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University of Delaware geologist Jessica Warren has contributed to research that brings us one step closer to better understanding how earthquakes operate. Situated along a stretch of the equator in the Pacific Ocean, between Indonesia and Central America, the Gofar transform fault is one of the fastest moving faults on Earth—cruising along the seafloor at about 140 millimeters per year. This is over four times faster than the San Andreas fault is moving in California.

Central Mongolia’s Hangay Mountains have long posed a conundrum. Rising 4 kilometers above sea level, the dome-shaped range plays a key role in shaping the region’s climate. But it couldn’t have formed in the same way as most equally tall mountain ranges.

“These mountains in central Mongolia are very far from any plate boundary, about 5,000 kilometers away from the Pacific margin,” said Pengfei Li, a geologist at the Chinese Academy of Sciences’ Guangzhou Institute of Geochemistry. “It’s very hard to understand why we have such a mountain range so far from the plate boundary.”

Li recently led research finding that geochemical evidence supports a compelling explanation of how these oddball mountains formed. The researchers proposed that at the site of the future mountains, a U-shaped bend in a tectonic plate led to an extra-thick lithosphere. A chunk of that heavy lithosphere eventually broke off and sunk into the mantle. Free of the extra weight, the crust then rebounded upward as the Hangay Mountains.

Bend and Snap

“It’s the first discovery of volcanism for this period.”

Tectonic plates are far from rigid. As they move above, below, and against each other, sections of the plates far from the boundary can develop curves and folds like a scrunched up tablecloth. Curved sections, called oroclines, are common around the world. At about 6,000 kilometers long, the Mongolian orocline is one of the longest, and the Hangay Mountains sit right at the curviest part of the orocline’s U shape.

Li and his colleagues suspected that the Hangays’ location along the orocline is no coincidence. During multiple field expeditions from 2018 through 2026, the researchers collected rock samples from several sites in the Hangay Mountains that showed signs of ancient volcanic activity. Uranium-lead dating of zircons within those samples showed that the area experienced volcanic activity in the early Cretaceous period 124–114 million years ago.

“When I saw the age, I was surprised,” Li said. “120 million years—no one had ever reported volcanoes [in Mongolia] during this period.…It’s the first discovery of volcanism for this period.”

The team also analyzed the samples for major and trace elements to determine the depth at which the rocks formed. Their geochemical analysis revealed that the rocks formed in the lithosphere 80 kilometers below the surface. They published these results in Geology in April.

It’s pretty odd that the rocks originated so deep, Li said, because the modern-day lithosphere is only 70 kilometers thick.

The team proposed that when the continental plate folded and created the Mongolian orocline 200 million years ago, the lithosphere bunched up and became thicker in the curve of the U shape. That thicker section of lithosphere, a root at least 80 kilometers thick, would have been unstable in the long term, Li explained.

The lithospheric root would have been too heavy to remain attached to the crust above for long, and a chunk of it would have eventually snapped off. When it sunk, or foundered, into the deep mantle, it would have melted and generated the volcanic activity recorded in the rocks the team studied. Free from the weight of that lithospheric root, the crust above would have rebounded into the dome-shaped mountain range visible today.

Complicated Yet Compelling

“Their story, though complicated, makes a great deal of sense and in a way provides affirmation of a prediction made some time ago regarding oroclines.”

“The story that [the researchers] have put together to explain the massive Hangay topographic ‘dome’ of central west Mongolia is a compelling one that spans more than the past 200 million years of Earth history,” said Stephen Johnston, a tectonics researcher at the University of Alberta in Canada who was not involved with this research. Past research into the Iberian orocline suggested that oroclines might lead to lithospheric thickening, and this explanation of the Hangay Mountains fits that narrative.

“Their story, though complicated, makes a great deal of sense and in a way provides affirmation of a prediction made some time ago regarding oroclines,” Johnston added.

Johnston said that the new explanation of how the Hangay Mountains formed makes him wonder why it took so long—80 million years—between when the orocline formed and when the lithospheric root sank.

“This seems a long time for a gravitationally unstable mantle root to have remained attached to the overlying crust,” he said. He hopes that future work can help determine whether this process has taken place at other oroclines around the world and has simply been overlooked or whether there is something special about the Mongolian orocline.

Li and his team have turned their attention to how the formation of the Hangay Mountains shaped the region’s ancient climate. Today, the towering mountain range prevents moist air from northern Mongolia from reaching the parched Gobi Desert in the south. They hope to connect how a process deep underground, like lithospheric foundering, affected the paleoclimate and, consequently, the region’s habitability.

“It’s very new to try to understand the Earth’s habitability from a deeper sense,” Li said.

—Kimberly M. S. Cartier (@astrokimcartier.bsky.social), Staff Writer

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Citation: Cartier, K. M. S. (2026), Mongolian mountains rose when the crust bounced back, Eos, 107, https://doi.org/10.1029/2026EO260153. Published on 15 May 2026. Text © 2026. AGU. CC BY-NC-ND 3.0
Except where otherwise noted, images are subject to copyright. Any reuse without express permission from the copyright owner is prohibited.

Since the beginning of the 20th century, global sea level has risen by about 20 centimeters (roughly 8 inches) [Fox-Kemper et al., 2021]. As a result, coastal and island communities around the world are experiencing more frequent high-tide flooding, worsening storm surges, and increasing damage to homes and infrastructure. In the United States, for example, human-caused sea level rise alone increased damages from 2012’s Hurricane Sandy by about $8 billion [Strauss et al., 2021].

The United States has long been a key member of the global climate research community. However, that role is now threatened.

Scientific understanding of the magnitudes and rates of sea level rise, of how they vary around the planet, and of why the ocean is rising is based on a body of rigorous research that, for decades, has tracked past and present sea levels and projected future rise.

The United States has long been a key member of the global climate research community, including in producing the wealth of sea level research that has informed countries, states, and communities of what lies ahead for their shorelines. However, that role is now threatened by the Trump administration’s attacks on the country’s scientific research enterprise broadly and on climate research especially.

Analysis of the evolution of sea level rise projection science [Garner et al., 2018] underscores both the country’s prominent past role in the field and how the ongoing attacks may undermine progress in our understanding of sea level change. It also points to the urgency of acting across multiple fronts to preserve scientific knowledge and prevent further harm to the capacity to measure and project how much and how fast rising seas will affect global coastlines.

Four Decades of Advancing Sea Level Science

By the late 1970s, scientists around the world had begun to recognize the growing threat that climate change posed to the Greenland and Antarctic ice sheets and the danger their melting presented to coastal regions [Mercer, 1978]. The first global mean sea level (GMSL) projections were published in 1982 [Gornitz et al., 1982], and the first planning-oriented sea level scenarios were published just a few years later [e.g., National Research Council, 1987].

