science Advances, takes a deeper dive into the structure under Hawaii using P- and S-wave analysis and mineralogical modeling, revealing its composition and properties.

Global warming is speeding breakdown of major greenhouse gas, research shows

Phys.org: Earth science - Tue, 02/03/2026 - 16:12
Scientists at the University of California, Irvine have discovered that climate change is causing nitrous oxide, a potent greenhouse gas and ozone-depleting substance, to break down in the atmosphere more quickly than previously thought, introducing significant uncertainty into climate projections for the rest of the 21st century.

Accurately predicting Arctic sea ice in real time

Phys.org: Earth science - Tue, 02/03/2026 - 16:00
Arctic sea ice has large effects on the global climate. By cooling the planet, Arctic ice impacts ocean circulation, atmospheric patterns, and extreme weather conditions, even outside the Arctic region. However, climate change has led to its rapid decline, and being able to make real-time predictions of sea ice extent (SIE)—the area of water with a minimum concentration of sea ice—has become crucial for monitoring sea ice health.

Tsunamis from the Sky

EOS - Tue, 02/03/2026 - 14:26
Editors’ Vox is a blog from AGU’s Publications Department.

Meteorological tsunamis, or meteotsunamis, are long ocean waves in the tsunami frequency band that are generated by traveling air pressure and wind disturbances. These underrated phenomena pose serious threats to coastal communities, especially in the era of climate change.

A new article in Reviews of Geophysics explores all aspects of meteotsunamis, from available data and tools used in research to the impacts on coastal communities. Here, we asked the authors to give an overview of these phenomena, how scientists study them, and what questions remain.

In simple terms, what are meteorological tsunamis or “meteotsunamis”?

Meteotsunamis are tsunami-like waves that are not generated by earthquakes or landslides, but by atmospheric processes.

Meteotsunamis are tsunami-like waves that are not generated by earthquakes or landslides, but by atmospheric processes. Their formation requires a strong air pressure or wind disturbance—typically characterized by a pressure change of 1–3 hectopascals over about five minutes—that propagates at a “perfect” speed, allowing long ocean waves to grow. In addition, coastal bathymetry must be sufficiently complex to amplify the incoming waves.

Meteotsunamis are less well known and, fortunately, are generally less destructive than seismic tsunamis. Nonetheless, they can reach wave heights of up to 10 meters and can be highly destructive. One of the most damaging events occurred on June 21, 1978, in Vela Luka, Croatia, where damages amounted to about 7 million US dollars at the time. Meteotsunamis can also cause injuries and fatalities, as unfortunately occurred on January 13, 2026, during the recent Argentina meteotsunami.

What kinds of hazards do meteotsunamis pose to humans and society?

Meteotsunamis are characterized by multi-meter sea level oscillations and, at times, strong currents. As a result, they can flood waterfront areas and households, while strong currents may break ship moorings and disrupt maritime traffic, as occurred in 2014 in Freemantle, Australia. An even greater danger comes from rip currents, which can sweep swimmers away from shore. A notable example is the July 4, 2003, meteotsunami that occurred under clear skies along the beaches of Lake Michigan and claimed seven lives.

Figure 1. Photos from the 1978 Vela Luka meteotsunami, with labeled eyewitness wave height and household’s damage inventory. Credit: Vilibić et al. [2025], Figure 12

How do scientists observe, measure, and reproduce meteotsunamis?

Much of the information on meteotsunamis comes from post-event observations. Following exceptionally strong events, scientists often visit affected locations to conduct field surveys, interview eyewitnesses, collect photos and videos, and estimate the extent and height of the meteotsunami along the coast. More precise information comes from coastal tide gauges and ocean buoys, as well as meteorological observations with at least minute-scale resolution.

Unfortunately, standard atmospheric and oceanic observing systems do not commonly operate at such high temporal resolution. For example, one of the oldest national networks—the UK tide gauge network operating for decades—still uses 15-minute sampling intervals. At the same time, most national meteorological services measure atmospheric variables at 10-minute or even hourly resolution, which is insufficient for meteotsunami research. Nevertheless, some oceanic and meteorological networks do provide appropriate sampling intervals, and even data from school-based or amateur networks can be valuable for research.

In addition, numerical modeling of meteotsunamis is now standard practice and includes both atmospheric and oceanic components. However, accurately reproducing meteotsunami-generating atmospheric processes—and thus meteotsunamis themselves—remains challenging. Addressing this issue and developing more accurate, high-resolution models is a key task for the modeling community.

Why has research on meteotsunamis shifted from localized to a global approach?

