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Full waveform inversion with CNN-based velocity representation extension

Geophysical Journal International - Sat, 01/24/2026 - 00:00
SummaryFull waveform inversion (FWI) updates the velocity model by minimizing the discrepancy between observed and simulated data. However, incomplete seismic acquisition can introduce errors that propagate through the adjoint operator, affecting the accuracy of the velocity gradient and reducing the convergence accuracy and speed. To mitigate the influence of acquisition-related noise on the gradient, we employ a convolutional neural network (CNN) to extend the velocity representation and refine the velocity model before forward simulation, thus reducing gradient noise and providing a more accurate velocity update direction. The same data misfit loss is used to update both the velocity and the network parameters, forming a self-supervised learning procedure. Here, the CNN acts as a dynamic velocity conditioner that is optimized to help fit the data. In this method, the velocity representation is extended (VRE) by combining a neural network with conventional grid-based velocities. Thus, we refer to this general approach as VRE-FWI. Synthetic and real data tests demonstrate that the proposed VRE-FWI achieves higher velocity inversion accuracy compared to traditional FWI, with only a marginal additional computational cost ∼1%.

Characterizing magnetic fabrics from ~116 Ma old Salma dike, India: Implication for magma flow direction

Geophysical Journal International - Sat, 01/24/2026 - 00:00
AbstractAnisotropy of magnetic susceptibility (AMS) analysis is widely used as an efficient petro-fabric tool to infer magma flow patterns within dikes. However, interpretations of magnetic fabric often get complicated by the occurrence of anomalous (intermediate/inverse) fabrics oriented normal to the dike plane, which may lead to uncertainty, unlike the straightforward normal fabrics along the intrusion plane. In this article, we present a detailed rock-magnetic and magnetic fabric study of India’s ~116 Ma old Salma dike, which is the most prominent and longest dike related to the early Cretaceous Rajmahal Trap (RT) volcanism. A joint analysis of in-phase and out-of-phase anisotropy of magnetic susceptibility (i.e. ipAMS and opAMS) and anhysteretic remanent magnetization (AARM) fabrics allowed us to identify the different sources of the observed fabric and subfabrics. Rock-magnetic analyses suggest that the magnetic mineralogy consists of at least two types of titanomagnetite with varying Ti-content. FORC suggests that the dike is dominated by PSD grains with varying influence from SD grains. The ipAMS fabric is primarily carried by SD grains of low-Ti titanomagnetite, while opAMS is governed by larger MD/PSD titanomagnetite with higher-Ti content. Results indicate that anomalous, intermediate-type ipAMS fabrics, particularly along the dike margins, are caused as a combined effect of SD grains, late-stage crystallization, and mild high-temperature oxidation. At the dike center, post-emplacement alteration, intense exsolution of the primary titanomagnetite, and magma backflow are responsible for anomalous fabrics. In contrast, the majority of normal ipAMS, opAMS, and AARM fabrics are coaxial, providing a reliable record of magma flow as confirmed from the long axes trend distribution of the plagioclase laths along the dike plane. These fabrics reveal a dominant subvertical magma flow direction during emplacement, indicating magma ascent from depth. Even though the magnetic fabrics do not unequivocally constrain the deeper processes underneath Moho, they are compatible with the idea of a subcrustal magmatic layer beneath the region, potentially originating from decompression melting or the influence of the Kerguelen plume, to be the feeder source.

Q&A: Achieving a carbon neutral society through freshwater carbon research

Phys.org: Earth science - Fri, 01/23/2026 - 22:50
CO2 that has been absorbed and accumulated in fresh water areas like lakes and reservoirs—is receiving attention for its potential contributions to achieving a carbon neutral society. Kobe University is a hub for freshwater carbon research, with Graduate School of Engineering Professor Nakayama Keisuke, an expert in aquatic and environmental engineering, at the forefront.

Conservation may not be enough to sustain water supplies, researchers find

Phys.org: Earth science - Fri, 01/23/2026 - 17:02
As temperatures rise and water supplies drop, public policy could bolster municipal water provisions under pressure. But one policy prescription—pushing conservation—will likely be insufficient as a standalone fix to sustain some reservoirs, according to research led by scientists at Penn State.