Since 1982, 103 studies have produced GMSL projections [Garner et al., 2018]. About one third of the studies (33 in total), including the first five, were published by teams led by scientists at U.S. institutions (Figure 1). Thirty-three studies (some, but not all, of which were also led by U.S.-based scientists) have also benefited from U.S. federal funding, sometimes from multiple agencies (Figure 2), including the National Science Foundation (NSF; 16 studies), NASA (10 studies), NOAA (8 studies), the U.S. Department of Energy (DOE; 6 studies), the U.S. Department of Defense (3 studies), the U.S. Geological Survey (2 studies), and the EPA (2 studies).

Fig. 1. This time series shows the total number of sea level rise projection studies published each year from 1982 to 2025 (gray bars) and the number of studies each year that were led by scientists based at U.S. institutions (purple bars). The text at top left tabulates the total number of studies led by authors in each country or region listed. Fig. 2. The total number of sea level rise projection studies published each year from 1982 to 2025 is shown again here (gray bars), this time beside the number of studies each year that were supported by funding from various U.S. federal science agencies (stacked colored bars). Note that some studies were supported by more than one U.S. federal agency.

U.S. scientists have further played critical roles in developing GMSL projections for Intergovernmental Panel on Climate Change (IPCC) assessments. For example, chapters producing sea level projections for the IPCC Fifth Assessment Report [Church et al., 2013], the IPCC Special Report on the Ocean and Cryosphere in a Changing Climate [Oppenheimer et al., 2019], and the IPCC Sixth Assessment Report (AR6) [Fox-Kemper et al., 2021] were all coled by U.S.-based scientists.

Meanwhile, U.S. funding has been essential to the IPCC, constituting more than 25% of the nearly $207 million invested globally in the organization from 1989 to 2024 [IPCC, 2025]. NASA also played a key role in making IPCC AR6 sea level projections more accessible and usable through the NASA/IPCC Sea Level Projection Tool [Kopp et al., 2023; Fox-Kemper et al., 2021; Garner et al., 2021], which supports local assessments of sea level change around the world and has about 400,000 users annually.

U.S. institutions have been vital in developing, hosting, and maintaining critical sea level datasets.

Beyond direct contributions of U.S. scientists and federal funding to the global scientific community’s sea level projection research, U.S. institutions have been vital in developing, hosting, and maintaining critical sea level datasets. For example, the University of Hawai‘i Sea Level Center is a crucial part of the Global Sea Level Observing System, operating a network of more than 90 tide gauge stations and supporting global real-time oceanographic operations and long-term climate studies. NASA satellite missions, including TOPEX/Poseidon and the Gravity Recovery and Climate Experiment (GRACE and GRACE-FO), have been instrumental in helping to measure changes in GMSL and ice sheets, providing new ways to assess the accuracy of global sea level projections [Törnqvist et al., 2025]. And the Sea Level Research Group at the University of Colorado has consistently processed such datasets, providing critical data access for the broader research community.

Pushed to a Precipice

Since January 2025, climate and sea level science in the United States has come under an unprecedented attack. Scientists have seen congressionally approved research funding revoked or frozen. Agencies like NASA, NOAA, and NSF have been stripped of physical resources, talented scientific experts, and independent advisory and governing boards. The Trump administration, in its fiscal year (FY) 2026 budget, sought debilitating funding cuts for federal scientific agencies, including proposed budget reductions of 24% for NASA, 27% for NOAA, 57% for NSF, and 55% for EPA. Although the scale of these cuts was reduced in the enacted FY2026 budget, the administration is pushing for similarly steep cuts in its FY2027 budget request.

In May 2025, NASA’s Goddard Institute for Space Studies, which produced the first global sea level projections [Gornitz et al., 1982], was evicted from its 49-year home, and efforts to undermine the institute have continued into 2026. Since December, the administration has advanced plans to dismantle the National Center for Atmospheric Research, which developed and maintains a host of climate datasets and resources, including the Community Earth System Model that is widely used to help generate GMSL projections. And in January 2026, the government announced it would withdraw from more than 60 international bodies, including the IPCC, as part of a broader move to pull back from international scientific cooperation.

Efforts to apply climate science in U.S. policy have been hindered not only by political polarization and proposed funding cuts but also by deliberate suppression of data and research.

Efforts to apply climate science in U.S. policy have been hindered not only by political polarization and proposed funding cuts but also by deliberate suppression of data and research. Broadly, the current U.S. administration has removed more than 2,000 datasets from federal platforms, and more specifically, it has systematically scrubbed climate-related content from agency websites. Such erasures disrupt public access to critical information and undermine scientific transparency.

Furthermore, the DOE published a report that without conducting any statistical analysis, denied the scientific evidence for sea level acceleration. It similarly claimed, without any analysis of the numerous sea level projection studies documented here, that sea level is “rising at a lower rate than predicted.” The EPA went further, falsely claiming that “aggregate sea level rise has been minimal.” In fact, the most recent IPCC sea level projections are in good agreement with observations [Törnqvist et al., 2025; Dessler and Kopp, 2025].

The U.S. scientific community now stands at a precipice. Efforts to dismantle federal scientific agencies and diminish research are eroding the United States’ foundational contributions to our knowledge of global change and sea level rise.

The Path to Preserving Critical Science

As we plummet toward a loss of data, expertise, and innovation, we face a future that would not only further damage the United States’ reputation for scientific excellence and transparency but also cripple the global sea level research community at a time when the risks from sea level rise are rapidly increasing [Fox-Kemper et al., 2021].

While some U.S.-based sea level scientists could move to countries more committed to climate science, there are not enough positions in the world nor enough mobility for the vast majority to relocate. Grassroots archiving efforts have helped preserve some critical datasets, but this is a temporary and often insufficient stopgap. An urgent need remains for resilient and transparent scientific infrastructure, so that U.S. taxpayer–funded research findings and datasets are, and remain, publicly accessible.

Historically, federally funded scientific initiatives have enjoyed strong support across the political spectrum in the United States.

Historically, federally funded scientific initiatives have enjoyed strong support across the political spectrum in the United States. However, the unprecedented hostility facing science in the country today has revealed that new institutional safeguards and legal protections to prevent political interference are critically needed.

Expanding collaborations between U.S. universities and private foundations and donors provides one potential route to providing some protection and improving long-term stability for sea level science data and initiatives. Climate Central’s Surging Seas project offers one model to emulate. However, philanthropic efforts are far from sufficient to preserve the U.S. scientific enterprise.

Another avenue to protect federally funded science from political pressure is through bipartisan legislation. Bills such as the Scientific Integrity Act (which aims to ensure that scientific findings are not influenced or altered by political pressure) and the Protect America’s Workforce Act (which aims to restore collective bargaining rights for unionized federal employees) represent such opportunities.

