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Development of an on-orbit scientific payload care robot with novel maneuvering control

Publication date: 1 May 2026

Source: Advances in Space Research, Volume 77, Issue 9

Author(s): Wenjin Wang, Zhenglin Dai, Nan Li, Shuo Yan, Enze Cui

A newly identified disturbing effect in the LISA pathfinder test mass release into geodesic

Publication date: 1 May 2026

Source: Advances in Space Research, Volume 77, Issue 9

Author(s): Abraham A. Gelan, Matteo Tomasi, Edoardo Dalla Ricca, Francesco Marzari, Carlo Zanoni, Daniele Bortoluzzi

State-dependent Riccati equation control of space inertial sensors via filtered feedback-cascaded extended high-gain observers

Publication date: 1 May 2026

Source: Advances in Space Research, Volume 77, Issue 9

Author(s): Zhiming Yang, Hongfu Wang, Hao Xu, Jinjin Xie, Fan Zhang, Zhu Zhu

Doppler velocity variations based on the height above the visible limb of the Sun

Publication date: 1 May 2026

Source: Advances in Space Research, Volume 77, Issue 9

Author(s): Ding Yuan, Rayhane Sadeghi, Ehsan Tavabi

Enhanced geodetic parameter estimation through three-level integrated VLBI combining quasar, satellite, and space observations

Publication date: 1 May 2026

Source: Advances in Space Research, Volume 77, Issue 9

Author(s): Han Liu, Xiancai Zou, Jiancheng Li

The development of a Hall effect hollow cathode micro-thruster in Harbin Institute of Technology

Publication date: 1 May 2026

Source: Advances in Space Research, Volume 77, Issue 9

Author(s): Chenguang Liu, Jianghong Sun, Tongyu Li, Ruonan Deng, Yan Zhang, Zhongxi Ning, Daren Yu

Features of disturbances during November 4–5, 2023, multi-step geospace storm: comparative study of the “ionosphere-thermosphere” system response

Publication date: 1 May 2026

Source: Advances in Space Research, Volume 77, Issue 9

Author(s): Leonid F. Chernogors, Maksym Yu. Tkachenko

On vertical plasma drift measurements made by a new medium power incoherent scatter radar (MP ISR) mode at the Jicamarca Radio Observatory

Publication date: 1 May 2026

Source: Advances in Space Research, Volume 77, Issue 9

Author(s): Alexander A. Massoud, Anthony A. Abubakar, Fabiano S. Rodrigues, Karim M. Kuyeng, Marcos Inoñán, Danny E. Scipión

Comparison of slow magnetoacoustic waves in coronal loops above sunspots and faculae

Publication date: 1 May 2026

Source: Advances in Space Research, Volume 77, Issue 9

Author(s): Andrei Chelpanov, Nikolai Kobanov

Nonlinear optimal attitude takeover control of failed spacecraft via pseudospectral game-theoretic differential dynamic programming

Publication date: 1 May 2026

Source: Advances in Space Research, Volume 77, Issue 9

Author(s): Xiaoyu Lang, Ruoshen Li, Jialu Cao, Zhen Chen, Xiangdong Liu

An observation-based method to model the magnetic field of coronal mass ejections: Geometrical Measurement Toolbox for CMEs (GeoMeTCME)

Publication date: 1 May 2026

Source: Advances in Space Research, Volume 77, Issue 9

Author(s): Huseyin Cavus, Gani Caglar Coban, Abd-ur Raheem

Personalized task recommendation model based on knowledge graph and behavior inference for satellite swarm

Publication date: 1 May 2026

Source: Advances in Space Research, Volume 77, Issue 9

Author(s): Xiande Wu, Ruochu Yang, Dakai Liu, Xinzhu Sun

Possible connections between solar energetic particles, X-ray solar flares, and sunspot classification

Publication date: 1 May 2026

Source: Advances in Space Research, Volume 77, Issue 9

Author(s): Melike Tırnakçı, Simeon Asenovski, Ali Kilcik

Three-dimensional reconstruction of ionospheric disturbance structures during the pre-storm phase of the 10–11 May 2024 geomagnetic storm using a compressed sensing-based tomographic technique

Publication date: 1 May 2026

Source: Advances in Space Research, Volume 77, Issue 9

Author(s): Wenbin Liang, Xiyan Sun, Yuanfa Ji, Xiaodong Ren, Xizi Jia, Qingyan Chen

A quiet Alaska fault is missing the fluids scientists expected, and it's changing what we know about earthquake zones

Phys.org: Earth science - Mon, 05/04/2026 - 19:00
Not all earthquake faults behave the same. Some stick and snap, causing earthquakes. Others move slowly over time.