Florida reefs offer multimillion-dollar flood protection—if they survive

Phys.org: Earth science - Fri, 01/23/2026 - 14:16
It's no secret that Florida's iconic coral reefs are in trouble. Repeated body blows from hurricanes, pollution, disease, climate change—and a near-knockout punch from a 2023 marine heat wave—has effectively wiped several species off the map and shrunk the reefs that stretch from the Keys throughout South Florida.

Kyanite Exsolution Reveals Ultra-Deep Subduction of Continents

EOS - Fri, 01/23/2026 - 14:00
Editors’ Highlights are summaries of recent papers by AGU’s journal editors. Source: Journal of Geophysical Research: Solid Earth

Understanding how deep continental rocks can be subducted into the Earth’s mantle is essential to understand lithospheric recycling, reconstructing deep subduction and exhumation processes. Minerals formed at great depths often preserve microscopic “exsolution” features, where one mineral separates out from another during cooling or decompression, but their interpretation has remained debated.

Li et al. [2025] performed the first systematic laboratory experiments on kyanite exsolution from aluminiferous stishovite, a high-pressure polymorph of SiO2 (silicon dioxide) stable at depths exceeding 300 kilometers. The experiments show that aluminum almost completely separates from stishovite to form kyanite during decompression, producing distinctive microscopic textures. These findings address a long-standing debate about whether a specific crystallographic relationship between exsolved phases and their host mineral is required to identify exsolution microstructures.

Importantly, the study demonstrates that a strict crystallographic alignment between the host mineral and exsolved phases is helpful but not always required to identify true exsolution. These results provide a robust experimental framework for interpreting similar microstructures observed in natural rocks. Overall, the findings offer compelling new evidence that continental rocks can undergo ultra-deep subduction into the mantle depths of at least about 300 kilometers and later be exhumed back to the Earth’s surface.

Citation: Li, X., Wang, C., Liu, L., Kang, L., Xu, H. J., Zhang, J., et al. (2025). Kyanite exsolution from aluminiferous stishovite in laboratory experiments: New insights into continental ultra-deep subduction. Journal of Geophysical Research: Solid Earth, 130, e2025JB031612. https://doi.org/10.1029/2025JB031612

—Jun Tsuchiya, Editor; and Sujoy Ghosh, Associate Editor, JGR: Solid Earth

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.

Discovering Venus on Iceland

EOS - Fri, 01/23/2026 - 13:54

In August 2023, 18 scientists and engineers spent 15 days in barren regions of Iceland to test how well instruments on the VERITAS (Venus Emissivity, Radio Science, InSAR, Topography, and Spectroscopy) spacecraft will perform when investigating the surface of Venus from orbit. This testing was a critical step in developing procedures to enhance the science output of the mission, which will provide the first new data about the planet’s surface in more than 3 decades.

Iceland might not seem an obvious choice as an analogue for Venus.

Among other tasks, the team—including us—traversed rugged Icelandic terrain to sample lava flows for analysis on-site and, later, in the lab. We also used on-the-ground observations of the flows to calibrate and verify corresponding airborne-detected radar signatures, information that will be used to help interpret the radar data they collect on the Venus mission.

At first glance, Iceland might not seem an obvious choice as an analogue for Venus. After all, Iceland is cool, wet, and near the Arctic Circle. Venus is famous for its extremely hot and dry surface, where average temperatures are roughly 870°F (465°C). Yet the two share key commonalities as well.

Iceland is covered in basalt, the same rock that’s thought to make up the low-lying plains on Venus. Also, Iceland is underlain by an active mantle plume that feeds its volcanic vents, and Venus too shows evidence of having mantle plumes below its surface. With these similarities, scientists can make direct comparisons between the diverse morphologies, compositions, and signatures of Icelandic lava flows and those of flows on Venus. Such comparisons are needed to ensure that we can accurately interpret the data VERITAS sends back to answer long-standing questions about our most Earth-like neighbor.