Yet the effectiveness of such legislative efforts hinges on the critical caveat that the people holding authority in government recognize and abide by enacted legislation. Under an executive who does not abide by the rule of law, such legislative efforts, even if they are passed successfully, will offer little actual protection. The path to preserving U.S. climate and sea level science, therefore, cannot be separated from the path to restoring the rule of law within the U.S. government.

Progressing on this front requires the scientific community to advocate for its priorities more vocally and to build coalitions that include both academics and the stakeholders who benefit from scientific climate projections. It also requires making use of tools and levers that many scientists are unaccustomed to, such as the court system. AGU and other institutions have modeled this approach over the past year, joining legal efforts to protect federal workers, for example, and speaking up against the dismantling of valued science agencies.

Restoring the rule of law also requires electoral organizing to reestablish Congress as an independent and coequal branch of government that wields, rather than abdicates, lawful oversight of administration officials and federal agencies.

Scientific understanding of sea level processes and projections of future changes inform local, national, and international decisionmaking and provide a pathway to resilience against the risks of rising coastal waters. Safeguarding the long-standing leadership, integrity, and continuity of U.S. climate and sea level science is both a national and global imperative—one that many scientists are already stepping up to support. Now we need the rest of the scientific community—and its allies in academia, philanthropy, industry, and the public—to join in.

Acknowledgments

The authors thank Amy Appollina and Jessica Slotter for their assistance in curating a database of global sea level rise projections.

References

Church, J. A., et al. (2013), Sea level change, in Climate Change 2013: The Physical Science Basis. Contribution of Working Group I to the Fifth Assessment Report of the Intergovernmental Panel on Climate Change, edited by T. F. Stocker et al., pp. 1,137–1,216, Cambridge Univ. Press, Cambridge, U.K., https://doi.org/10.1017/CBO9781107415324.026.

Dessler, A., and R. E. Kopp (2025), Climate experts’ review of the DOE Climate Working Group Report, ESS Open Archive, https://doi.org/10.22541/ESSOAR.175745244.41950365/V2.

Fox-Kemper, B., et al. (2021), Ocean, cryosphere and sea level change, in Climate Change 2021: The Physical Science Basis. Contribution of Working Group I to the Sixth Assessment Report of the Intergovernmental Panel on Climate Change, edited by V. Masson-Delmotte et al., pp. 1,211–1,362, Cambridge Univ. Press, Cambridge, U.K., https://doi.org/10.1017/9781009157896.011.

Garner, A. J., et al. (2018), Evolution of 21st century sea level rise projections, Earth’s Future, 6, 1,603–1,615, https://doi.org/10.1029/2018EF000991.

Garner, G. G., et al. (2021), IPCC AR6 Sea Level Projection Tool, NASA Sea Level Change Portal, sealevel.nasa.gov/data_tools/17.

Gornitz, V., S. Lebedeff, and J. Hansen (1982), Global sea level trend in the past century, Science, 215(4540), 1,611–1,614, https://doi.org/10.1126/science.215.4540.1611.

Intergovernmental Panel on Climate Change (IPCC) (2025), IPCC Trust Fund Programme and Budget, IPCC-LXII/Doc. 2, rev. 1, IPCC Secr., Geneva, Switzerland, apps.ipcc.ch/eventmanager/documents/88/180220250655-Doc.%202,%20Rev.1%20-%20IPCC%20Programme%20and%20Budget.pdf.

Kopp, R. E., et al. (2023), The Framework for Assessing Changes To Sea-level (FACTS) v1.0: A platform for characterizing parametric and structural uncertainty in future global, relative, and extreme sea-level change, Geosci. Model Dev., 16, 7,461–7,489, https://doi.org/10.5194/gmd-16-7461-2023.

Mercer, J. (1978), West Antarctic ice sheet and CO2 greenhouse effect: A threat of disaster, Nature, 271, 321–325, https://doi.org/10.1038/271321a0.

National Research Council (1987), Responding to Changes in Sea Level: Engineering Implications, Natl. Acad. Press, Washington, D.C.

Oppenheimer, M., et al. (2019), Sea level rise and implications for low-lying islands, coasts and communities, in IPCC Special Report on the Ocean and Cryosphere in a Changing Climate, edited by H.-O. Pörtner et al., pp. 321–445, Cambridge Univ. Press, Cambridge, U.K., https://doi.org/10.1017/9781009157964.006.

Strauss, B. H., et al. (2021), Economic damages from Hurricane Sandy attributable to sea level rise caused by anthropogenic climate change, Nat. Commun., 12, 2720, https://doi.org/10.1038/s41467-021-22838-1.

Törnqvist, T. E., et al. (2025), Evaluating IPCC projections of global sea-level change from the pre-satellite era, Earth’s Future, 13, e2025EF006533, https://doi.org/10.1029/2025EF006533.

Author Information

Andra J. Garner (garnera@rowan.edu), Department of Environmental Science, Rowan University, Glassboro, N.J.; Robert E. Kopp, Department of Earth and Planetary Sciences and Rutgers Climate and Energy Institute, Rutgers University, New Brunswick, N.J.; Gregory G. Garner, Glassboro, N.J.; Aimée B. A. Slangen, Department of Estuarine and Delta Systems, Royal Netherlands Institute for Sea Research, Yerseke; and Benjamin P. Horton, School of Energy and Environment, City University of Hong Kong

Citation: Garner, A. J., R. E. Kopp, G. G. Garner, A. B. A. Slangen, and B. P. Horton (2026), The global impact of losing U.S. sea level science, Eos, 107, https://doi.org/10.1029/2026EO260156. Published on 15 May 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.

Source: AGU Advances

Across the western United States, wildfires are increasing in size and intensity. As the climate continues to warm, more extreme wildfires will reshape landscapes and pose a growing risk to human health and natural ecosystems throughout the West.

Climate models, used to predict other effects of climate change, are unable to directly simulate wildfires. Instead, researchers link previously burned areas to climate variables such as temperature, precipitation, drought, and evaporation, then apply those relationships to future climate projections.

Many recent studies have connected higher vapor pressure deficit (VPD)—a measure of atmospheric dryness—to more area burned in previous fires. VPD increases as the temperature rises, so models that rely on it generally predict an increase in wildfire activity as the climate warms.

Cheng et al. raise questions about the role VPD plays in modeling wildfire, suggesting that VPD is a poor measure of fuel dryness at larger scales and overestimates potential burned areas under significant warming conditions. Instead, researchers suggest soil moisture could be a more reliable indicator of fuel dryness and lead to more moderate projections of wildfire increases.

