Results 161 to 170 of about 740 (225)
Surface Geology and Evolution of Asteroid Ryugu: Insights From Hayabusa2 Global Mapping
Abstract Rubble‐pile asteroids, characterized by loose aggregates of debris held together by gravity, represent both a significant planetary hazard and a key to understanding planetesimal formation. Geologic mapping of these bodies provides essential insights into their origins, evolution, and surface processes.
Lisa M. Vincent +8 more
wiley +1 more source
Re-recognized universality of Kozai oscillation on three-body dynamics. [PDF]
Iye M, Ito T.
europepmc +1 more source
Abstract Io's tenuous atmosphere consists primarily of sulfur dioxide (SO2 ${\text{SO}}_{2}$) with observed column densities of approximately 1016−1017 $1{0}^{16}-1{0}^{17}$ cm−2 ${\text{cm}}^{-2}$. However, it remains uncertain whether the sublimation of SO2 ${\text{SO}}_{2}$ surface frost or volcanic outgassing is the primary source of the SO2 ...
Leander Schlarmann +4 more
wiley +1 more source
Abstract Lava tubes and caves are key exploration targets on the Moon and Mars due to their potential to serve as natural infrastructure for future crewed missions. However, identifying these structures efficiently and reliably remains a major challenge.
J. Martin de Blas +6 more
wiley +1 more source
Cross-NASA divisional relevance of an Ice Giant mission. [PDF]
Cohen IJ, Rymer AM.
europepmc +1 more source
Abstract Accumulation of dust on the Lunar and Martian surfaces plays a critical role in both surface evolution and human exploration efforts, limiting equipment lifetimes and obscuring optical surfaces. Yet, the underlying physics of surface soiling is still poorly understood.
G. Griffin +3 more
wiley +1 more source
China's top 10 breakthroughs in science and technology in 2023. [PDF]
Zhu H.
europepmc +1 more source
Forecasting Local Geomagnetic Disturbances Using Machine Learning: A Multi‐Station Approach
Abstract Geomagnetic indices such as SYM‐H capture global disturbances but fail to resolve regional impacts critical for infrastructure resilience. We present a machine learning model to forecast the Local Disturbance Index (LDi), a validated regional geomagnetic index.
Armando Collado‐Villaverde +3 more
wiley +1 more source
DFOS Technology in Geoengineering Monitoring in the Past 35 Years: A Bibliometric Analysis. [PDF]
Wang J +4 more
europepmc +1 more source
The UK Met Office’s Coronal Mass Ejection (CME) Ensemble Prediction System
Abstract We describe the 24‐member Coronal Mass Ejection (CME) ensemble prediction system that is used operationally at the UK's Met Office Space Weather Operations Center (MOSWOC) to forecast the arrival time of CMEs at Earth. The ensemble system was built on ad‐hoc assumptions and there is the need to investigate whether the technique can be improved
Siegfried Gonzi +8 more
wiley +1 more source