Reading the Radar Signals

Magellan, the last mission to observe Venus’s surface, ended more than 31 years ago after spending 4 years in orbit. Data from Magellan offered unprecedented glimpses of the planet and opened new lines of inquiry for scientists. However, these data are relatively low resolution by today’s standards, complicating efforts to resolve surface features and understand how they relate to Venus’s geologic past.

In June 2021, NASA selected the Discovery-class VERITAS mission as a long-awaited follow-up to Magellan because its suite of instruments have the potential to reveal the processes that caused the evolution of Venus and Earth to diverge. While Venus likely once had surface water and a planetary dynamo, these essential elements of habitability are long gone. However, tectonism and volcanism, driven by robust internal heat production with associated outgassing, probably persist today, as suggested by evidence in a recent study. If Venus has active volcanism and tectonism, then VERITAS should be able to confirm that identification and to detect surface activity that has occurred since Magellan’s visit, such as new volcanic flows and fault scarps.

The VERITAS payload includes a synthetic aperture radar (SAR) platform to view the planet’s surface and to make topographic measurements using a technique called single-pass radar interferometry. Venus’s thick atmosphere precludes the use of visible light imaging for these purposes, leaving SAR as the only current way to observe its surface over wide areas at high resolution.

Like other radar systems, space-based SAR works by transmitting radio waves to a planet and then detecting signals reflected back to a receiver, which gives information about the surface. Radar data are fundamentally different from visible imagery, as the brightness of radar returns depends not only on surface material properties such as albedo and color, but also on surface roughness and electrical permittivity, and on other effects such as the polarization of radar signals and their penetration into a planet’s surface.

Topography is a key metric for unlocking the geologic processes that have shaped the evolutionary history of a planet.

This complexity makes it difficult to determine the geological properties of structures on Venus’s surface directly from their radar signatures. It is impossible to tell from orbital data alone whether any particular radar signature is caused by a rock’s roughness or its composition, because we do not have samples of Venus to test.

Topography is a key metric for unlocking the geologic processes that have shaped the evolutionary history of a planet. Existing topographic data from Venus were obtained by radar altimetry during Magellan at a spatial resolution of 15–20 kilometers and a vertical accuracy of 80–100 meters, each over an order of magnitude coarser than what’s available for other terrestrial bodies.

VERITAS will measure topography using single-pass radar interferometry with a spatial resolution of 240 meters and a vertical accuracy of 5 meters, which is in line with data from the Moon, Mars, and Mercury. This sharper view will dramatically improve scientists’ ability to compare Venus with these bodies and help decipher why it evolved so differently from Earth.

In addition to its radar capabilities, VERITAS’s Venus Emissivity Mapper (VEM) spectrometer will provide the first global-scale view of surface rock types, allowing discrimination of felsic from mafic rocks based on their iron content. These data will help scientists answer key questions about Venus’s history of volcanism and how it shaped the planet’s young surface, as well as about whether large plateaus called tesserae have a similar composition and origin as Earth’s continents (and whether they formed in the presence of water).

What Are Venus’s Rocks Made Of?

Geologic maps of Earth represent the composition and age of rocks in defining geologic units. On Venus, geologic units have been defined based on radar imagery alone, so scientists have had to make assumptions about the composition and formation of features by comparing their morphologies to those of well-known terrestrial features. However, without accurate knowledge of what the Venus rocks are made of, it is difficult to confirm hypotheses of the planet’s geologic history.

  • The VERITAS field campaign explored remote regions of Iceland and encountered rugged conditions. Specialized off-road vehicles were required to access the field areas studied. Credit: Gaetano Di Achille
  • Team members sometimes had to drive through running streams, as seen here on the drive from Mývatn to Askja. Credit: Debra Buczkowski
  • The field team cooked, ate, slept, socialized, and analyzed data at campsites comprising two large tents surrounded by smaller personal tents for sleeping. Credit: Debra Buczkowski
  • Terrain in several areas, including here at Askja, was extremely rough, which made for difficult hiking. Credit: Debra Buczkowski

Unlike with Mars or the Moon, ground truth of Venus orbital data is severely limited. The thick atmosphere obstructs remote sensing of rock composition from orbit. And past landers have not survived long enough on the surface to perform extensive testing, primarily because of the extremely hostile temperatures and atmospheric pressure (90 times that of Earth’s) at the surface. The VERITAS field campaign was therefore intended as a reality check, to test our geologic interpretations of radar observations.