The researchers looked at five forested ecoregions in the western states. Using the Western US MTBS-Interagency wildfire dataset from 1984 to 2020 combined with climate data (temperature, VPD, and soil moisture), the researchers analyzed drivers of the area burned from May through October. They connected this information with output from climate models to look at future burn potential.

VPD-based wildfire predictions increase sharply under warming conditions. These predictions showed that under 3°C of average global warming, 16 times as much land would burn by the end of the century, compared to historical levels. Under 4°C of warming, up to 66 times more land would burn by the end of the century. This “truly massive” increase, the authors say, would mean fires consuming vegetation almost as soon as it regrows.

Soil moisture, on the other hand, provides a more moderate, though still concerning, picture. Under the same warming scenarios, soil moisture changes would lead to an increase in burned area of only 2–3 times that of the historical period. The researchers argue that projections relying on VPD severely exaggerate wildfire risk. (AGU Advances, https://doi.org/10.1029/2026AV002350, 2026)

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

Citation: Owen, R. (2026), How much will western wildfires worsen under warming?, Eos, 107, https://doi.org/10.1029/2026EO260147. Published on 15 May 2026. Text © 2026. AGU. CC BY-NC-ND 3.0
Except where otherwise noted, images are subject to copyright. Any reuse without express permission from the copyright owner is prohibited.

For an agricultural nation like New Zealand, severe drought is one of the most ominous consequences of a warming planet.

Author(s): Dipankar Ray, Pralay Kumar Karmakar, Bharati Kakad, and Amar Kakad

The Jeans instability is a fundamental mechanism driving the gravitational collapse and subsequent structure formation in diverse self-gravitating astrophysical environments. We present comprehensive numerical fluid simulations of the Jeans instability in a three component dusty plasma system. The h…

[Phys. Rev. E 113, 055212] Published Fri May 15, 2026

Multi-year La Niña events—so-called "double-dip" or even "triple-dip" La Niñas—are becoming more common. But why do these events persist for multiple years in the first place?

On 19 July 2025, intense, long duration rainfall triggered over 550 landslides in Sancheong, South Korea, killing at least 10 people.

On 19 July 2025, extremely heavy rainfall triggered multiple landslides in Sancheong, South Korea. This event has been described by a new paper (Nguyen et al. 2026) just published in the journal Landslides. The paper is behind a paywall, but this link should give you access at the time of writing.

The core of the affected area is at [35.4333, 127.9111] (as usual, Landslides provides the location in degrees minutes and seconds when digital degrees is so much more useful – a pet frustration of mine!). This is a Planet Labs image of a part of the area, captured before the event. The marker is at the coordinate noted above:-

Planet Labs image of a part of the area affected by landslides during heavy rainfall in Sancheong County, South Korea on 19 July 2025. Image copyright Planet Labs, used with permission. Image dated 10 July 2025.

And this is the same area after 19 July 2025:-

Planet Labs image of a part of the area affected by landslides during heavy rainfall in Sancheong County, South Korea on 19 July 2025. Image copyright Planet Labs, used with permission. Image dated 23 July 2025.

And here is a slider to allow a comparison:-

Images by Planet Labs.

Nguyen et al. (2026) have mapped 568 individual landslides triggered by this rainfall event, triggered by rainfall in the range of 498 – 619 mm over a c. 55 hour period. These landslides killed at least 10 people and caused damage to homes and infrastructure. It is estimated that the restoration costs are in the order of US$800 million.

In common with many other events of this type, the landslides are mainly shallow, translational failures in soil or regolith on steeper slopes. As I have frequently noted, such terrain is very susceptible to unusually intense rainfall events, which often trigger a cluster of landslides in close proximity. These often merge to form channelised debris flows. Nguyen et al. (2026) note however that their modelling indicates that it was a combination of the intensity of the rainfall and its duration that led to these failures.

As rainfall intensities increase due to climate change, we are seeing increasing numbers of these landslide clusters. I greatly welcome studies such as Nguyen et al. (2026) , which allow us to build understanding in each case.

Reference and acknowledgement

Nguyen, H.H.D., Song, C.H. & Kim, Y.T. 2026. Physically based data-driven analysis for large-scale investigation of the July 2025 rainfall-induced landslide in Sancheong, South Korea. Landslides. https://doi.org/10.1007/s10346-026-02778-x

Planet Team 20246. Planet Application Program Interface: In Space for Life on Earth. San Francisco, CA. https://www.planet.com/

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.

SummaryReconstructing subsurface structures with high resolution is one of the main goals and potentials of full waveform inversion (FWI). However, FWI is a highly nonlinear and ill-posed problem. Conventional physics-based FWI methods, which rely on gradient-based optimization to minimize the difference between observed and synthetic data face cycle-skipping challenge. Although numerous deep-learning inversion approaches have shown promise, they typically focus on latent representations of time-domain seismic data. This often causes an unstable inversion process due to waveform mismatches. To overcome these limitations, we introduce FFT-InversionGAN, an unsupervised seismic inversion framework that integrates physics-based forward modeling with adversarial learning of the frequency-domain data based on Wasserstein generative adversarial network with gradient penalty (WGAN-GP). Fast Fourier transformer (FFT) is employed to transfer the time and phase information of time-domain seismic data into the spectrum and amplitude distributions to modify the feature space and sensitivity of the adversarial loss to different types of mismatches. By leveraging Wasserstein distance constraints, this method can naturally operate on the spectral distributions of seismic data. Compared with L2 norm, Wasserstein distance is far less sensitive to the linear variations in the phase spectrum. And our proposed method eliminates the need for network pre-training while improving stability and flexibility. FFT-InversionGAN demonstrates enhanced accuracy and resilience in numerical experiments on noise-free, noisy and missing low-frequency benchmarks. This was observed when applied to the Marmousi and overthrust models, where it consistently outperformed conventional FWI and FWIGAN. These findings highlight that FFT-InversionGAN has superior inversion effectiveness.

SummaryThe 2020 MS 5.0 Qiaojia earthquake occurred in a tectonically complex region near the Xiaojiang fault in southwestern China. We investigated the rupture process of this moderate-sized earthquake using a multi-empirical Green’s function (EGF) inversion method that integrated waveforms from multiple EGF events. Synthetic tests demonstrated that the multi-EGF inversion method recovered the input model more robustly than any individual EGF inversion. The resolved spatiotemporal rupture model of this earthquake indicated a compact rupture lasting approximately 2.9 s, dominated by a major asperity near the hypocenter and characterized by predominantly eastward rupture propagation. Bootstrap resampling analyses further confirmed the robustness of the resolved major coseismic slip distribution and the overall moment release pattern. We also observed a spatial complementarity between the coseismic slip and aftershock distributions, with most aftershocks clustering around the periphery of the major asperity. This study not only elucidates the source complexity of the 2020 MS 5.0 Qiaojia earthquake, but also validates the robustness and effectiveness of the multi-EGF inversion method in resolving the rupture processes of moderate-sized earthquakes. Our results provide new insights into the rupture kinematics of moderate-sized earthquakes and the heterogeneity of fault strength and stress within the Xiaojiang fault zone and its surrounding regions.

