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Dust and Marine Halogens Team Up to Destroy Tropospheric Ozone

EOS - Thu, 09/17/2026 - 15:05

Editors’ Highlights are summaries of recent papers by AGU’s journal editors. Source: AGU Advances

Both tropospheric ozone and mineral dust are air pollutants capable of being transported over long distances from their original sources. Despite coming from different sources, both pose significant threats to human health, interact with the Earth’s climate system, and can negatively impact agricultural productivity. While scientists know that mineral dust acts as a natural sink for the ozone, the mechanisms represented in current global models are insufficient to explain the observed ozone reductions in dust-influenced regions.

Meidan et al. [2026] apply a global chemistry-climate model with explicit representation of dust-induced release of halogens, specifically chlorine and iodine, in the marine atmosphere. The authors demonstrate that this dust-catalyzed chemistry leads to substantial ozone reductions over marine regions, successfully matching real-world observations of dust-induced ozone loss. The authors also find that this natural ozone reduction yields surprisingly positive impacts far from dust sources, boosting crop production in major agricultural belts and lowering ozone-related mortality in densely populated areas like South Asia.

As climate change is expected to expand desert regions and increase global dust emissions in the future, this natural ozone-destroying mechanism has the potential to significantly modulate future tropospheric ozone levels.

Citation: Meidan, D., Bossolasco, A., Cuevas, C. A., Villamayor, J., Fernandez, R. P., Li, Q., et al. (2026). Global ozone reduction driven by dust-catalyzed halogen chemistry. AGU Advances, 7, e2026AV002453. https://doi.org/10.1029/2026AV002453

—Vaishali Naik, Editor, AGU Advances

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.

Temperature measurement error may cause climate-impact studies to understate impacts by 15% or more

Phys.org: Earth science - Thu, 09/17/2026 - 14:20
When policymakers and city officials plan for climate change, they rely on economic studies showing how extreme heat affects violent crime, public health, energy grids and crop yields.

Earth's atmosphere is getting less dusty: That could be adding to global warming

Phys.org: Earth science - Thu, 09/17/2026 - 13:40
Atmospheric desert dust has long swirled around the globe, but a new UCLA study presents the strongest evidence yet that global dust is mysteriously decreasing. Because atmospheric dust has a slight overall cooling effect on the climate, the researchers say its decrease may have contributed modestly to recent climate warming.

Scientists Mapped a Hidden Glacier Using Gravity

EOS - Thu, 09/17/2026 - 13:34

Most of the tens of thousands of hikers that trek up Utah’s Mount Timpanogos each year have no idea that the rockfall below them conceals an enormous glacier. And beyond the people who study them, knowledge that glaciers like these, called rock glaciers, even exist in Utah is not widespread, said Michael Thorne, a seismologist at the University of Utah.

But that’s what Timpanogos Glacier is: a glacier concealed by layers of fallen rock that contains rock debris. Its ice is internal, which is why so many Utah recreationists barely know it’s there.

Though it’s hidden, the glacier contains an enormous amount of ice: 1,550,000 cubic meters, or enough to fill Egypt’s largest pyramid, according to a new study published in the Journal of Geophysical Research: Earth Surface. The study provides a detailed 3D map of the rock glacier using a new approach and is an important step toward a better understanding of rock glaciers in Utah and beyond, said Doug Clark, a geologist at Western Washington University who was not involved in the study but researches rock glaciers in the western United States and New Zealand.

The study takes “an elegant approach to address one of the more vexing problems regarding rock glaciers: What is the internal ice content of these things?” Clark said.

Defining Gravity

“Can we come up with techniques for imaging the interior of these rock glaciers that don’t only rely on ground-penetrating radar?”

To measure regular glaciers and to know how much water they contain, scientists usually use ground-penetrating radar (GPR), which travels easily through ice. But the method doesn’t work as well with rock glaciers. GPR can’t always detect the bedrock beneath the glacier because it can’t penetrate the rock layer above it, so the method can’t always tell how thick a rock glacier really is.

“Part of our motivation has been, well, ‘Can we come up with techniques for imaging the interior of these rock glaciers that don’t only rely on ground-penetrating radar?’” said Thorne, who is also a coauthor of the new study. While teaching an undergraduate geology lab class, he had an idea: Could the research team use a gravimeter instead?

Because Earth’s surface and interior (and therefore mass) change very slightly depending on where on the planet you are, its gravity changes slightly, too. Over very dense bedrock, for example, you weigh slightly more than you would standing above a vast underground cave. A gravimeter measures these tiny changes in gravity and can therefore tell scientists the differences in density of underground material—such as the difference between rock and ice.