Iceland’s extensive lava fields host a variety of volcanic and tectonic features similar to those observed on Venus.

The first goal of the campaign was to improve our ability to process, analyze, and interpret VERITAS-like data for the purpose of understanding Venus’s geology. The expedition in Iceland was an opportunity to create a library of radar signatures associated with specific surface features in volcanic landscapes, with direct measurements of both roughness and composition. The second goal was to test the methodologies and the approach that VERITAS will use to detect surface changes when it arrives at Venus.

Iceland’s extensive lava fields host a variety of volcanic and tectonic features similar to those observed on Venus, making them excellent choices as Venus analogues. The comparative lack of both vegetation and erosion at these sites makes them more comparable to those on Venus than basaltic lava fields elsewhere on Earth. In addition, the relative ages of different Icelandic lava flows are known and well documented, which allows us to determine whether radar data can be reliably used to tease out the ages of flows on Venus.

Three Sites, Three Environments

We focused the field campaign on three main basaltic lava flow fields: Askja, Holuhraun, and Fagradalsfjall. The diversity of geologic landforms within these sites enabled study of a range of features analogous to those that VERITAS will target on Venus. These features include plains volcanism, lobate flows, lava morphologies such as pāhoehoe and a’a, compositions ranging from basaltic to rhyolitic, pyroclastic airfall and wind-driven sedimentary deposits covering volcanic bedrock, tectonic rifts, and small-scale graben. The study areas also allowed us to investigate landforms created by interactions between sediment, tectonic structures, and lava flows and how these features appear in SAR data collected from orbit at different signal frequencies and incidence angles.

  • The lava fields studied during the field campaign included Askja and Holuhraun, in Iceland’s central highlands, and Fagradalsfjall, on the Reykjanes Peninsula in the country’s southwest (top left). White lines within the red boxes represent the flight lines flown by the German Aerospace Center (DLR) to collect synthetic aperture radar (SAR) data. Credit: Dan Nunes (map imagery and data: Google, IBCAO, Landsat, Copernicus, SIO, NOAA, U.S. Navy, NGA, GEBCO)
  • A tripod-mounted lidar instrument was used to take topographic measurements at all field sites, including here at Holuhraun. Credit: Sue Smrekar
  • Researchers collect lidar measurements at the Fagradalsfjall field site. Credit: Dan Nunes
  • Field campaign team members work with lidar instrumentation at the Askja site. Orange flags served as tie points for georeferencing the lidar images to airborne radar data. Credit: Debra Buczkowski

The Askja lava field, located in Iceland’s central highlands, is sourced from a central volcano and includes multiple areas with differing textures due to variations in the extent of sedimentation and erosion. Some Askja flows are covered with rhyolitic tephra and basaltic sand, offering additional textural and compositional diversity for study. Volcanism has occurred in the area for thousands of years, with the youngest flow (Vikrahraun) erupting in 1961.

Although geographically close to Askja, the Holuhraun lava field is sourced from a different magmatic reservoir and erupted from fissures. Sand sheets interact with the edges of the Holuhraun flows, especially along their northern boundary. The field also includes an extremely rough flow that was emplaced only about 10 years ago (2014–2015).

Located in southwestern Iceland on the Reykjanes Peninsula, the flows at Fagradalsfjall are even more recent, erupting from fissures starting in 2021 and continuing through 2025. (In fact, Fagradalsfjall was actively erupting at the beginning of the field campaign.) These recent flows, including pāhoehoe flows, are significantly smoother than those at Holuhraun and, because of their young age, have relatively little sediment coverage. Lava ponds and channels are also common here.

