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Groundwater science in the age of AI: emerging paradigms and challenges

Publication date: 15 February 2026

Source: Advances in Space Research, Volume 77, Issue 4

Author(s): Mahfuzur Rahman, Asif Raihan, Syed Masiur Rahman, Md Anuwer Hossain, Mohammed Benaafi, Isam H. Aljundi

A dual-capsule structural airship for flight in the stratosphere

Publication date: 15 February 2026

Source: Advances in Space Research, Volume 77, Issue 4

Author(s): Zhiguang Shi, Zongyu Zuo, Jiawei Song, Jingchuan Tang, Gang Wang

Monitoring and forecasting agricultural drought in Golestan Province, Iran (2001–2028): an integrated approach using remote sensing and machine learning

Publication date: 15 February 2026

Source: Advances in Space Research, Volume 77, Issue 4

Author(s): Mahsa Jahanbakhsh, Mehdi Akhoondzadeh

Long-term frozen repeat orbits with large eccentricity under complex perturbations

Publication date: 15 February 2026

Source: Advances in Space Research, Volume 77, Issue 4

Author(s): Tao Nie, Zhijun Que, Shijie Zhang, Jiadong Ren, Rui Xu

Ionospheric response to extreme geomagnetic storm (<math xmlns:mml="http://www.w3.org/1998/Math/MathML" altimg="si35.svg" class="math"><mrow><mi>G</mi><mn>5</mn></mrow></math>) of 10 May 2024 over the African Sector

Publication date: 15 February 2026

Source: Advances in Space Research, Volume 77, Issue 4

Author(s): Geletaw Behailu, Abdu Mohammed, Yibekal Kassa, Michael W. Liemhon

Spatiotemporal analysis of global broadcast ionospheric model accuracy for GNSS systems during 2023–2024 solar maximum period

Publication date: 15 February 2026

Source: Advances in Space Research, Volume 77, Issue 4

Author(s): Xiangyi Zhang, Hongliang Cai, Qiang Zhang, Ang Liu, Chenghe Fang, Ji Guo

Vibration control of magnetically coupled flexible hinged plate using SAIS-TQCRL algorithm

Publication date: 15 February 2026

Source: Advances in Space Research, Volume 77, Issue 4

Author(s): Zhi-cheng Qiu, Run Yuan, Xian-min Zhang

Quiet-time response of bifurcated and normal equatorial plasma bubbles on GPS TEC and VHF scintillation over the low-latitude Indian region: a case study

Publication date: 15 February 2026

Source: Advances in Space Research, Volume 77, Issue 4

Author(s): A.P. Mane, R.N. Ghodpage, O.B. Gurav, G.A. Chavan, R.S. Vhatkar, P.P. Chikode, K.S. Maner, S.S. Mahajan

Adaptive robust Kalman filter-based InSAR time series analysis for deformation monitoring

Publication date: 15 February 2026

Source: Advances in Space Research, Volume 77, Issue 4

Author(s): Yang Liu, Caijun Xu, Yangmao Wen

Why Are Thunderstorms More Intense Over Land Than Ocean?

EOS - Mon, 02/09/2026 - 19:08
Editors’ Highlights are summaries of recent papers by AGU’s journal editors. Source: Geophysical Research Letters 

Thunderstorms, produced when air rises through the depth of the troposphere, are notoriously difficult to represent in global climate models. Whether air parcels have the energy to rise or not does not depend solely on their characteristics, notably their “Convective Available Potential Energy” (CAPE). It is relative to the state of the environment around them. Specifically, the intensity that they reach, which translates into the potential to produce hail, lightning or damaging winds, depends on how much surrounding air is “entrained” from the sides as the air rises.

Peters et al. [2026] propose a new formulation for CAPE, that they call ECAPE for Entraining CAPE, which incorporates the effect of entrainment from first principles. To verify their theory, they first show that it predicts the geographical distribution of thunderstorms hotspots, such as the U.S. Great Plains, the Pampas of South America, and the African Sahel. They then use it to explain why thunderstorms are more intense over land than over oceans: because of a higher lifting condensation level (LCL) over land, that is, a higher bar that rising air has to reach before it can rise all the way to the top. In addition to solving this longstanding issue, the very fine resolution of the analysis (100m, 1hr) provides an invaluable benchmark for the current generation of kilometer-scale global models being developed.

