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Warming Gulf of Maine Buffers Ocean Acidification—For Now

EOS - Thu, 07/03/2025 - 13:03

In the face of rising atmospheric carbon dioxide, the Gulf of Maine is thought to be particularly vulnerable to ocean acidification. Its vulnerability has to do with temperature: The waters of the gulf are cold, and cold water dissolves carbon dioxide more easily than warmer water does. Increased carbon dioxide decreases the pH of the ocean (making it more acidic), a concern for the health of the region’s ecosystems as well as its lucrative shellfish industry.

But determining seawater chemistry is complicated. It requires advanced equipment and the assessment of complex physical, chemical, and biological processes. Until now, no long-term data existed to put individual measurements into context, so scientists did not know how acidity in the region’s waters was trending.

Using ocean chemistry recorded in algae, researchers have now constructed a nearly 100-year history of acidity (pH) in the region. The analysis, published in Scientific Reports, shows that ocean acidification, seen around the world, has been delayed in the gulf.

The Gulf of Maine is fed by three offshore water masses: icy, acidic northern waters from the Scotian Shelf and Labrador Current and warm, alkaline Gulf Stream waters. It’s also bordered by thousands of kilometers of shoreline to the west, and its estuaries and inshore waters receive significant riverine runoff.

The group expected to see pH fluctuate in the gulf, given the different factors affecting ocean chemistry and human-driven increases in atmospheric carbon dioxide, said Joseph Stewart, a geochemist from the University of Bristol in the United Kingdom and study coauthor. Data from 2011 to now, collected in Maine’s Casco Bay by a local nonprofit, show an increase in acidity in that coastal area. But that time frame is too short to determine long-term trends, according to the study authors.

Ocean Chemistry Recorded in Algae

Crustose coralline algae live for about 40 years in coastal areas of the Gulf of Maine, the southern limit of their range. These cold-loving algae encrust rocks and grow in seasonal increments, leaving growth bands akin to tree rings in their calcified skeletons. They are highly sensitive to changes in pH and serve as a record for past seawater carbon dioxide concentrations.

Using samples of the algae collected from several locations, the team reconstructed a timeline that spanned from 1920 to 2018.

“We’ve been measuring temperature for a long time, but we have not been measuring seawater pH for very long. It’s a very complicated, hard measurement.”

“We’ve been measuring temperature for a long time, but we have not been measuring seawater pH for very long. It’s a very complicated, hard measurement,” said Branwen Williams, a climate scientist at Claremont McKenna College in California and coauthor of the study. “So records like this are really valuable to get a sense of the variability that exists, particularly in these areas with people,” she said.

To the researchers’ surprise, the algae recorded a historic trend of relatively low pH in surface seawater, about 7.9, with a slight increase of 0.2 pH unit over the past 40 years. (On average, ocean water currently has a pH of around 8.1.) That move toward slightly more basic conditions was counterintuitive.

“We were somewhat surprised by that result, but then it made a lot of sense when we put it in the context of how temperature was changing and how nutrients were changing, and the timing of that change that had been previously documented in other papers,” Stewart said.

Starting around 2010, waters in the Gulf of Maine warmed dramatically. The change was driven by the decreasing influence of frigid northern water masses and the rise of Gulf Stream waters, which are not only warm but also alkaline. These waters seem to act as a buffer and delay the onset of ocean acidification.

Warming Waters

Ocean circulation–driven buffering effects will, at some point, reach their limits, researchers said. The ocean’s uptake of rising amounts of atmospheric carbon will persist, however, and leave the region’s ecosystems and economy vulnerable to the effects of acidification.

Ocean acidification presents one more challenge to the gulf’s coastal economy and its commercial fisheries, which stretch from Cape Cod to Nova Scotia. Ecosystems in the Gulf of Maine already face threats from disease, warming waters, habitat degradation, and invasive species. The added threat of acidification may push individual species past their ability to persist and redefine the biotic and abiotic factors contributing to those species’ ecosystems—a tipping point.