Air and Ground Campaigns The F-SAR sensor was installed on DLR’s Dornier 228 aircraft and flown out of Keflavik International Airport (left). The radar antenna mount is on the side of the fuselage just aft of the rear wheels. One of three trihedral radar reflectors deployed for use as reference targets during the campaign is seen at right. Credit: Marc Jaeger

The field campaign comprised both airborne and ground components. The German Aerospace Center (DLR), one of several agencies partnering with NASA on VERITAS, ran the airborne component, flying their F-SAR sensor aboard a twin-propeller plane to collect SAR data at three wavelengths (X-, S-, and L-band) at the same time the ground campaign team members visited each site.

The extensive multifrequency SAR dataset that DLR acquired covers the diverse geological features of the three lava fields and includes imagery that represents the differing spatial and vertical resolution capabilities of the Magellan and VERITAS missions, as well as those of the upcoming European Space Agency EnVision mission to Venus. Figure 1 shows an example of derived F-SAR topographic data for a lava flow at Holuhraun at simulated Magellan and VERITAS resolutions. Whereas the Magellan-like data only allow determination of the general slope of the landscape over a spatial scale of tens of kilometers, the VERITAS-like data enable spatial and vertical discrimination of distinct geologic units.

Fig. 1. A radar backscatter image above the Askja and Holuhraun lava fields (left) is seen here beside digital elevation models (DEM) produced with SAR topographic data at resolutions simulating those of Magellan radar altimeter data (center) and VERITAS radar altimeter data (right). White arrows point to the Holuhraun flow boundaries in all three images. Whereas at Magellan resolution, only a general regional slope can be discerned, at VERITAS resolution, it’s possible to pick out individual lava flows as well as Vaðalda Mountain. Credit: Scott Hensley

F-SAR operations also included deploying radar reflectors that were used as reference targets and regularly imaged to monitor sensor calibration and instrument stability throughout the campaign. In addition, a subset of the raw SAR data acquired was processed on-site within hours of each flight, providing imagery to inform the field teams’ site selection and prioritization within each lava field.

Team members braved river crossings and trekked across often-jagged rocks to take samples and collect information on the surface roughness and composition of the rocks being scanned from the air.

Concurrent with the radar data collection, VERITAS team members braved river crossings and trekked across often-jagged rocks to take samples and collect information on the surface roughness and composition of the rocks being scanned from the air. We simultaneously used lidar scanners to take topographic measurements at all field sites to compare with radar detections and a probe to determine electrical permittivity in sedimented areas. These measurements allowed us to determine how much of the radar backscatter signature at each site was due to the permittivity, rather than to roughness.

In addition, we used a field prototype of VERITAS’s VEM instrument, called the Vemulator, on-site to identify different rock types and compositions. Rock and sediment samples from all field sites were later tested in the lab to confirm field measurements of composition and permittivity, including those from the Vemulator.

Details Come into Focus

Following the field campaign, team members produced maps of the lava flows at all three sites based solely on the radar data, exactly as Venus researchers have made geologic maps of Venus using Magellan data. The new maps were made at three different resolutions: the resolution of the old Magellan data, the resolution of the VERITAS SAR, and the highest resolution available with the data collected during the campaign.

The improvement in SAR resolution from Magellan to VERITAS will permit observations of previously unidentified features on Venus (Figures 2 and 3). Views of the Holuhraun flow at Magellan resolution, for example, are too coarse to discern distinct lava flow units, or facies, whereas at the VERITAS resolution, separate facies, a small vent, and several lava ponds can be distinguished. Being able to identify similar features on Venus will allow us to detect changes on the surface since Magellan’s visit that would indicate recent volcanism, helping to better understand the planet’s volcanic history.

Fig. 2. SAR imagery of the Holuhraun flow is seen here at Magellan’s lower resolution and VERITAS’s higher resolution. In the latter case, lava ponds and a volcanic vent are observed (white arrows). Black boxes indicate the southwestern part of the flow that’s magnified in Figure 3. Credit: Debra Buczkowski Fig. 3. Even when magnified, no features within the Holuhraun flow can be discerned at Magellan resolution, whereas at VERITAS resolution, the volcanic vent (white arrow) and distinct flows coming from it are visible, as are other flow facies. Credit: Debra Buczkowski

Comparing our new aerial-radar-derived maps of the Iceland field sites with published maps based on ground observations enabled us to assess how well our flow boundaries matched what’s seen from the ground. In addition, we were able to determine how similar the observed radar properties were to actual flow composition and roughness. Once the flow boundaries were defined in the SAR datasets, we could also determine how overlying sediment influenced the radar appearances of different lava flows. This information could provide insight into how ashfalls or pyroclastic materials on Venus might obscure or alter the radar signature of underlying rocks.