Citation: Peters, J. M., Chavas, D. R., Su, C.-Y., Murillo, E. M., & Mullendore, G. L. (2026). A unified theory for the global thunderstorm distribution and land–sea contrast. Geophysical Research Letters, 53, e2025GL120252. https://doi.org/10.1029/2025GL120252   

—Alessandra Giannini, Editor, Geophysical Research Letters

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.

How the spring thaw influences arsenic levels in lakes

Phys.org: Earth science - Mon, 02/09/2026 - 18:40
From 1948 to 1953, a gold mine called Giant Mine released about 5 tons of arsenic trioxide per day into the environment around Yellowknife, Northwest Territories, Canada. Emissions declined from the 1950s until the mine closed in 2004, but the surrounding landscape remains highly contaminated with arsenic.

Coastal Wetlands Restoration, Carbon, and the Hidden Role of Groundwater

EOS - Mon, 02/09/2026 - 18:30
Editors’ Vox is a blog from AGU’s Publications Department.

Coastal (tidal) wetlands are low-lying ecosystems found where land meets the sea, including mangroves, saltmarshes, and seagrass meadows. They are shaped by tides and support a mix of marine and terrestrial processes. However, agricultural and urban development over the past century have drained, modified, or degraded many of these coastal wetland ecosystems and now require restoration efforts.

A new article in Reviews of Geophysics explores how subsurface hydrology and biogeochemical processes influence carbon dynamics in coastal wetlands, with a particular focus on restoration. Here, we asked the lead author to give an overview of why coastal wetlands matter, how restoration techniques are being implemented, and where key opportunities lie for future research.

Why are coastal wetlands important?

Coastal wetlands provide many benefits to both nature and people. They protect shorelines from storms and erosion, support fisheries and biodiversity, improve water quality by filtering nutrients and pollutants, and store large amounts of carbon in their soils. Despite covering a relatively small area globally, they punch well above their weight in terms of ecosystem services, making them critical environments for climate regulation, coastal protection, and food security.

What role do coastal wetlands play in the global carbon cycle?

Coastal wetlands are among the most effective natural systems for capturing and storing carbon.

Coastal wetlands are among the most effective natural systems for capturing and storing carbon. This stored carbon is often referred to as “blue carbon”. Vegetation in these ecosystems, such as mangroves, saltmarsh, and seagrass, take up carbon dioxide from the atmosphere through photosynthesis and transfer it to sediments through roots. These plants can store carbon 40 times faster than terrestrial forests. Because coastal wetland sediments are often waterlogged and low in oxygen, this carbon can be stored for centuries to millennia. In addition to surface processes, groundwater plays an important but less visible role by transporting dissolved carbon into and out of wetlands. Understanding these hidden subsurface pathways is essential for accurately estimating how much carbon wetlands store and how they respond to environmental change.

How has land use impacted coastal wetlands over the past century?

Over the past century, coastal wetlands have been extensively altered or lost due to human activities. Large areas have been drained, filled, or isolated from tides to support agriculture, urban development, ports, and flood protection infrastructure. These changes disrupt natural water flow, reduce plant productivity, and expose carbon-rich soils to oxygen, which can release stored carbon back into the atmosphere as greenhouse gases. In many regions, groundwater flow paths have also been modified by drainage systems and groundwater extraction, further altering wetland function. As a result, many coastal wetlands have shifted from long-term carbon sinks to sources of emissions.

How could restoring wetlands help to combat climate change?

Restoring coastal wetlands can help combat climate change by re-establishing natural processes that promote long-term carbon storage.

Restoring coastal wetlands can help combat climate change by re-establishing natural processes that promote long-term carbon storage. When tidal flow and natural hydrology are restored, wetland plants can recover, sediment accumulation increases, and carbon burial resumes. Importantly, restoration can also reconnect groundwater and surface water systems, helping stabilize (redox) conditions that favor carbon preservation in sediments. While wetlands alone cannot solve climate change, they offer a powerful nature-based solution that delivers climate mitigation alongside co-benefits such as coastal protection, biodiversity recovery, and improved water quality. Getting restoration right is key to ensuring these systems act as carbon sinks rather than sources.

What are the main strategies being deployed to restore coastal wetlands?

Common restoration strategies include removing or modifying levees and tidal barriers, reconnecting wetlands to natural tidal regimes, re-establishing natural vegetation through improving the hydrology of the site, and managing sediment supply. Increasingly, restoration projects are recognizing the importance of subsurface processes, such as groundwater flow and salinity dynamics, which strongly influence vegetation health and carbon cycling. Successful restoration requires site-specific designs that consider hydrology, geomorphology, and long-term sea-level rise.