“It’s not just pH on its own that’s going to cause the ecosystem tipping point to occur, but a combination of pH and temperature, and both of those things are changing. The more data we have to understand the systems, all those different factors, the better,” said study coauthor Michèle LaVigne, an ocean scientist at Bowdoin College in Maine.

This and other studies provide insight into acidification trends, but the challenge of understanding and addressing competing factors influencing ocean pH feels intractable, said Damian Brady, an oceanographer at the University of Maine who was not involved in the study. “The dynamics are such that we have these countervailing forces all the time. We have these rises in total alkalinity from offshore source water, increases in temperature, while also, we as a species increase the carbon dioxide that goes in there,” he said. “It’s really complex.”

—Kimberly Hatfield, Science Writer

Citation: Hatfield, K. (2025), Warming Gulf of Maine buffers ocean acidification—for now, Eos, 106, https://doi.org/10.1029/2025EO250239. Published on 3 July 2025. Text © 2025. The authors. CC BY-NC-ND 3.0
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Geological mystery: Study unearths how copper deposits formed

Phys.org: Earth science - Thu, 07/03/2025 - 12:42
An international study has revealed how continental collisions may have supercharged the Earth's richest deposits of copper, a metal critical for clean energy technologies and global infrastructure.

The Mid-20th Century Winter Cooling in the Eastern U.S. Explained

EOS - Thu, 07/03/2025 - 12:00
Editors’ Highlights are summaries of recent papers by AGU’s journal editors. Source: AGU Advances

Waves in the polar jet stream over eastern North America are often responsible for cold air outbreaks and extreme winter storms. A 1990-2010 increase in jet stream waviness has, controversially, been linked to unusually rapid warming in the Arctic and has been thought to foreshadow a rise in extreme weather as climate change progresses. However, the United States “warming hole” —an enigmatic 1958-1988 cooling trend centered over the eastern U.S.— has also been linked to an increase in jet stream waviness several decades before the 1990s shift in waviness. This timing difference raises questions about whether the jet stream behavior since the 1990s is historically unusual.

Chalif et al. [2025] leverage information from long-term climate reconstructions and find that the jet stream was wavier than it is today during many periods of the 20th century and was the dominant factor driving the winter warming hole. The results highlight the strong relationship between jet stream waviness and eastern U.S. climate, and question whether accelerated Arctic warming is responsible for recent jet stream waviness.

Citation: Chalif, J. I., Osterberg, E. C., & Partridge, T. F. (2025). A wavier polar jet stream contributed to the mid-20th century winter warming hole in the United States. AGU Advances, 6, e2024AV001399. https://doi.org/10.1029/2024AV001399

—Alberto Montanari, Editor-in-Chief, AGU Advances

Text © 2025. The authors. CC BY-NC-ND 3.0
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Fatal landslides in April 2025

EOS - Thu, 07/03/2025 - 05:45

In April 2025, I recorded 41 fatal landslides that cost 107 lives.

I’m somewhat behind with posting updates on global fatal landslides due to other workload pressures – please accept my apologies. Please be assured that I’m still collecting the data and that I will make a summary available as soon as I can.

Somewhat belatedly, here is a summary for April 2025 (the same report for the previous month is available here). As always, a reminder that this is a dataset on landslides that cause loss of life, following the methodology of Froude and Petley (2018). At this point, the monthly data is provisional.

The headlines are as follows. In April 2025, I recorded 41 fatal landslides that cost 107 lives. The April Average for 2004 to 2016 is 28 fatal landslides, so this is once again substantially above the long term mean. In the exceptional year of 2024, I recorded 40 landslides, so as at 30 April 2025, the cumulative total is proving to be comparable to the prior year. This is a little bit surprising.

Loyal readers will know that my preferred way of displaying these data is using pentads – 73 five day blocks over the course of the year. The end of April takes us to pentad 24:-

The number of fatal landslides to the end of April 2025, displayed in pentads. For comparison, the long term mean (2004 to 2016) and the exceptional year of 2024 are also shown.