When it arrives at its destination, VERITAS will create foundational datasets of high-resolution imaging, topography, and spectroscopy of Venus.

When it arrives at its destination, VERITAS will create foundational datasets of high-resolution imaging, topography, and spectroscopy of Venus. These datasets will be on par with those that have revolutionized our understanding of Mercury, Mars, and the Moon.

The 2023 field campaign served as both a test of the VERITAS instruments and a demonstration of what their improved capabilities will offer at Venus. Indeed, the campaign’s success demonstrated how VERITAS will make new discoveries and improve our knowledge of the planet’s past and present, and that it could lay the groundwork to optimize the science return of future Venus missions.

Author Information

Debra L. Buczkowski (debra.buczkowski@jhuapl.edu), Johns Hopkins Applied Physics Laboratory, Laurel, Md.; Jennifer L. Whitten, National Air and Space Museum, Smithsonian Institution, Washington, D.C.; Scott Hensley and Daniel C. Nunes, Jet Propulsion Laboratory, California Institute of Technology, Pasadena; and Marc Jaeger, Microwaves and Radar Institute, German Aerospace Center, Oberpfaffenhofen, Germany

Citation: Buczkowski, D. L., J. L. Whitten, S. Hensley, D. C. Nunes, and M. Jaeger (2026), Discovering Venus on Iceland, Eos, 107, https://doi.org/10.1029/2026EO260032. Published on 23 January 2026. 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.

Planet Labs image of the 13 January 2026 landslide at Burutsi village, in the Democratic Republic of Congo

EOS - Fri, 01/23/2026 - 11:23

A new satellite image confirms that over 15 houses were buried in a landslide that took the lives of almost 30 people.

Back on 15 January, I wrote about the 3 January 2026 landslide at Burutsi village, in the Democratic Republic of Congo. This landslide killed 28 people and injured 20 more.

This is a remote area, so getting detailed information about the location is very challenging. It is also very cloudy, limiting satellite imagery. However, on 21 January 2028, Planet Labs captured an image of the area using one of their Super Dove instruments. This is the image, draped onto the Google Earth DEM:-

Planet Labs image of the 14 January 2026 landslide at Burutsi in the DRC. Image copyright Planet Labs, captured on 21 January 2026, used with permission.

This is a Google Earth image from 2024 of the same area:-

Google Earth image of the site of the 14 January 2026 landslide at Burutsi in the DRC. Image captured on 8 January 2024.

And here is a slider to compare the two:-

This is a Google Earth image of the affected are in more detail:-

Google Earth image of the site of the 14 January 2026 landslide at Burutsi in the DRC. Image captured on 8 January 2024.

There is nothing obvious in the imagery to suggest that this slope was dangerous, noting of course the masking effect of the dense forest. As reported in the media, the landslide buried about 17 houses and closed the road.

The imagery clarifies the location of the landslide – it’s at [-1.30050, 28.66080].

Acknowledgement

Thanks as ever to the kind people at Planet Labs for providing access to their amazing imagery.

Return to The Landslide Blog homepage 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.