Moon Mission Data Reveal Unexpected Cosmic Ray “Shadow”

EOS - Mon, 05/04/2026 - 16:33

The solar system is bathed in galactic cosmic rays: protons and atomic nuclei traveling, nearly at the speed of light, from all directions. Earth’s magnetic field and atmosphere shield us from most of this harmful radiation, but outside of that shelter, the bombardment is strong enough to prove a threat to astronauts.

But a new analysis of data from the Chang’e-4 lunar lander published in Science Advances revealed an extended cosmic ray shelter stretching from Earth at an unexpected angle at least as far as the Moon, though exactly how far is unclear. When the Moon passes through this shelter in its orbit of Earth, the lunar surface experiences a roughly 20% reduction in the galactic cosmic ray flux.

“We found Earth casts kind of a shadow in the galactic cosmic ray space,” said Robert F. Wimmer-Schweingruber, a space physicist at Kiel University in Germany. “This was unexpected, and to me that was the cool part of this paper.”

The surprise came in part because the shape of Earth’s magnetic field is well understood: It forms a strong protective region around the planet known as the magnetosphere, with a long “tail” shaped by the solar wind of charged particles streaming from the Sun.

If the magnetotail is like a person’s shadow cast behind them by sunshine, this newly discovered bubble would be like if that shadow extended to the front of the person as well.

“You would expect an effect inside the tail or as [the Moon goes] through the tail, but we find an effect of the tail ahead of the tail,” said Wimmer-Schweingruber. He noted that if the magnetotail is like a person’s shadow cast behind them by sunshine, this newly discovered bubble would be like if that shadow extended to the front of the person as well and tilted rather than lying along a line connecting Earth, the Sun, and the Moon.

“The observed region of reduced [galactic cosmic ray] flux on the sunward side of the Moon’s orbit outside the geomagnetic field where it is compressed by the solar wind is unexpected,” Brian Flint Rauch wrote in an email. Rauch, a cosmic ray physicist at Washington University in St. Louis who was not involved in the Chang’e-4 study, added that any reduction in cosmic ray exposure is noteworthy for potential astronauts on the Moon.

A 20% decrease in flux during part of the lunar orbit is unlikely to make a large difference in determining when it’s safest for astronauts go out onto the lunar surface. But it might help guide individual decisions in the moment because while spacesuits won’t protect astronauts from cosmic rays, the metal of a habitat or lander would.

Shelter from the Storm

The China National Space Administration’s Chang’e-4 spacecraft was the first successful mission to the lunar farside, landing in the Von Kármán crater on 3 January 2019. As part of its suite of scientific instruments, the probe carried the Lunar Lander Neutron and Dosimetry experiment (LND) developed by Wimmer-Schweingruber and collaborators at Kiel University in an astonishingly rapid 18 months. This detector was designed in part to gauge conditions for human exploration by measuring the radiation on the Moon’s surface, including cosmic rays.

LND collected data between January 2019 and January 2022. Though Apollo astronauts carried radiation dosimeters, those instruments did not provide detailed information about fluctuations in exposure, making LND the primary source for such information from the lunar surface. For that reason, it provided the best data on galactic cosmic rays, which consist mostly of protons accelerated to nearly the speed of light in the remnants of supernovas.

Measurements show the ambient radiation dose on the lunar surface is more than twice as high as on the ISS and nearly 200 times as high as on Earth.

These protons arrive in the solar system from every direction, often undeflected by the magnetic fields of stars or planets. However, Earth’s magnetosphere is strong enough to repel many galactic cosmic rays in low orbit, where the International Space Station (ISS) resides. Meanwhile, measurements show the ambient radiation dose on the lunar surface is more than twice as high as on the ISS and nearly 200 times as high as on Earth, which is a matter of concern for long-term human presence on the Moon.

All of these reasons are why everyone was surprised when LND data revealed Earth’s magnetic protection extends far beyond the magnetosphere and at an angle to the line connecting Earth and the Sun. Lead author Wensai Shang of Shandong University in Weihai, China, worked out that the angle corresponds to the twisting of the Sun’s magnetic field.

“As the Sun rotates, it pulls the solar wind along the solar magnetic field,” Wimmer-Schweingruber said. “That produces a spiral.” Apparently, an unanticipated interaction between this twist in the solar magnetic field and Earth’s magnetic field produces the cosmic ray shelter revealed by LND.