As the graph shows, the cumulative total number of fatal landslides to the end of April 2025 has tracked in a very similar way to April 2024. The trend is very substantially higher than for the long term average. But note also that 2024 saw a very early transition to the much higher event rate through the Northern Hemisphere summer (in 2024 this occurred in the latter part of April, the norm is at least a month later). At the end of April 2025, it was too early to tell whether this would be replicated.

I find this continued high rate of global fatal landslides through April 2025 quite surprising, but global temperatures have remained high. As the US Government dismantles its climate infrastructure (an act of pure vandalism), we are increasingly reliant on data being provided elsewhere. Fortunately, the European Copernicus Clime Change Service system remains wonderful and fully available. This shows that:

“April 2025 was the second-warmest April globally, with an average ERA5 surface air temperature of 14.96°C, 0.60°C above the 1991-2020 average for April. April 2025 was 0.07°C cooler than the record April of 2024, and 0.07°C warmer than the third warmest of 2016.”

Thus, the high event rate for fatal landslides may be associated with the continued high global temperatures, and thus high peak rainfall intensities, through the early part of 2025.

Reference

Froude M.J. and Petley D.N. 2018. Global fatal landslide occurrence from 2004 to 2016Natural Hazards and Earth System Science 18, 2161-2181. https://doi.org/10.5194/nhess-18-2161-2018

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Old aerial photos give scientists a new tool to predict sea level rise

Phys.org: Earth science - Wed, 07/02/2025 - 16:51
On 28 November 1966, an American airplane flies over the Antarctic Peninsula just south of the southernmost tip of Chile. On board is a photographer, probably from the U.S. Navy, whose job is to map the Antarctic landscape. But it turns out that the photographer is also documenting a very special situation that is in progress. He shoots an aerial photo of the Wordie Ice Shelf, which, 30 years later, has almost vanished after a total collapse.

Ocean eruption leaves deep-sea creatures gasping as ash clouds blanket the seafloor

Phys.org: Earth science - Wed, 07/02/2025 - 16:49
Deep below the surface of the ocean, bacteria and critters that feed off nutrients spouting from hydrothermal vents met with a sudden wave of volcanic sediment, leaving them suffocated.

Coherent, not chaotic—surprising order found in Brahmaputra-Jamuna River channel migration

Phys.org: Earth science - Wed, 07/02/2025 - 16:22
Compared to single-channel meandering rivers, multichannel braided rivers are often found in environments with sparse vegetation and coarse, shifting bars of sediment. Past research has called the way in which the paths of braided rivers shift over time "chaotic" because their migration depends on many factors, including river shape and changing water levels.

Proposed NOAA Budget Calls for $0 for Climate Research

EOS - Wed, 07/02/2025 - 16:21
body {background-color: #D2D1D5;} Research & Developments is a blog for brief updates that provide context for the flurry of news regarding law and policy changes that impact science and scientists today.

In the latest move in a months-long attack on climate science funding, the Trump administration released a budget document on 30 June that calls for zero funding for climate research and the elimination of a slew of NOAA services, including the agency’s climate laboratories, regional climate data efforts, tornado and severe storm research, and partnerships with other institutions.

The budget, proposed for fiscal year 2026, also calls for a reduction in NOAA’s full-time staff by more than 2,000 people. 

The Office of Oceanic and Atmospheric Research (OAR) would be eliminated under the proposed budget. OAR coordinates and performs NOAA’s climate and weather research.

“With this termination, NOAA will no longer support climate research grants,” the proposal states.

The proposed NOAA budget for 2026 contains the literal line:Total, Climate Research: $0www.commerce.gov/sites/defaul…

Robert Rohde (@rarohde.bsky.social) 2025-06-30T23:25:38.113Z

“The idea [that] these labs would be completely wiped out is surreal and dangerous,” Dan Powers, executive director of CO-LABS, a science advocacy group, told Colorado Public Radio

The proposal would also eliminate funding for all of OAR’s climate and weather cooperative institutes—partnerships between the agency and other research institutions, including universities. One such partnership is the Mauna Loa Observatory in Hawaiʻi, an atmospheric research station best known for its measurements of atmospheric carbon dioxide.