High-resolution P receiver function imaging of seismic crustal structure in the southeastern Korean Peninsula: Implications for deformation associated with Miocene backarc extension

Geophysical Journal International - Fri, 01/23/2026 - 00:00
SummaryLocated at the easternmost passive margin of the Eurasian Plate, the southeastern Korean Peninsula shows geological signatures consistent with Miocene backarc opening associated with the Pacific Plate subduction. The region comprises two contrasting crustal blocks—the Early Cretaceous Gyeongsang Basin and Miocene Yeonil Basin (YB)—and hosts multiple fault systems that record both extensional and contractional deformation, providing an ideal setting to investigate crustal evolution along a passive margin. Motivated by this complex setting, we performed high-resolution P-receiver function imaging using a dense broadband seismic network. Our results reveal two Moho offsets: a western offset from 33 to 28 km, and an eastern offset from 28 to 26 km, coinciding with major fault zones and likely reflecting localized crustal thinning and subsequent reactivation. Crustal anisotropy, inferred from changes in fast-axis orientations, varies spatially, with Miocene fossil anisotropy in the GB and both fossil and present-day stress-induced anisotropy in the YB. Variations in P-to-S velocity ratio (VP/VS) reflect compositional heterogeneity and fault-related fracturing. Large earthquakes (M ≥ 4) occurred in low-VP/VS zones associated with relatively rigid and possibly locked crustal segments, while high-VP/VS regions coincide with zones of crustal weakening and microseismicity. Our findings suggest that extension-related deformation and inherited structural heterogeneity are preserved within the crust of this fossil backarc system, linking past tectonic processes to present-day structure and seismicity.

Geophysical Quantification of Water Phases: Influence of Surface Conductivity and Temperature Modelling

Geophysical Journal International - Fri, 01/23/2026 - 00:00
SummaryThe quantification of frozen and unfrozen water content in porous media is essential for understanding hydrological, thermal, and mechanical processes in cold regions. Petrophysical joint inversion (PJI) frameworks that integrate seismic and electrical data offer promising tools for resolving water and ice distributions but are often limited by simplified petrophysical models. Here, we extend a PJI framework by incorporating a temperature-dependent relationship that accounts for both electrolytic and surface conduction. Using synthetic data, we show that this formulation improves modelling of frequency-dependent resistivity and enhances estimates of water content and interfacial conductivity quantified by cation exchange capacity. Our results highlight the critical role of temperature in controlling subsurface electrical properties and demonstrate that neglecting these effects can lead to substantial errors in the ice and water estimates. The extended PJI framework provides a physically consistent basis for geophysical imaging of water phase dynamics in partially frozen systems, with broad applicability to cold-region hydrology and seasonally or perennially frozen environments.

Numerical wavefield simulations with instantaneous time mirror in a 3D elastic medium

Geophysical Journal International - Fri, 01/23/2026 - 00:00
SummaryWe simulate an instantaneous time mirror (ITM), i.e., a rapid short duration change in elastic material properties, using numerical experiments in time-varying isotropic elastic media. Our implementation in the seismic wave propagation software SeisSol is based on high-order discontinuous Galerkin discretization with ADER time stepping. We develop an eigenvector-based analytical solution for time interfaces for general linear hyperbolic wave systems and apply it to analyze the energy balance at time boundaries and ITMs. The energy increases for all intermittent medium changes for all impedance scaling factors. Our numerical implementation is validated against these analytical solutions and achieves high-order convergence. Its accuracy is further corroborated by estimates of reflection and transmission coefficients and observed frequency shifts across time boundaries, and by acoustic wave speed estimates obtained from focal spots associated with ITM-generated converging P waves that are consistent with theoretical predictions and ground truth values, respectively. We use the ITM implementation to simulate the partitioning of seismic body waves excited by a point source in a spatially homogeneous elastic full space. The response to an intermittent short change in the elastic parameters yields a diverging and converging P and S wavefield. A systematic scaling of the elastic parameters is then used to steer independent ITM reflections of either P or S waves. Numerical ITM solutions as developed here can be used to synthesize converging wavefields in seismic imaging applications, and more generally to analyze the behavior and manipulation of seismic wavefields in space-time varying media.

New analysis disputes historic earthquake, tsunami and death toll on Greek island

Phys.org: Earth science - Thu, 01/22/2026 - 22:30
For decades, researchers thought that an October 1843 earthquake on the small Greek island of Chalke caused a powerful tsunami and led to the deaths of as many as 600 people. But a new analysis of primary accounts of the event by Ioanna Triantafyllou at Hellenic Mediterranean University suggests the truth was much less dramatic and destructive.