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

Despite growing interest in wetland restoration, major knowledge gaps remain. One key challenge is quantifying how groundwater processes influence carbon storage and greenhouse gas emissions across different wetland types and climates. We also need better long-term measurements to assess whether restored wetlands truly deliver sustained carbon benefits under rising sea levels and increasing climate variability. Finally, integrating hydrology, biogeochemistry, and ecology into predictive models remains difficult but essential. Addressing these gaps will improve carbon accounting, guide smarter restoration investments, and strengthen the role of coastal wetlands in climate mitigation strategies.

—Mahmood Sadat-Noori (mahmood.sadatnoori@jcu.edu.au; 0000-0002-6253-5874), James Cook University: Townsville, Australia

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

Citation: Sadat-Noori, M. (2026), Coastal wetlands restoration, carbon, and the hidden role of groundwater, Eos, 107, https://doi.org/10.1029/2026EO265003. Published on 9 February 2026. This article does not represent the opinion of AGU, Eos, or any of its affiliates. It is solely the opinion of the author(s). Text © 2026. The authors. CC BY-NC-ND 3.0
Except where otherwise noted, images are subject to copyright. Any reuse without express permission from the copyright owner is prohibited.

Why do disasters still happen, despite early warnings? Because systems are built to wait for certainty

Phys.org: Earth science - Mon, 02/09/2026 - 16:29
After major disasters, public debate often treats them as unexpected or unprecedented. This reaction is not necessarily about the absence of warnings. It reflects how societies process shock—and how authorities often explain disruption as unavoidable, rather than the result of earlier choices.

Why melting glaciers are drawing more visitors and what that says about climate change

Phys.org: Earth science - Mon, 02/09/2026 - 16:21
As glaciers around the world continue to shrink and disappear, they are drawing more visitors than ever, not only for their beauty but for what they have come to represent in an era of climate change. A new study co-authored by Rice University anthropologist Cymene Howe examines this phenomenon, showing how melting glaciers have become powerful destinations for tourism, sites of collective grief and symbols of political meaning even as their loss threatens the communities that depend on them.

A Road Map to Truly Sustainable Water Systems in Space

EOS - Mon, 02/09/2026 - 14:21
Source: Water Resources Research

If humans want to live in space, whether on spacecraft or the surface of Mars, one of the first problems to solve is that of water for drinking, hygiene, and life-sustaining plants. Even bringing water to the International Space Station (ISS) in low Earth orbit costs on the order of tens of thousands of dollars. Thus, finding efficient, durable, and trustworthy ways to source and reuse water in space is a clear necessity for long-term habitation there.

Current systems, like the Environmental Control and Life Support System (ECLSS) on the ISS, offer a blueprint for closed-loop water reclamation, but they need improvements for future applications. Meanwhile, recent technological and scientific advances are pointing to new ways of finding, purifying, and managing water resources in demanding environments. In a new review, Olawade et al. provide an overview of the current state of extraterrestrial water management, as well as of the field’s prospects and challenges.

Water systems in space need to be closed loop, highly efficient, and durable, all while having low energy requirements, the authors say. Currently, the ECLSS is prohibitively energy intensive, and may not be efficient enough, for use on longer missions. Future suggested approaches for filtration and recycling include photocatalysis to purify water via light, bioreactors to filter urine and wastewater, ion-exchange systems to remove dissolved salts and heavy metals from extracted water, and ultraviolet or ozone disinfection to kill pathogens. Each comes with its own pros and cons: Microbial fuel cells in bioreactors could produce electricity, for example, but photocatalytic purification has low energy demands.

Sourcing water on places like the Moon or Mars would require either extracting water bound up in regolith or drilling into ice bodies. Sufficiently powering water reclamation systems is another concern, making energy-efficient systems a priority. Water system durability is also important, both to protect inhabitants and to reduce the need for onerous maintenance work.

Emerging technologies could meet many of these challenges. The authors point to advances in nanotechnology, which could be used to create highly tailored membranes for filtration that are more effective and resistant to fouling, and to the use of artificial intelligence (AI) to autonomously manage water systems, as two areas of promise. (Water Resources Research, https://doi.org/10.1029/2025WR041273, 2026)

—Nathaniel Scharping (@nathanielscharp), Science Writer

Citation: Scharping, N. (2026), A road map to truly sustainable water systems in space, Eos, 107, https://doi.org/10.1029/2026EO260023. Published on 9 February 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.