Some hikers might assume Timpanogos Rock Glacier is visible from the trail, but that’s just last winter’s snow. The glacier itself is hidden beneath a layer of loose rock. Credit: Robben Migacz, Michael Thorne

“As we get to areas where the ice is thicker and thicker, the gravitational acceleration is just lower and lower,” Thorne said.

Gravimeters were used previously to measure glaciers, but the method fell out of favor when GPR was developed. In addition, the gravimeters of today are more sensitive and accurate than ever before, allowing scientists to measure “really small deviations in the gravitational field,” said Leif Andersson, a glaciologist at the University of Utah and a coauthor of the new study. “The reason why the study was possible was the technology.”

University of Utah master’s student and ultrarunner Bronson Cvijanovich carried the gravimeter up a 5-mile, high-elevation trail, taking 232 gravimeter measurements over the course of six multiday trips to Timpanogos Glacier. Then, the team analyzed the data using a statistical method called Bayesian inversion, which compares thousands of predictions from simulations of the distribution of ice beneath the surface to real measurements of the glacier, giving researchers a measure of how well their data fit reality.

Cvijanovich and the gravimeter, which made imaging the rock glacier possible. Credit: Bronson Cvijanovich

According to Clark, the modeling in the study and the use of the gravimeter marked a “significant improvement over past efforts of estimating ice volume” in rock glaciers.

Using this method, along with some measurements of other rock glaciers, the researchers determined a relationship between the surface area of a rock glacier and the typical volume of ice beneath it. They estimated that Timpanogos Glacier contains enough ice to fill about 600 Olympic swimming pools with an equivalent amount of water.

“It’s a huge volume of ice—I’m surprised there is that much,” Anderson said.

Expanding their analysis, the researchers estimated that rock glaciers in the state of Utah hold about 1.08 cubic kilometers of ice, rock glaciers across the western United States hold up to about 13 cubic kilometers of ice, and all the known rock glaciers on Earth store about 52.38 cubic kilometers of ice. (For reference, the Antarctic Ice Sheet contains about 30 million cubic kilometers of ice.)

The Role of Rock Glaciers

Rock glaciers are a unique source of water, Thorne said, because they release water year-round, including at the end of summer when other water stores have been depleted. The layer of rock above them also insulates them from heat, making them more resilient in warming weather. Plus, they can act as environmental refuges for plants and wildlife (such as the American pika) because they provide a relatively cooler habitat. Understanding how much ice rock glaciers store is the first step in understanding how they might melt in the future, too.

The new study also opens an opportunity to start investigating the extent to which Utah’s rock glaciers contribute to the state’s water systems—they’re unaccounted for in the state’s hydrological models, meaning scientists don’t have the full picture of how their meltwater affects the rest of the state. “They represent these unrecognized ice reservoirs and water reservoirs,” Clark said. “They’re a unique and particularly resilient resource compared to other glaciers that are melting quite rapidly.”

Timpanogos Rock Glacier and Emerald Lake below it are visible from the summit of South Timpanogos. Credit: Michael Thorne

“If all that ice is stored, is it still growing? How much of it is melting and adding to the downstream hydrology? We don’t know that yet,” Anderson said. He added that it’s difficult to measure how much of the water coming off a rock glacier is from the glacier melt versus groundwater, but doing so would help to answer some of the outstanding questions about rock glaciers in Utah.

“I think this can open a new direction in the study of buried ice globally.”

He hopes other researchers apply the gravimeter and Bayesian analysis method elsewhere to see just how much ice is locked away in the world’s rock glaciers. “I think this can open a new direction in the study of buried ice globally,” he said.

Clark agreed. “It would be great for some other folks to replicate this with a few other rock glaciers, and for a wider variety of rock glaciers,” he said. “That would be an important test of [the data] they’ve got here.”

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

Citation: van Deelen, G. (2026), Scientists mapped a hidden glacier using gravity, Eos, 107, https://doi.org/10.1029/2026EO260297. Published on 17 September 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.

Wind Works: The Atmosphere’s Invisible Energetic Tug-of-War

EOS - Thu, 09/17/2026 - 13:33
Source: AGU Advances

Understanding how wind changes in response to global warming is necessary for accurately modeling climate and weather, identifying risks to infrastructure, and assessing global wind power capacity.