Another is the Cooperative Institute for Research in Environmental Sciences (CIRES) at the University of Colorado Boulder, which houses the National Snow and Ice Data Center. The center tracks critical snow and ice observations used to monitor the impacts of climate change. The center had already halted maintenance for some of its data products after losing support from NOAA in May.

It is difficult to describe just how disastrous it would be if just-released NOAA budget proposal (or even large portions) were to be enacted: It would involve a wholesale dismantling (decimation, really) of entities relevant to weather, climate, & ocean research & prediction.

Daniel Swain (@weatherwest.bsky.social) 2025-07-01T17:18:29.000Z

Additional programs slated to lose funding include the National Sea Grant College Program, the National Oceanographic Partnership Program, Species Recovery Grants, Climate Competitive Research, and Regional Climate Data and Information. 

The proposal also calls for the elimination of some environmental restoration and research programs, including the Pacific Coastal Salmon Recovery Fund, which had been used to restore 3,624 acres (1,467 hectares) of salmon habitat and enable salmon to travel hundreds of miles to their spawning streams in 2023, according to Oregon Public Radio

 
Related

Whether the proposed budget becomes a reality will be decided by Congress.

The future of much of NOAA’s climate and weather research and monitoring has been uncertain for months as the agency has decommissioned datasets, put some of its weather alert services on hold temporarily, and faced layoffs

In June, the agency announced that data from three satellites used in monitoring hurricanes would not be available to researchers after 30 June. Then, on the day of the deadline, they reversed course, extending the data availability through 31 July. Scientists expressed concern that extending the data availability still would not mean the data would be available during the peak hurricane months of August, September, and October.

—Grace van Deelen (@gvd.bsky.social), Staff Writer

These updates are made possible through information from the scientific community. Do you have a story about how changes in law or policy are affecting scientists or research? Send us a tip at eos@agu.org. Text © 2025. AGU. CC BY-NC-ND 3.0
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Young forests could help to capture carbon in climate change fight

Phys.org: Earth science - Wed, 07/02/2025 - 15:40
Young forests regrowing from land where mature woodlands have been cut down have a key role to play in removing billions of tons of atmospheric carbon dioxide (CO2) and combating climate change, a new study reveals.

Smarter flight decisions can mitigate climate impact without undue sacrifice

Phys.org: Earth science - Wed, 07/02/2025 - 15:00
A new study led by a University of California, Irvine scientist reveals that airlines can make smarter tradeoff decisions to cut aviation's warming impact. The research, published in the journal Nature, offers hopeful news for the future of air travel and climate action.

Global climate security atlas developed as tool to help prepare for the impacts of climate change

Phys.org: Earth science - Wed, 07/02/2025 - 14:32
Irina Marinov, associate professor at the Department of Earth and Environmental Science, leads a research community focused on understanding global climate impacts, risks, and vulnerabilities to enable local action.

Deep Root Respiration Helps Break Down Rocks

EOS - Wed, 07/02/2025 - 13:06
Editors’ Highlights are summaries of recent papers by AGU’s journal editors. Source: AGU Advances

Roots play a role in the weathering and breakdown of rocks, but to what extent is largely unknown. Osorio-Leon et al. [2025] use an ingenious field setup to measure gasses and water constituents around deep roots in sandstone bedrock soils. They find that they can only reproduce their measurements with a reactive transport model when they include the CO2 production that is expected from root respiration or microbial respiration around roots.

The authors further show that the export of weathered solutes from the bedrock by water flow is enhanced by more than 40% through this deep root action. These results reveal that deeply rooted trees are important contributors to hardrock breakdown and ultimately stream chemistry. 