Improving the representation of the ice-sheet contribution to sea level within a global inversion framework

Geophysical Journal International - Mon, 02/09/2026 - 00:00
SummaryThe joint use of data from GRACE-like gravity missions and various ocean altimetry missions in a global inversion approach allows to quantify the individual contributions to global and regional sea level budgets. However, the contribution from the Antarctic Ice Sheet (AIS) is subject to large uncertainties mainly depending on the applied strategy to account for effects due to glacial isostatic adjustment (GIA). The large uncertainty of GIA affects estimates of AIS contributions as well as other elements of sea level budgets. Here, we investigate strategies to improve the representation of AIS mass changes within an existing global inversion framework. The framework employs pre-defined, time-invariant spatial patterns, so-called fingerprints, for representing the individual sea-level budget components, including AIS contributions. We improve this inversion method by including additional observations of satellite altimetry over ice sheets, and by further developing the parameterization of AIS ice mass changes. We extend from a basin-wise spatial resolution to a parameterization that resolves time-variable ice mass changes at about 50 km, enabling a better localization of the AIS contributions to global and regional sea level change. From real-data experiments, we obtain ice mass balance estimates that are well within the uncertainty bounds of published reconciled estimates utilizing similar datasets. In particular, inclusion of ice altimetry improves the spatial resolution and at the same time keeps the global inversion results in line with those from regional GRACE analyses. We find differences between inversion results with and without including ice altimetry as an additional observation. These differences are smaller for the time period after 2010 with the availability of CryoSat-2 altimetry having improved sensor technology and high-latitude coverage. This indicates that these differences are caused by ice altimetry errors, whose further characterization and consideration within the estimation remains a future task. Furthermore, the spatial distribution of the differences suggests that they are also related to GIA errors. The improved representation of ice sheets in the global framework developed here provides a prerequisite for working towards minimizing GIA-related errors while assessing the ice sheets’ mass balance.

DeepSubDAS: An Earthquake Phase Picker from Submarine Distributed Acoustic Sensing Data

Geophysical Journal International - Mon, 02/09/2026 - 00:00
SummaryGiven the scarcity of seismometers in marine environments, traditional seismology has limited effectiveness in oceanic regions. Submarine Distributed Acoustic Sensing (DAS) systems offer a promising alternative for seismic monitoring in these areas. However, the existing machine learning model trained on land-based DAS data does not perform well with submarine DAS due to differences in noise characteristics, deployment conditions, and environmental factors. This study presents a machine learning approach tailored specifically to submarine DAS data to enable automated seismic event detection and P and S wave identification. Leveraging DeepLab v3, a neural network architecture optimized for semantic segmentation, we developed a specialized model to handle the unique challenges of submarine DAS data. Our model was trained and validated on a dataset comprising nearly 57 million manually and semi-automatically labeled seismic records from multiple globally distributed submarine sites, providing a robust basis for accurate seismic detection. The model adapts to a variety of deployment scenarios and can process DAS data from cables with different lengths, configurations, and channel spacings, making it versatile for various ocean environments. We thus provide an adaptable and efficient tool for automated earthquake analysis of DAS data, which has the potential to enhance real-time earthquake monitoring and tsunami early warning in submarine environments.

2023–2024 El Niño triggered record-breaking sea level spike along African coastlines, study finds

Phys.org: Earth science - Sun, 02/08/2026 - 18:00
Africa's coastlines are under growing threat as sea levels climb faster than ever, driven by decades of global warming caused by human activity, natural climate cycles, and warming ocean waters. Between 2009 and 2024, the continent experienced a 73% increase in sea-level rise, according to a recent study published in Communications Earth & Environment.

Ancient Yangtze floods linked to Shijiahe decline, new 1,000-year rainfall record shows

Phys.org: Earth science - Sun, 02/08/2026 - 17:00
A new study involving researchers from Oxford's Department of Earth Sciences has finally solved the mystery of what caused the collapse of an Ancient Chinese civilization—finding that widespread flooding was to blame. The findings have been published in National Science Reviews.

Quantifying the role of CME–CME interactions in geomagnetic storm severity: A case study using EUHFORIA

Publication date: 1 February 2026

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

Author(s): Somaiyeh Sabri, Stefaan Poedts

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