As densely populated coastal communities struggle to keep up with rising sea levels, new research reveals a way to predict how river deltas build land and protect coastal regions from encroaching oceans. This insight will help engineers and policymakers estimate how much new land can be created or maintained when human intervention is used to redirect river channels, making these efforts more effective for coastal restoration and flood protection.

Can "snow" fall in the ocean and influence the climate of the entire planet? It turns out that it can. Research conducted by scientists from the Faculty of Physics at University of Warsaw, published in the Journal of Fluid Mechanics, helps us understand how microscopic flakes of dead organic matter collide and sink into the deep ocean, transporting vast amounts of carbon and affecting the pace of global warming.

Asia's last tropical glaciers can be found near Puncak Jaya, Papua, the highest peak in Southeast Asia. But it is unlikely that they will survive until the end of this decade. Over the past 44 years, the peak has lost 97% of its ice and four of its glaciers. Its remaining two glaciers, Carstensz and the East Northwall Firn glacier, are expected to disappear by 2030, adding Indonesia (alongside Venezuela and Slovenia) to the list of countries that have lost all of their glaciers.

Viruses play a far more active role in Earth's carbon cycle than previously understood, according to new research that reveals how they infect and control microbes responsible for carbon production in some of the planet's largest, darkest ecosystems. The findings are published in the journal Nature Communications.

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.

The National Science Foundation (NSF) has eliminated its postdoctoral fellowship funding for Earth scientists.

On the NSF website, the opportunity is listed as “archived.” This first came to the attention of Eos this week, although a Redditor had posted about the opportunity being archived as far back as March.

 Related

•  Earth Sciences Postdoctoral Fellowships (Archived)
•  NSF announces organizational realignment
•  Get Involved: AGU Science Policy Action Center
 

“What do you do when the most powerful people in the country just decide that your field shouldn’t exist anymore?” asked one Earth scientist on Bluesky.

“So, what are we doing now that we’re just not going to have new grants in GEO?” asked another.

According to the last program solicitation, posted in October 2024, the program generally awarded about $2.78 million each year, funding 8 to 10 postdoctoral fellowships. Proposals could be related to any of the disciplines within the scope of NSF’s Division of Earth Sciences (EAR), part of the NSF Directorate for Geosciences (NSF GEO).

The NSF announced an “organizational realignment” in December 2025. As part of the agencywide reorganization, GEO gained new leadership in February 2026. Joydip Kundu, the new NSF GEO Directorate Head, first joined NSF GEO in July 2025 as the agency’s deputy assistance director, coming from the NSF Directorate for Computer and Information Science and Engineering. He previously worked for the White House Office of Management and Budget (under President Obama) and the University of Maryland. Like Kundu, NSF’s new deputy directorate heads also came from within the agency.

When contacted about the archived opportunity, an NSF spokesperson confirmed to Eos that “The EAR postdoc fellowship solicitation has been archived and will not have a competition this fall. NSF regularly evaluates its portfolio of funding opportunities and will continue to explore funding opportunities for early career geoscientists.”

NSF continues to offer fellowship opportunities to postdoctoral researchers in the fields of engineering, entrepreneurial research, mathematics and physical sciences. Fellowships to postdocs in biology are available only if they involve the use of artificial intelligence.

—Emily Gardner (@emfurd.bsky.social), Associate Editor

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 © 2026. AGU. CC BY-NC-ND 3.0
Except where otherwise noted, images are subject to copyright. Any reuse without express permission from the copyright owner is prohibited.

Combined extreme climate events are likely to become more common in the future if carbon emissions continue to rise, a paper in Nature suggests. The study finds that the frequency of compound events—such as concurrent hot–wet and drought–heat extremes—is linked to cumulative carbon dioxide (CO2) emissions. In particular, the frequency of more severe events is predicted to escalate rapidly.

The retreat of glaciers and ice sheets is expected to have widespread impacts on communities around the world because of its effect on sea levels. Already, the global average sea level is more than 10 centimeters higher than it was just 3 decades ago; and the rate of rise is increasing, contributing to increased storm surges and flooding, lost infrastructure and community lands, and more.

Recent reports on the instability of Antarctica’s Thwaites Glacier, for example, have focused attention on how accelerating ice flow can lead to ice sheet collapse and rising sea levels.

Recent reports on the instability of Antarctica’s Thwaites Glacier, for example, have focused attention on how accelerating ice flow can lead to ice sheet collapse and rising sea levels. Yet there is still substantial uncertainty about how quickly Thwaites and other glaciers will lose ice, in part because we don’t fully understand the myriad processes that contribute to their mass balance.

Earth’s ice sheets accumulate ice through snowfall and lose mass through a mix of surface ablation, iceberg calving, and melting at their interface with the ocean. Glacial ice flows under its own weight, and the rate at which it flows to coastal areas is a primary control on ice sheet mass loss.

Flow rates depend on how much resistance an ice sheet encounters at its interface with the ground (e.g., whether it is frozen to its substrate) and on its effective viscosity, a measure of how strongly it resists deformation. The viscosity of ice, in turn, varies based on properties including temperature, crystal size and orientation, and impurity content.

Some properties within and beneath ice sheets that affect how they flow are anisotropic, meaning they vary by direction. For example, roughness in some directions at the ice bed can facilitate ice sliding more effectively than roughness in other directions, similar to the way a properly oriented corrugated metal roof allows snow to slide off. Several forms of anisotropy within ice also affect how ice flows from land to ocean (Figure 1).

Fig. 1. Anisotropy in glaciers and ice sheets has various sources, including from ice fabric and other properties within the ice (englacial) or at the ice-bed interface. Many forms of anisotropy in glacial ice can be measured with radar. Credit: Adapted from Hills et al., 2025, https://doi.org/10.1029/2024RG000842, CC BY 4.0

Measuring anisotropic properties is key to better understanding how quickly changes at the edges of the Greenland and Antarctic ice sheets will lead to sea level rise. Recent advances in ice-penetrating radar technology and in processing radar data are revolutionizing how we observe directionally varying ice sheet properties, paving the way for projections of mass changes that account for previously neglected processes.

Crystal Fabric: Memory and Modulator of Ice Flow

Fabric, the orientation of crystals composing ice, is the best studied and arguably most important of anisotropic ice sheet properties. As ice deforms, for example, by stretching horizontally as it flows toward the coast, its millimeter-scale crystals are reoriented (Figure 1).