Figure 2. Map with known occurrences of meteotsunamis. Size of the star is proportional to the meteotsunami intensity. Credit: Vilibić et al. [2025], Figure 4

The strength of meteotsunamis strongly depends on coastal bathymetry. Within a specific bay, wave heights can reach several meters, while just outside the bay they may be only a few tens of centimeters. For this reason, meteotsunamis were historically observed and studied mainly at individual locations, known as meteotsunami hot spots. Over the past few decades, however, advances in monitoring and modeling capabilities, along with easier global dissemination of scientific results, have revealed that the same phenomenon occurs worldwide. Moreover, the recent availability of hundreds of multi-year, minute-scale sea level records has enabled researchers to conduct global studies and quantify worldwide meteotsunami patterns.

What are the primary ways that meteotsunamis are generated?

The generation of a strong meteotsunami requires (i) an intense, minute-scale air-pressure or wind disturbance that propagates over long distances (tens to hundreds of kilometers), (ii) an ocean region where energy is efficiently transferred from the atmosphere to the ocean, for example through Proudman resonance—a process in which long ocean waves grow strongly when the speed of the atmospheric disturbance matches the speed of tsunami waves, and (iii) coastal bathymetry capable of strongly amplifying long ocean waves. Funnel-shaped bays are particularly prone to meteotsunamis. These events can also be generated by explosive volcanic eruptions, such as the Hunga Tonga–Hunga Haʻapai eruption in January 2022, which produced a planetary-scale meteotsunami.

How is climate change expected to influence meteotsunamis?

At present, this is not well understood. Only two published studies exist, and both suggest a possible increase in meteotsunami intensity in the future due to an increased frequency of atmospheric conditions favorable for meteotsunami generation. However, no global assessment is currently available, as climate models are still unable to reliably reproduce the kilometer- or sub-kilometer-scale processes required to simulate meteotsunamis.

What are some of the recent advances in forecasting meteotsunamis?

Some progress has been made, but effective forecasting and early-warning systems for meteotsunamis remain far from operational. Improvements in atmospheric numerical models—currently the main source of uncertainty in meteotsunami simulations and forecasts—are expected in the coming decades, particularly through the development of new parameterization schemes that better represent turbulence-scale processes.

How does your review article differ from others that have covered meteotsunamis?

Our review introduces a new class of meteotsunamis generated by explosive volcanic eruptions.

The most recent comprehensive review of meteotsunamis was published nearly 20 years ago, making this review a timely synthesis of the substantial advances made over the past two decades. In addition, our review introduces a new class of meteotsunamis generated by explosive volcanic eruptions, such as the Hunga Tonga–Hunga Haʻapai event in January 2022. Such events were previously only sporadically noted, as the last comparable eruption occurred in 1883 with the Krakatoa volcano. Finally, recent findings show that meteotsunamis—much like seismic tsunamis—can radiate energy into the ionosphere, where it can be detected using ground-based GNSS (Global Navigation Satellite System) stations. This discovery opens a new avenue for future meteotsunami research.

What are some of the remaining questions where additional research efforts are needed?

Many challenges remain in the observation, reproduction, and forecasting of meteotsunamis. Most are closely linked to technological advancements, such as (i) the need for dense, continuous, minute-scale observations of sea level and meteorological variables across the ocean and over climate-relevant time scales, (ii) increased computational power, since sub-kilometer atmosphere–ocean models require enormous resources, potentially addressable through GPU acceleration or future quantum computing, and (iii) the development of improved parameterizations for numerical models at sub-kilometer scales. Ultimately, extending research toward climate-scale assessments of meteotsunamis is essential for accurately evaluating coastal risks associated with sea level rise and future extreme sea levels, which currently do not account for minute-scale oscillations such as meteotsunamis.

—Ivica Vilibić (Ivica.vilibic@irb.hr, 0000-0002-0753-5775), Ruđer Bošković Institute & Institute for Adriatic Crops, Croatia; Petra Zemunik Selak (0000-0003-4291-5244), Institute of Oceanography and Fisheries, Croatia; and Jadranka Šepić (0000-0002-5624-1351), Faculty of Science, University of Split, Croatia

Editor’s Note: It is the policy of AGU Publications to invite the authors of articles published in Reviews of Geophysics to write a summary for Eos Editors’ Vox.

Citation: Vilibić, I., P. Zemunik Selak, and J. Šepić (2026), Tsunamis from the sky, Eos, 107, https://doi.org/10.1029/2026EO265002. Published on 3 February 2026. This article does not represent the opinion of AGU, Eos, or any of its affiliates. It is solely the opinion of the author(s). Text © 2026. The authors. 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.

New model predicts the melting of free-floating ice in calm water

Phys.org: Earth science - Tue, 02/03/2026 - 14:20
A pair of US researchers have developed a new model to tackle a deceptively simple problem: how a small block of ice melts while floating in calm water. Using an advanced experimental setup, Daisuke Noto and Hugo Ulloa at the University of Pennsylvania have captured the intricate dynamics that underlie this everyday process—work that could ultimately pave the way for more accurate predictions of melting sea ice. The study has been published in Science Advances.

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