Citation: Osorio-Leon, I. D., Rempe, D. M., Golla, J. K., Bouchez, J., & Druhan, J. L. (2025). Deep roots supply reactivity and enhance silicate weathering in the bedrock vadose zone. AGU Advances, 6, e2025AV001692. https://doi.org/10.1029/2025AV001692

—Marc F. P. Bierkens, Editor, AGU Advances

Text © 2025. The authors. CC BY-NC-ND 3.0
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Coherent, Not Chaotic, Migration in the Brahmaputra-Jamuna River

EOS - Wed, 07/02/2025 - 12:33
Source: Journal of Geophysical Research: Earth Surface

Compared to single-channel meandering rivers, multichannel braided rivers are often found in environments with sparse vegetation and coarse, shifting bars of sediment. Past research has called the way in which the paths of braided rivers shift over time “chaotic” because their migration depends on many factors, including river shape and changing water levels.

However, because the migration of individual channel threads can affect the likelihood of hazards like flooding or erosion, understanding this migration is critical to protect the residents, structures, and ecosystems surrounding these complicated waterways.

Li and Limaye examined a 180-kilometer span of the Brahmaputra-Jamuna River, a river in Bangladesh whose channels have been well resolved through satellite imagery.

Scientists—and many of the 600,000 people living in the islands between the river channels—already know that the river’s water levels are high during the summer months’ monsoon season and low but consistent from January to March. But this research team used a statistical method called dynamic time warping to map long-term changes in the river channels’ sizes, shapes, and routes between 2001 and 2021. This technique allowed them to calculate how much and how quickly the centerlines of channel threads shifted. They then applied an existing model developed for meandering rivers to see whether it could also predict the movement of braided channel threads.

They found that the Brahmaputra-Jamuna River’s movements were more predictable than previously realized. About 43% of its channels moved gradually, rather than abruptly, during the study period. On average, these channel threads migrated more quickly than most meandering rivers, at a rate of about 30% of their width per year. In some cases, the rate of this migration was closely related to the curvature of the channel thread, and across the board, it was weakly related to channel thread width.

These findings have important implications for future research on braided river channels, the authors say. Knowing that at least some channel threads migrate coherently might inform erosion and flooding mitigation efforts for braided river regions, especially those in densely populated areas. (Journal of Geophysical Research: Earth Surface, https://doi.org/10.1029/2024JF008196, 2025)

—Rebecca Owen (@beccapox.bsky.social), Science Writer

Citation: Owen, R. (2025), Coherent, not chaotic, migration in the Brahmaputra-Jamuna River, Eos, 106, https://doi.org/10.1029/2025EO250237. Published on 2 July 2025. Text © 2025. 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.

Ignoring peatlands could derail climate goals

Phys.org: Earth science - Wed, 07/02/2025 - 12:33
Northern peatlands could seriously complicate efforts to cool the planet, especially after a temporary overshoot of the 1.5°C global warming limit, according to new IIASA-led research.

Un antiguo evento de calentamiento podría haber durado más de lo que pensábamos

EOS - Wed, 07/02/2025 - 12:22

This is an authorized translation of an Eos article. Esta es una traducción al español autorizada de un artículo de Eos.

Source: Geophysical Research Letters

Hace 56 millones de años, durante el Máximo Térmico del Paleoceno-Eoceno (PETM, por sus siglas en inglés), las temperaturas globales aumentaron más de 5°C durante 100,000 años o más. En ese tiempo, se liberaron entre 3,000 y 20,000 petagramos de carbono a la atmósfera, lo que provocó una grave alteración de los ecosistemas y de la vida marina a nivel global, y dio lugar a un prolongado estado de efecto invernadero.

Se espera que el calentamiento global antropogénico actual también altere el ciclo del carbono terrestre durante miles de años. Entre 1850 y 2019, se liberaron aproximadamente 2,390 petagramos de dióxido de carbono (CO₂) a la atmósfera y con el uso continuo de combustibles fósiles, es posible que en los próximos siglos se liberen otros 5,000 petagramos. Sin embargo, las estimaciones sobre la duración de esta alteración varían considerablemente, desde unos 3,000 hasta 165,000 años.