Fabric thus contains a memory of past flow. Simultaneously, fabric influences flow because ice crystals are about 3 orders of magnitude easier to shear in some directions than others—similar to how stacked playing cards slide easily against each other when held along their edges but resist motion when pinched top to bottom.

Over the past 20 years, radar polarimetry has matured into a quicker and easier alternative means for inferring fabric.

The potential importance of fabric on large-scale ice flow has long been recognized, but a shortage of observations has made it difficult to quantify and validate its effect in ice sheet models. Until recently, fabric could be measured only directly in ice cores or inferred through seismic soundings. These methods provide highly detailed information about how fabric develops but are expensive, logistically taxing, and provide information only about sparse point locations.

Over the past 20 years, though, radar polarimetry has matured into a quicker and easier alternative means for inferring fabric, enabling observations at the scale of entire glaciers and providing new constraints on how fabric influences ice sheet flow.

How Radar Reveals Fabric

Ice-penetrating radar instruments emit electromagnetic energy as radio frequency waves. These waves reflect off interfaces within and beneath glacial ice, including transitions in ice chemistry and the contact surface between the ice sheet and the ground or water below. The properties of the reflected waves are then measured when they return to the radar. Just as fabric leads to anisotropic ice deformation, it also introduces directional dependence in the measured electrical properties.

The speed of a radar wave through an ice crystal is approximately 1% faster if the wave is polarized across the crystal’s principal (c) axis rather than aligned with it. Though small, this difference can compound enough that it causes measurable changes in returned radar signals.

In a typical radar survey over anisotropic ice, waves with different polarizations travel at slightly different speeds (Figure 2). The times that return signals arrive back at the receiver thus vary directionally, a difference that can be identified using polarimetric radars that transmit and receive radio waves at multiple orientations.

Fig. 2. Propagation of polarized radio waves through anisotropic ice reveals structural variations with depth because waves aligned across the prevailing ice fabric (represented by the ball, in which darker shading indicates a greater concentration of c axes) travel faster than waves aligned with the fabric. The phase delay increases as the effect of the anisotropy accumulates with depth. Credit: Adapted from Hills et al., 2025, https://doi.org/10.1029/2024RG000842, CC BY 4.0

Fabric’s effect on radar signal travel times accumulates through an ice column, so it is more prominent in thicker ice with stronger horizontal fabric (i.e., the ice crystals are more consistently aligned). In such cases, differences in travel times between polarizations can be measured even by standard radars.

When fabric is weaker or ice is thinner, the offset is smaller and detectable only by systems that can identify the phases of radar returns—that is, the exact positions of the returned waves in their oscillation cycle. Even small wave speed differences from weak fabrics accumulate into measurable phase shifts between polarizations, which can be used to determine the consistency of crystal alignment and the predominant crystal orientation.

Small differences in fabric through an ice column can also change the strength, or amplitude, of returned signals. This amplitude difference offers an independent way to identify fabric orientation and its depth variation.

Polarimetric radar has been widely applied in cryospheric science in recent years largely due to the advent of low-cost systems that can measure signal phases. For example, the popular Autonomous phase-sensitive Radio Echo Sounder (ApRES) is a lightweight, ground-based system that can be used to infer ice fabric at single points down to 2 kilometers deep. In the past decade, polarimetric ApRES systems have revealed ice flow histories, including changes in flow directions, of key glaciers over the past few millennia. These measurements offer windows into how ice sheets responded to previous climate variations.

A mobile, quad-polarimetric radar is dragged by snowmobile over the surface of Müller Ice Cap on Axel Heiberg Island in Nunavut, Canada, in May 2023. Credit: David Lilien

The next generation of polarimetric radars go beyond one-point-at-a-time stationary soundings, offering full polarimetry capabilities on moving platforms. These systems may soon allow scientists to map directional ice properties at the scale of entire ice sheets.

Insights into Fast-Flowing Ice Fabric

The growing number of radar studies conducted near sites where ice cores have been collected, which allow fabric to be investigated up close, has provided validation and bolstered confidence that fabric can be inferred accurately from its effects on radar. Researchers now infer fabric from radar in more dynamic areas, such as Thwaites Glacier, Whillans Ice Stream, and the Northeast Greenland Ice Stream (NEGIS), where ice fabrics change over short spatial scales and where drilling ice cores is logistically difficult. Airborne radar surveys are particularly effective in these settings because they can efficiently map fabric variations across large, fast-moving areas.

Observations of strong fabrics in fast-flowing regions suggest that fabric is an important control on ice viscosity, although its implications for ice flow are just beginning to be explored. For example, at Rutford Ice Stream in Antarctica, ApRES data indicate that fabric causes sharp changes in viscosity in different directions with depth, a complexity not captured by current ice flow models.

A combination of airborne and ground-based radar shows that the fabric of the NEGIS varies substantially across the ice stream, which facilitates horizontal shear that allows faster and more cohesive flow in the middle of the ice stream while simultaneously stiffening this ice against along-flow stretching. These viscosity variations may alter how quickly coastal changes, such as increased melt due to climate warming, influence inland ice flow.

Scientists have studied ice sheet mass balance at glacier-mounted stations along the renowned “K-transect” near Kangerlussuaq in southwestern Greenland since the early 1990s. This image shows a view up the transect in April 2025. Polarimetric radar offers another tool with which to study ice flow here and at other locations on the ice sheets. Credit: Tamara Gerber

The emerging consensus from radar observations and recent progress in fabric modeling is that ice fabric can soften ice stream shear margins by a factor of 10. In other words, the fabric tends to develop in a way that greatly reduces the ice’s effective viscosity at lateral boundaries between fast-flowing and slower-flowing ice, which enables the ice to deform more easily at the margins. The agreement between observations and process-scale modeling highlights fabric as a major, but largely ignored, control on ice flow that may affect estimates of how ice dynamics will contribute to future sea level rise.

Beyond Fabric

Most polarimetric radar studies so far have focused on fabric, but other ice characteristics can cause directional effects too. For instance, bubbles trapped in ice have dramatically different properties than ice itself. Ice deformation can bring bubbles into alignment, such that they affect radar waves differently in different directions.

Likewise, ice at its melting point can contain liquid water along boundaries between crystals, and if those pockets of water are aligned in one direction, they can also affect radar returns. Each of these properties has important influences on ice flow, but their implications are yet to be explored.

Another source of anisotropy is the bottom boundary of the ice sheet. This interface can be rougher in some directions than others, though the roughness is typically aligned with the prevailing ice flow direction or the direction of meltwater trapped within the ice.