Sunlight delivers energy to Earth. A small part of that energy is converted into atmospheric kinetic energy (i.e., winds), which eventually dissipates into heat and radiates back out to space.

This heat exchange process is called the “atmospheric heat engine.” But traditional models of this engine depend on complex processes such as cloud microphysics that remain poorly constrained, limiting the models’ predictive power.

One of the main questions about wind and climate change is why models and observationally constrained reanalysis exhibit only relatively weak and inconsistent changes in the atmospheric heat engine in response to warming. Researchers also debate whether a wetter atmosphere is decreasing the efficiency of the heat engine, weakening global wind energy dissipation.

Jansen et al. present a new approach to estimating the work that drives the winds, using just two quantities. The first is the height-weighted radiative energy loss of the atmosphere. The second is a bulk Bowen ratio—the ratio of the column-integrated upward sensible heat flux to latent heat flux, which reflects how much energy travels upward as warm air versus latent heat in the form of water vapor.

The study authors worked from first principles to show how those two factors (the height-weighted radiative energy loss and the bulk Bowen ration) can explain changes in the heat engine and wind dissipation in various climate scenarios, including today’s.

They found that increases in radiative cooling in the upper troposphere and a decrease in bulk Bowen ratio with warming are in competition with each other. More radiative cooling increases the atmospheric heat engine’s work output, whereas a decrease in the bulk Bowen ratio reduces that output.

The balance between the two determines changes in the atmosphere’s kinetic energy dissipation and shapes how wind responds to a warming world.

Under current climate conditions, these opposing mechanisms largely cancel each other out, the study found. That could explain the relatively weak and inconsistent changes in global wind energy dissipation during the 21st century predicted in comprehensive climate models and atmospheric reanalysis.

However, the authors note that near-constant global wind energy dissipation does not imply that the winds don’t change at all. Climate change can still lead to significant shifts in atmospheric circulation and in regional wind behavior. The authors’ own simulations show the storm tracks shifting poleward, with substantial regional wind changes.

The authors also applied their theory across a much wider range of climates and found that this near cancellation breaks down at the extremes. In very cold climates, the energy driving the winds drops sharply—consistent with the far less energetic circulation seen in simulations of the Neoproterozoic snowball Earth. In addition, they suggest that given its simplicity, the model could be useful for estimating atmospheric kinetic energy and circulation on exoplanets. (AGU Advances, https://doi.org/10.1029/2026AV002593, 2026)

—Rebecca Dzombak, Science Writer

Citation: Dzombak, R. (2026), Wind works: The atmosphere’s invisible energetic tug-of-war, Eos, 107, https://doi.org/10.1029/2026EO260294. Published on 17 September 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.

Data-adaptive spectro-spatial gating network for lightweight SAR ship detection

Publication date: 15 September 2026

Source: Advances in Space Research, Volume 78, Issue 6

Author(s): Xinyu Hou, Yujuan Han

A multi-agent dynamic role modeling method for multi-satellite observation scheduling

Publication date: 15 September 2026

Source: Advances in Space Research, Volume 78, Issue 6

Author(s): Mengmeng Qin, Wenbin Sun, Xuesheng Zhao, Wenlan Xie

A novel deep learning-based method for adaptive building extraction from high-resolution remote sensing imagery using independent external probabilistic priors

Publication date: 15 September 2026

Source: Advances in Space Research, Volume 78, Issue 6

Author(s): Rana Naanjam, Farshid Farnood Ahmadi, Hamid Ebadi

Comparative analysis of assessing ecological environment quality using different remote sensing ecological indexes

Publication date: 15 September 2026

Source: Advances in Space Research, Volume 78, Issue 6

Author(s): Tong Zheng, Mengmeng Wang, Jiayi Zhou, Guizhou Wang

Satellite evidence of policy-driven thermal-air quality dynamics in rapidly urbanizing Indian cities

Publication date: 15 September 2026

Source: Advances in Space Research, Volume 78, Issue 6

Author(s): A. Chandana, H.R. Shwetha

Dual control of human pressure and natural endowments on habitat quality: A scenario-based LUCC simulation framework for coastal cities

Publication date: 15 September 2026

Source: Advances in Space Research, Volume 78, Issue 6

Author(s): Zili Xiong, Song Yao, Jing Chen

Predicting GIVDs and GIVEs of satellite based augmentation systems applying bayesian neural networks

Publication date: 15 September 2026

Source: Advances in Space Research, Volume 78, Issue 6

Author(s): Ding Wang, Shan Wang, Bocheng Zhu, Zhenchong Wang

OrthoMamba: hierarchical spatial modeling with orthogonal attention for multi-source remote sensing image fusion