Comprender cuánto tiempo se vio afectado el ciclo del carbono durante el PETM podría ofrecer pistas clave sobre la gravedad y duración de las alteraciones derivadas del cambio climático antropogénico. Investigaciones previas, basadas en registros de isótopos de carbono, estimaban que el PETM duró entre 120,000 y 230,000 años. Ahora, Piedrahita et al. sugieren que este evento de calentamiento se prolongó por casi 269,000 años.

La evidencia del PETM se encuentra en el registro geológico como una marcada disminución en las proporciones de isótopos estables de carbono. Este descenso se divide en tres fases, cada una representando distintas etapas de alteración y recuperación del ciclo del carbono. Las estimaciones previas sobre el final de esta disminución han variado ampliamente debido al ruido presente en los datos sobre los que se basan.

En esta nueva investigación, los científicos analizaron seis registros sedimentarios con edades bien establecidas en trabajos previos: un registro terrestre de la cuenca Bighorn en Wyoming y cinco registros sedimentarios marinos de diversas localidades. En lugar de basarse únicamente en datos sin procesar, como en trabajos anteriores, aplicaron un enfoque probabilístico que considera las incertidumbres analíticas y cronológicas, lo que permitió restringir con mayor precisión el intervalo temporal del PETM.

En particular, el estudio sugiere que el periodo de recuperación tardó mucho más de lo que indicaban las estimaciones anteriores—más de 145,000 años. Según los autores, este tiempo extendido de recuperación durante el PETM indica que los escenarios futuros de cambio climático podrían afectar el ciclo del carbono por más tiempo del que predicen la mayoría de los modelos actuales. (Geophysical Research Letters, https://doi.org/10.1029/2024GL113117, 2025)

—Rebecca Owen (@beccapox.bsky.social), Escritora de ciencia

This translation by Saúl A. Villafañe-Barajas (@villafanne) was made possible by a partnership with Planeteando and Geolatinas. Esta traducción fue posible gracias a una asociación con Planeteando y Geolatinas.

Text © 2025. AGU. CC BY-NC-ND 3.0
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New fossils from Earth's most famous extinction show climate tipping point was crossed

Phys.org: Earth science - Wed, 07/02/2025 - 09:00
The collapse of tropical forests during Earth's most catastrophic extinction event was the primary cause of the prolonged global warming which followed, according to new research.

What we learned from record-breaking 2021 heat wave and what we can expect in the future

Phys.org: Earth science - Wed, 07/02/2025 - 08:53
The deadly, record-breaking heat wave that hit the Pacific Northwest in June 2021 continues to be the subject of intense interest among scientists, policymakers and the public.

The Soweto geologist uncovering the Earth's secrets

Phys.org: Earth science - Wed, 07/02/2025 - 08:34
In the 1997 action film "Dante's Peak," Pierce Brosnan plays the role of a volcanologist sent to investigate seismic activity beneath a long-dormant volcano.

The 22 November 1815 Gejer Bali disaster

EOS - Wed, 07/02/2025 - 06:12

A new paper (Faral et al. 2025) provides details of a seismically-triggered landslide cascade and tsunami that killed up to 12,000 people.

On 22 November 1815, a very significant landslide disaster occurred in Bali, in what is now Indonesia, killing between 10,000 and 12,000 people. A very interesting new paper (Faral et al. 2025) in the journal Geomorphology has sought to investigate and understand this catastrophe.

The event, which occurred on Buyan-Bratan caldera, was triggered by the Mw=7.3 1815 Bali earthquake offshore. This triggered a translational landslide near the peak of the caldera. To provide a context, this is a Google Earth image of the site:-

Google Earth image of the site of the 22 November 1815 Gejer Bali disaster.

This image shows the steep caldera at the top, with the steep slopes down to the sea.

Faral et al. (2025) have identified the location of the initial failure. This is surprisingly clear on the Google Earth imagery:-

Google Earth image of the source zone of the 22 November 1815 Gejer Bali disaster.