Polarimetric radar can measure directionally dependent properties of ice sheet bases at a finer scale than radar profiling can. Such work is leading to new insights into glacier geomorphology, interactions of ice shelf bottoms with the underlying ocean, and how ice slides over substrate surfaces. Rates and extents of sub-ice-shelf melt and basal sliding are widely recognized as key controls on the future of the ice sheets.

Expanding Horizons: Large-Scale and Planetary Applications

Radar polarimetry has already transformed our understanding of ice fabric, revealing much about how crystal alignment modulates the flow of Earth’s ice sheets and filling critical gaps between the handful of direct measurements from ice cores. As polarimetric techniques mature, their applications are expanding.

Researchers are moving from studying isolated profiles of ice fabric to mapping it across whole basins, a key shift for validating bespoke models of fabric and its effects on flow. These models are also rapidly developing to include additional physical processes (e.g., migration recrystallization) and key simplifications (e.g., reducing directionally varying viscosity to a single number) that allow them to interface more easily with—and be incorporated into—large-scale models used for projecting sea level rise.

Techniques pioneered for measuring ice on Earth may also prove useful elsewhere in the solar system.

Techniques pioneered for measuring ice on Earth may also prove useful elsewhere in the solar system. Orbital radar sounders have already probed Mars’s ice masses, and the icy shell of Jupiter’s moon Europa will soon be surveyed by single-polarization radars aboard NASA’s Europa Clipper and the European Space Agency’s Jupiter Icy Moons Explorer (JUICE). These radars might be useful for polarimetry at some locations on Europa, which could reveal past and present motion of ice features and answer fundamental questions about the moon. Whether Europa’s shell flows, for example, may be key to whether its subsurface ocean can harbor life.

As polarimetric radar systems become routine tools for glaciologists and as similar instruments begin operating on spacecraft exploring icy worlds, a technique once limited to a few isolated core sites on Earth could be poised to transform our understanding of ice across the solar system.

Author Information

David Lilien (dlilien@iu.edu), Indiana University Bloomington; T. J. Young, University of St Andrews, Fife, Scotland; Benjamin Hills, Colorado School of Mines, Golden; Tamara Gerber, Université de Lausanne, Lausanne, Switzerland; and Matthew Siegfried, Colorado School of Mines, Golden

Citation: Lilien, D., T. J. Young, B. Hills, T. Gerber, and M. Siegfried (2026), New directions in mapping ice sheet fabrics and flow, Eos, 107, https://doi.org/10.1029/2026EO260154. Published on 14 May 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.

When it comes to thriving at high elevation, diminutive plants are always a safe bet. And low-lying vegetation is in fact colonizing higher and higher reaches as the climate changes, new results reveal. Researchers analyzed more than 2 decades’ worth of satellite data and showed that the vegetation line in the Himalayas is moving upward, in some cases by up to several meters per year. These changes have implications for the hydrology of the region and therefore for water resources for the population centers located downstream, the team reported last month in Ecography.

Mountains and People

“If you’re going to understand climate change across the Himalayas, you can’t just look at one location.”

The Himalayas, with their massive stores of frozen water, are part of a region known as the planet’s “Third Pole.” Nearly a billion people rely on water sourced from this area, but the Himalayas aren’t immune to climate change—shifts in temperature and precipitation patterns are causing glaciers to melt and permafrost to thaw, among other effects. “The Himalayan mountains are experiencing a lot of ecosystem changes,” said Ruolin Leng, an Earth scientist who led this new research while at the University of Exeter in the United Kingdom. She currently works at H2Tab, a wellness company.

And while the macroscopic effects of climate change in mountainous regions—the melting of the aforementioned glaciers, for example—have been readily studied, shifts in vegetation are often overlooked, said Leng. That’s a problem because plant cover affects everything from soil moisture levels to water runoff to the albedo of the planet’s surface, all of which have consequences for how water moves through the larger system, she said. “It’s a very important factor in the hydrological system.”

Leng and her colleagues focused on six sites, each roughly 40,000 square kilometers in size, in Bhutan, Nepal, and politically disputed areas farther west. Altogether the locales spanned roughly 15° in longitude (about the width of a U.S. time zone). The choice to analyze several locations along an east-west gradient was deliberate, said Stephan Harrison, a climate scientist also at the University of Exeter and a member of the research team. “The western Himalayas are very different from the eastern Himalayas in terms of climate. If you’re going to understand climate change across the Himalayas, you can’t just look at one location.”

Spotting Vegetation from Space

For each of those sites, the researchers mined satellite observations collected from 1999 to 2022 by the NASA/U.S. Geological Survey Landsat program. The researchers focused on visible and near-infrared observations to calculate a metric known as the normalized difference vegetation index (NDVI). Vegetation tends to reflect relatively little visible light while reflecting much more near-infrared light, and that fact can be exploited to infer the presence of vegetation in remote sensing data, said Karen Anderson, a remote sensing scientist at the Environment and Sustainability Institute at the University of Exeter and a member of the research team.

After masking out pixels too obscured by clouds or snow to correctly analyze, Leng and her colleagues calculated the NDVI for each 30- × 30-meter Landsat pixel within their study regions. The team retained pixels with NDVI levels above a minimum threshold and used those data, combined with topography information, to estimate the maximum elevation that was reliably vegetated each year. All six sites exhibited upward trends in the elevations of their vegetation lines over time, the researchers found. A site in central Nepal straddling the country’s northern border recorded the largest changes: From 1999 to 2022, the elevation of its vegetation line rose from roughly 5,520 meters to 5,670 meters, an increase of just under 7 meters per year on average. The five remaining sites all recorded annual upward shifts ranging from about 1 to 6 meters per year on average.

“Broadly speaking, plants are moving up mountains,” said Anderson. But different regions are responding differently, she added. (And while similar results have been previously noted in the Himalayas, not all plant life everywhere is moving up—recent research has shown that some tree lines are in fact moving downslope.)

A Climatic Culprit?

“People neglect the little plants.”

To investigate the potential drivers behind these changes, the team studied correlations with three climatic parameters: temperature, total precipitation, and snow depth. These data came from the European Centre for Medium-Range Weather Forecasts reanalysis dataset, which has a spatial resolution of roughly 30 kilometers.

Leng and her collaborators found that their site with the fastest-changing vegetation line also recorded the most rapid increase in snow depth over time. These two changes might therefore be linked, but more work is needed, Anderson admitted. “We haven’t addressed the causal link here. We’ve simply looked for patterns.”

There’s also a significant mismatch in the spatial resolution of the team’s meteorological data and their Landsat data, said Trevor Keenan, an ecosystem scientist at the University of California, Berkeley not involved in the research. Such a discrepancy can be particularly problematic in complex landscapes like mountain ranges because the coarse meteorological data might not be capturing the true microclimates that are bound to persist in such places, he said. “With heterogenous terrain and large elevational gradients, you really need that microclimate information.”