Publication date: 15 September 2026

Source: Advances in Space Research, Volume 78, Issue 6

Author(s): Xiandai Cui, Wenwen Cai, Li Zhang

A high-precision calibration method for CEI system errors based on GNSS satellites

Publication date: 15 September 2026

Source: Advances in Space Research, Volume 78, Issue 6

Author(s): Xingxing Shan, Zejun Liu, Peiyuan Zhou, Zhongkai Zhang, Lan Du, Mengqi Wang

Integrating remote sensing and deep learning models to assess construction area vulnerability in Ho Chi Minh City after the 2025 provincial merger

Publication date: 15 September 2026

Source: Advances in Space Research, Volume 78, Issue 6

Author(s): Anh Ngoc Thi Do

Knowledge-driven random forest models for identifying soybean planting areas from Sentinel-1/2 satellite imagery: An interpretable mapping approach

Publication date: 15 September 2026

Source: Advances in Space Research, Volume 78, Issue 6

Author(s): Xinwen Wan, Tian Xiao, Jinling Zhao, Bao She, Haotong Wu, Linsheng Huang

Estimating daily air temperature in Zanjan Province using MODIS data and Random Forest: a seasonal and spatial analysis (2018–2022)

Publication date: 15 September 2026

Source: Advances in Space Research, Volume 78, Issue 6

Author(s): Reza Angouti, Eslam Javadnia, Jamal Aghayari, Somayyeh Talebi

Revisiting Laterolog LL7 Data Inversion for Improved Resistivity Reconstruction and Boundary Detection in Multiple Thin-Bed Reservoirs

Geophysical Journal International - Thu, 09/17/2026 - 00:00
SummaryReanalysis of Laterolog-7 (LL7) data in thin-bed sequences suffering from severe resistivity suppression caused by shoulder-bed averaging and mud filtrate invasion remains important. We developed a forward modelling and inversion workflow based on the Finite Difference Method (FDM) in cylindrical coordinates (r, z), reducing the problem to an efficient two-dimensional solver. The LL7 bucking current focusing condition is satisfied at every forward step, ensuring correct reproduction of the dynamic instrument response under high resistivity contrasts. The bucking current ratio log (n1/n2) serves as a boundary-detection indicator to initialize the layered-earth model and reduce non-uniqueness. Formation resistivity profiles are recovered through an Inexact Gauss-Newton (IGN) scheme that avoids explicit Jacobian formation, maintaining computational efficiency while guaranteeing a valid descent direction. Synthetic validation demonstrates recovery of the resistivity structure of a single-bed model (0.6 m bed of 30 Ωm with 5 Ωm invaded zone). The inversion successfully recovers the true resistivity of 30 Ωm and background of 10 Ωm. A multi-bed test shows the inversion resolves bed boundaries at decimeter scale, recovering layers as thin as 20 cm from a smeared raw log. Application of the inversion to a real LL7 dataset from the Cuu Long Basin, Vietnam, confirms field applicability. The inversion reconstructs sharper resistive peaks throughout the thin-bed interval, providing an improved representation of true formation resistivity.

Petrophysical Joint Inversion of Electrical and Seismic Tomographic Data Including Shear Waves

Geophysical Journal International - Thu, 09/17/2026 - 00:00
SummaryPetrophysical characterization in near-surface environments remains challenging due to the high heterogeneity, sharp contrasts in fluid content, and complex hydrogeological structures. This work introduces a novel petrophysical joint inversion (PJI) framework that integrates SH-wave seismic refraction tomography (SRT) with electrical resistivity tomography (ERT) and, optionally, time-domain induced polarization (IP) data, replacing the conventional approach based on P-wave velocity and Wyllie’s equation with the Castagna relation for S-wave velocity. By reducing sensitivity to pore-fluid effects, the framework preserves robust saturation estimates while significantly improving porosity reconstruction in both its spatial distribution and absolute values. A synthetic example and two field case studies with contrasting hydrogeological layering demonstrate the capability of our method to provide physically consistent, fully quantitative, and high-resolution characterization of complex near-surface scenarios, extending the scope of PJI beyond classical applications. Additionally, in settings where the IP contribution is limited, the strong sensitivity of S-waves to site lithology allows for a comprehensive characterization without including IP data, which are required in traditional approaches to fully characterize complex scenarios, thereby reducing survey costs and overall complexity.

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