Wimmer-Schweingruber noted that he was extremely skeptical that such results were possible at first. He warned Shang, a graduate student he worked with, that he might be wasting his time looking for cosmic ray anomalies in the Chang’e-4 data. It was only after Shang provided ironclad analyses ruling out other possibilities that he was swayed.

With the LND instrument shut off, researchers need other sources of data to continue the work. Wimmer-Schweingruber expressed particular interest in understanding how cosmic rays produce secondary radiation—especially neutrons, which are very dangerous to humans—when they impact the lunar soil. In the meantime, the general understanding of the radiation environment provided by Chang’e-4 shows we still have some surprises in store as humans explore the solar system.

—Matthew R. Francis (@BowlerHatScience.org), Science Writer

Citation: Francis, M. R. (2026), Moon mission data reveal unexpected cosmic ray “shadow,” Eos, 107, https://doi.org/10.1029/2026EO260137. Published on 4 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.

Want to Predict Wildfire Severity? Look to the State of Vegetation

EOS - Mon, 05/04/2026 - 16:31
Source: AGU Advances

Urbanization, climate change, and fire suppression practices are contributing to increased wildfire risk at the densely populated wildland-urban interface. These factors make fires more unpredictable and harder to manage. In January 2025, this was made devastatingly clear in Los Angeles, when massive wildfires engulfed entire hillsides and canyons, destroying neighborhoods and damaging surrounding ecosystems.

The Mediterranean climate region of California, which stretches up most of the state’s coastline, is a naturally fire-prone landscape because its dry conditions support vegetation growth and also allow for fire to spread easily. As wildfires become more intense, better modeling and understanding of their drivers is crucial in efforts to predict risk.

Ward-Baranyay et al. looked at three of the January 2025 Los Angeles wildfires by analyzing preburn conditions, such as fuel characteristics, topography (including elevation and slope), and wind speed. Satellite observations gathered from the Ecosystem Spaceborne Thermal Radiometer Experiment on Space Station (ECOSTRESS) and the Earth Surface Mineral Dust Source Investigation (EMIT)—precursors to a recently announced NASA mission, the Explorer for Artemis Geology Lunar and Earth (EAGLE)—provided detailed information about the vegetation’s condition before the fires began. The researchers then built a random forest regression model to predict burn severity based on these conditions, ultimately demonstrating that prefire fuel conditions were a key driver of the destructive wildfires’ immediate effects on wildlands.

The model used in the study was able to accurately capture about 60% of the patterns in burn severity. It was most accurate for the Palisades and Hughes fires, but less accurate for the Eaton Fire. This discrepancy could be because the area burned by the Eaton Fire was more topographically variable, meaning its burn severity drivers may not have been fully captured by the model, the researchers suggest. Vegetation type was also a strong performance indicator: Terrain with shrub or scrub cover, the dominant vegetation type, offered the most accurate predictions for burn severity. The burn patterns of forests and other landscape types were less accurately captured.

Fuel conditions emerged as the dominant driver of burn severity, more so than topography or weather. In particular, how abundant, wet, dry, or stressed vegetation is can hint at how severe future fires may be. Tracking and monitoring these fuel conditions, researchers suggest, may be a way to monitor wildfire hazard in California and other fire-prone regions. (AGU Advances, https://doi.org/10.1029/2025AV002179, 2026)

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

Citation: Owen, R. (2026), Want to predict wildfire severity? Look to the state of vegetation, Eos, 107, https://doi.org/10.1029/2026EO260130. Published on 4 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.

Climate change is rewriting winter lakes in a way that looks completely backward at first glance

Phys.org: Earth science - Mon, 05/04/2026 - 15:40
Climate change undoubtedly affects lakes and the functioning of their ecosystems, but seasonal impacts are not always straightforward. An international team of researchers from York University in Canada, the Finnish Environment Institute and the University of Eastern Finland in Joensuu investigated how lake autumn surface warming is associated with winter under-ice temperatures and ice phenology.

Lake mud reveals 7,000 years of Kangaroo Island's complex fire history

Phys.org: Earth science - Mon, 05/04/2026 - 15:20
During the summer of 2019–2020, half of Australia's third largest island was on fire. Kangaroo Island, also known as Karta Pintingga or Karti in local mainland Aboriginal languages, was one of the worst-hit places during the Black Summer fires. Two people lost their lives and almost all the remnant vegetation on the island burned.

Rising seas may unlock coastal carbon stores, with losses up to 90%

Phys.org: Earth science - Mon, 05/04/2026 - 13:40
Rising sea levels could do more than flood coastlines. Research from Missouri University of Science and Technology shows they may also trigger the release of large amounts of carbon stored in coastal ecosystems into the atmosphere.

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