Sagarmatha National Park in Nepal, home to Mount Everest, is also host to rhododendron forests like this one. Credit: Peter Prokosch, CC BY-NC-SA 2.0

Anderson knows the geographical complexity of the Himalayas firsthand—in 2017 and 2022, she and other scientists conducted fieldwork in Nepal that informed this research. Those trips were a special opportunity to see plants like dwarf rhododendron thriving in tough conditions, she said. And it was a good lesson in appreciating some of the most diminutive members of the plant kingdom, Anderson added. “People neglect the little plants.”

—Katherine Kornei (@KatherineKornei), Science Writer

Citation: Kornei, K. (2026), Vegetation moves upslope across the Himalayas, Eos, 107, https://doi.org/10.1029/2026EO260149. Published on 14 May 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.

Editors’ Vox is a blog from AGU’s Publications Department.

Often times when we think “scientist,” we picture a white lab coat, a pipette. Or, a marine biologist covered in seaweed samples. A geologist with dusty knees and hands full of rock fragments. Endless blue gloves. What we may not always picture is our favorite professors, colleagues, or even students advocating for science to policy makers.

Federal policy decisions have a direct impact on science funding, research priorities, and the role of science in society.

Federal policy decisions have a direct impact on science funding, research priorities, and the role of science in society, and the AGU community has a critical role to play in those conversations. Each year, AGU’s Science Policy and Government Relations (SPGR) team organizes and hosts Congressional Visit Days to connect Earth and space scientists to their elected officials. As a member of AGU’s scientific publications team, I joined the April 21-22 Days of Action to learn about the bills currently impacting our workforce and research, how to craft messages that both speak to our personal experiences, and to ask our elected officials to advocate with and for us.

As a D.C. native, I grew up in close proximity to the power of science, the alphabet agencies, NOAA, NASA, NIH, and USDA. Institutions where the best and brightest were given the resources and support to learn, record, and disseminate knowledge on behalf of our country. In my current role with AGU as a non-profit publisher, I took to the Hill to share my experiences on the publishing and academic peer-review landscape. My role allows me to see first-hand how budget cuts and shifting attitudes have impacted critical programs at the agencies named above. This Days of Action event brought together 58 participants with one goal: to share personal stories that related to four bills:

1. The RESEARCHER Act (H.R. 3054, S.1664)- addresses graduate student financial instability.
2. KEEP STEM Talent Act (H.R. 2627, S.1233)- strengthens the U.S. scientific workforce by making it easier for skilled international STEM graduates from U.S. universities to stay in the U.S.
3. Protect America’s Workforce Act (H.R.2550 passed House, S.2837)- seeks to protect the U.S. federal scientific workforce by restoring collective bargaining (union) rights.
4. Scientific Integrity Act (H.R.1106)- protects the rights of U.S. federal scientists and researchers by safeguarding scientific integrity in federal research and decision-making.

Two participants spoke on their experiences meeting with elected representatives and uniquely captured just how closely the Earth and spaces sciences touch all of our lives.

Sheila Baber, an early career scientist with The University of Maryland, felt compelled to join due to “the uncertain future for myself, my peers, and the American scientific enterprise.” She noted, “It has been especially difficult to witness the deteriorating relationship between scientists, decision makers, and the public. This past year, with its rapidly changing federal landscape, has been a wakeup call to re-engage and remind the public of how science research gives back to the community.”

Ryan Haupt, long-time AGU member and the Executive Director at National Youth Science Academy, with a 10-year track record of geoscience advocacy, emphasized the importance of building relationships with elected officials. “Regardless of party affiliation, I want those staffers to know that when they meet with me or any other AGU member, they will get honest and informed feedback from folks who are truly passionate about our fields,” Ryan told me. “[Experts who can speak to how current bills] impact issues like improved financial support for graduate students, helping international students stay in the US to join the STEM workforce, and protecting funding for federal science agencies and the folks who work for them.”

As a participant myself, I joined the Maryland group to meet with Senator Chris Van Hollen’s office. Van Hollen and I met briefly at the Stand Up for Science March in 2025. His voting track record indicates a long-standing commitment to the scientific community, and he champions bills that support funding federal agencies like NOAA.

(left to right) The Maryland group, McKay Porter, Andrew Inglis, Nour Rawafi, Stephen Jascourt, and Emille Beller met with Senator Chris Van Hollen’s staffer, Leo Confalone. Credit: Beth Bagley, AGU

Finding and discovering the best and the brightest means funding, protecting, and supporting the best and the brightest.

Working in scientific publishing has allowed me to peer behind lab doors, into research vessels sailing through the Arctic, and into the entire ecosystem that is peer-reviewed research. A system that relies on incoming eager students, federal grant funding, consortium agreements between the biggest institutional libraries and the biggest publishing houses in the country, scientific integrity, and future, stable career opportunities. Finding and discovering the best and the brightest means funding, protecting, and supporting the best and the brightest.

Open, accessible science builds and supports both public trust and future scientific advancements. As the world widens and we are all met with increased access to studies, content, and news, scientific storytelling and literacy have never been more important for ensuring public trust. Transparency from the lab and from the field to published output allows for data to be discussed, fact-checked, and reused to support future scientific discovery. Days of Action demonstrates that we have a unique role to play in supporting the health, safety, and future of our country. If you feel called to get involved, please see resources available from SPGR.

Ryan reminds us, “There are lots of ways to participate in our democracy… find where you can best serve as a leader…don’t try to do it all, but try to do something.”

—Emille Beller (ebeller@agu.org, 0009-0009-7274-0706), Senior Program Coordinator, AGU Publications

Citation: Beller, E. (2026), The impact of advocacy: American Geophysical Union’s Days of Action, Eos, 107, https://doi.org/10.1029/2026EO265020. Published on 14 May 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.

Author(s): Jordan Lee, Peter Norreys, Robert Paddock, Matthew Oliver, Pawala Ariyathilaka, Christopher Spindloe, Donna Wyatt, Samuel Irving, Ben Fisher, Nigel Woolsey, Stavros Bakandreas, Bruno Albertazzi, Michel Koenig, Piotr Rączka, Takayoshi Sano, Alexis Amouretti, Naoki Yamagata, Kai Taketoshi, Kosuke Nishitani, and Norimasa Ozaki

Low-density foams are of significant interest in inertial confinement fusion (ICF), with potential applications as fuel carriers, ablation layers, or as a hohlraum filling material. Despite their potential, the shock response of these materials remains poorly characterized, limiting the accuracy of …

[Phys. Rev. E 113, 055210] Published Thu May 14, 2026