The failure was a translational landslide – the source zone is so clear because it was left steep slopes in the rear scar and the lateral scarps, which now have dense vegetation. These lateral scarps are 30 to 35 m tall, delineating a landslide with a source area of 2.38 km2 and a volume of about 64 million cubic metres. Descriptions of the event highlight that the area had been subject to “intense and prolonged rainfall”, which may have contributed to the instability.

Faral et al. (2025) have undertaken detailed work to understand the characteristics of the landslide as it travelled the c.17 km to the coast. I think the initial path is quite easy to spot on the imagery:-

Google Earth image of the source zone and possible initial track (my own interpretation) of the 22 November 1815 Gejer Bali disaster.

Lower down the path becomes much less clear, but Faral et al. (2025) have used a range of mapping and stratigraphic techniques to try to understand it. In an earlier paper (Faral et al. 2024), the team has also mapped the c.15 villages that historical records indicate were destroyed by the landslide. They conclude that the initial failure transitioned into a debris avalanche and then a debris flow, eroding saturated sediment from the lower slopes and spreading laterally. This huge landslide moved enormous blocks of rock – one of which is 9 metres long for example – that are now scattered on the lower slopes.

Eventually the landslide reached the sea, and there are reports of a local tsunami. Faral et al. (2025) psotualte that this was most likely generated by the landslide rather than by the original earthquake. They note that there are no known deposits from the tsunami, which supports the notion of a smaller, localised event.

The 22 November 1815 Gejer Bali disaster was a very significant event that warrants more attention – I thank the authors of the two papers from highlighting and investigating this most fascinating disaster. I’m left pondering how we could anticipate a similar event. The nature of this type of initial failure seems hard to determine in advance, given its seismic origin, and the behaviour of the flow is also very difficult to forecast. Thus, such events represent a massive challenge in managing landslide risk.

References

Faral, A., Lavigne, F., Sastrawan, W.J. et al. 2024. Deadliest natural disaster in Balinese history in November 1815 revealed by Western and Indonesian written sourcesNatural Hazards 120, 12011–12041 (2024). https://doi.org/10.1007/s11069-024-06671-5.

Faral, A. et al. 2025. Field evidence of the greatest disaster in Balinese history: The 1815 Geger Bali multi-hazard event in Buleleng. Geomorphology, https://doi.org/10.1016/j.geomorph.2025.109903.

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Bayesian Seismic Inversion with Implicit Neural Representations

Geophysical Journal International - Wed, 07/02/2025 - 00:00
AbstractSeismic inversion translates seismic data into subsurface elastic property models, enabling geophysicists to better understand underground rocks and fluids. Due to the inherently ill-posed nature of this inverse problem, accurately capturing the uncertainty associated with the solution is essential for reliable interpretations. Traditional Bayesian inversion methods, such as Markov Chain Monte Carlo (MCMC) and Laplace approximations, have been employed for this purpose but face significant limitations in terms of scalability and computational efficiency for large-scale problems. Combined with deep learning, Variational Inference (VI) has emerged as a promising alternative, striking a balance between computational efficiency and flexibility (i.e. the ability to approximate complex posterior distributions). However, selecting an appropriate proposal distribution remains a key challenge, as it directly influences the quality of the estimated posterior distribution. In this study, we extend IntraSeismic, an implicit neural representation (INR)-based framework for seismic inversion applications, to Bayesian inversion using VI with different parameterizations of the proposal distribution. We introduce two methods: B-IntraSeismic (BIS), which uses a mean-field Gaussian proposal, and B-IntraSeismic with Conditional Normalizing Flows (BIS-Flow), which utilizes a mean-field unparameterized proposal distribution to better capture deviations from Gaussianity in the posterior distribution. These methods are evaluated on a synthetic dataset (Marmousi) and two field data (Volve and Sleipner). Our results indicate that both BIS and BIS-Flow can accurately capture structural details and produce high-resolution mean models and standard deviation maps. BIS-Flow is also shown to be able to model complex posterior distributions, offering a more comprehensive characterization of uncertainty while maintaining computational feasibility.

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