Amplifying feedbacks could drive Greenland ice sheet to near-complete disappearance

Phys.org: Earth science - Thu, 01/22/2026 - 21:10
Greenland, which has been prominently in the news in recent days, hosts a vast ice sheet. If it melts, it will become one of the largest contributors to global sea-level rise. Under a high-emissions scenario, the Greenland Ice Sheet is expected to largely disappear over time, with far-reaching consequences. This is the conclusion of a new study by Chloë Paice and colleagues, published in The Cryosphere. The Greenland Ice Sheet contains enough ice to raise global sea levels by approximately 7.4 meters and has been losing mass at an accelerating rate since the 1990s. Roughly half of this loss is due to surface melt, while the other half results from ice calving where the ice sheet meets the ocean.

Arctic cloud and ice formation affected by Russian river runoff as region studied for first time

Phys.org: Earth science - Thu, 01/22/2026 - 19:54
Organic matter carried in rivers to the Russian part of the Arctic Ocean may be creating more clouds and keeping the region cooler, a new study has found.

Coastal Coralline Algae Naturally Survive Persistent, Extreme Low pH

EOS - Thu, 01/22/2026 - 19:11
Editors’ Highlights are summaries of recent papers by AGU’s journal editors. Source: Journal of Geophysical Research: Biogeosciences

Ocean acidification is known to have major impacts on marine habitats under projected climate change. How vulnerable marine organisms in these habitats are to acidification largely depends on the variability of environmental conditions, such as pH, they experience naturally.

Burdett et al. [2025] provide precious time-series evidence that, unlike the open ocean, coastal ecosystems experience high natural environmental variability. For about two thirds of the year, the monitored coastal coralline algae reef was exposed to pH levels as low as those expected for the year 2100 under IPCC projections. The pH levels varied considerably throughout the day and between seasons, associated with biological activity, tidal cycling, and water temperature. Long‐term exposure to such low pH conditions and high variability may help coralline algal communities to adapt to future acidification, providing a level of optimism for the survival of this globally distributed biodiverse habitat.

Citation: Burdett, H. L., Mao, J., Foster, G. L., & Kamenos, N. A. (2025). Persistence of extreme low pH in a coralline algae habitat. Journal of Geophysical Research: Biogeosciences, 130, e2025JG009062. https://doi.org/10.1029/2025JG009062

—Xiaojuan Feng, Associate Editor, JGR: Biogeosciences

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.

Demonstration of Integrated Lunar Water Extraction and Capturing System: Overview of Results from the LUWEX Project

Publication date: Available online 19 January 2026

Source: Advances in Space Research

Author(s): Luca Kiewiet, Svenja Fälker, Mateo Rejón López, Paul Zabel

Synergizing GNSS, MODIS, and ERA5 for High-Resolution PWV Retrieval: A Two-Stage Machine Learning Approach Over Hong Kong

Publication date: Available online 19 January 2026

Source: Advances in Space Research

Author(s): Guanmei Chen, Aigong Xu, Zongqiu Xu, Zhiguo Deng, Longjiang Tang, Congying Shao, Nannan Yang, Xiang Gao, Meiqi Zhang

Corrigendum to “Deep space GNSS signal tracking based on multi-decision extrapolation”. [Adv. Space Res. 77(2) (2026) 2094–2106]

Publication date: Available online 17 January 2026

Source: Advances in Space Research

Author(s): Taibin Liu, Xiaohui Ba, Dongwei Hu, Baigen Cai, Jian Wang, Jiang Liu, Wei Jiang, Debiao Lu, Kun Liang, Linguo Chai

Fragmentation-initiation threshold and debris cloud characteristics of Whipple Shield under hypervelocity impact

Publication date: Available online 17 January 2026

Source: Advances in Space Research

Author(s): Kai-qiang Bai, Lv-tan Chen, Qi-guang He, Xiao-wei Chen

From site to region: Performance evaluation of remote sensing-derived GPP products across China

Publication date: Available online 16 January 2026

Source: Advances in Space Research

Author(s): Yongwei Cao, Zhanghua Xu, Yuanyao Yang, Chaofei Zhang, Na Qin

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