Results 91 to 100 of about 839,963 (209)

An Analysis of Astronaut Performance Capability in the Lunar Environment. Volume 2 - Performance Capability Support Data [PDF]

Astronaut performance capability in lunar ...
Bender, H. E., Kahn, M. H., Malone, T. B.   +2 more
core   +1 more source

The Impact of Erosion Efficiency on Rift‐Inversion Orogen Evolution: Implications for Serpentinization‐Derived Natural H2 Resources

Journal of Geophysical Research: Solid Earth, Volume 131, Issue 5, May 2026.
Abstract Natural hydrogen gas (H2) generated through the serpentinization of mantle rocks is a possible source of clean energy. For efficient serpentinization and large‐scale H2 generation to occur, mantle rocks need to be brought near the surface (exhumed) into a favorable temperature range (the serpentinization window) and in contact with water. Rift‐
Frank Zwaan, Anne C. Glerum, Sascha Brune, Dylan A. Vasey, John B. Naliboff, Gianreto Manatschal, Eric C. Gaucher   +6 more
wiley   +1 more source

An Aeolian Depositional Sequence Shaped by Near‐Surface Water at the Base of the Layered Sulfate Unit, Gale Crater, Mars

Journal of Geophysical Research: Planets, Volume 131, Issue 5, May 2026.
Abstract The basal strata of the orbitally defined Layered Sulfate unit (LSu) in Gale crater, Mars, marks the end of a major mineralogical transition from clay‐to sulfate‐bearing stratigraphy. This has previously been attributed to a period of significant aridification of Gale's climate. Here, we present ground‐based observations by the Curiosity rover
Amelie L. Roberts, Sanjeev Gupta, Aster Cowart, Lauren A. Edgar, William Rapin, William E. Dietrich, Edwin Kite, Steven G. Banham, Joel M. Davis, Claire A. Mondro, Dave M. Rubin, John P. Grotzinger, William Farrand, Linda Kah, Kevin Lewis, Alexander Bryk, Catherine Weitz, Rachel Y. Sheppard, Gwénaël Caravaca, Stéphane Le Mouélic, Emma R. Harris, Patrick J. Gasda, Aileen Yingst, Deirdra Fey, Jeffrey R. Johnson, Gerhard P. Paar, Abigail A. Fraeman, Ashwin R. Vasavada   +27 more
wiley   +1 more source

Exploring Ways to Reduce Biases in a Hybrid Global Climate Model With Machine‐Learned Moist Physics

Journal of Advances in Modeling Earth Systems, Volume 18, Issue 5, May 2026.
Abstract In a previous study (Han et al., 2023, https://doi.org/10.1029/2022ms003508), we implemented a deep convolutional residual neural network for moist physics into the 3‐D real‐geography CAM5 and carried out a stable multi‐year integration successfully. However, the simulation has large temperature and moisture biases in high latitude troposphere
Yilun Han, Guang J. Zhang, Yong Wang
wiley   +1 more source

DeepOT: A Deep Learning Framework for Pixel‐Level Ground Surface Displacement Estimation From SAR Amplitude Imagery

Earth and Space Science, Volume 13, Issue 5, May 2026.
Abstract Monitoring ground surface displacement is critical for understanding geophysical processes and mitigating natural hazards, yet conventional Synthetic Aperture Radar (SAR) techniques are often limited by decorrelation, complex terrain, and heterogeneous motion.
Jinwoo Kim, Hying‐Sup Jung, Zhong Lu
wiley   +1 more source

An Introduction to the CenPRIS Ocean Research Cluster ‐ ORES [PDF]

The initial main theme of CenPRIS’s ocean research cluster is “connecting oceans” - an allusion to CenPRIS’s eventual focus on the Straits of Malacca as a body of water or maritime space that connects its littoral states - Thailand, Indonesia, Malaysia ...
Azhari, Mhd Karim
core   +1 more source

Chapter 6 Material properties and geohazards

Engineering Geology Special Publication, 2017
M. Culshaw, M. Culshaw, D. Entwisle, Dave Giles, T. Berry, A. Collings, V. Banks, L. Donnelly   +7 more
semanticscholar   +1 more source

Quantifying crustal stress in the Sinai Peninsula caused by gravitational potential energy and its tectonic implications. [PDF]

Sci Rep
Jallouli C, Abdelfattah AK, Alzahrani H.
europepmc   +1 more source

Geology-driven modeling: A new probabilistic approach for incorporating uncertain geological interpretations in 3D geological modeling

Engineering Geology, 2022
R. Madsen, A. Høyer, L.T. Andersen, I. Møller, T. Hansen   +4 more
semanticscholar   +1 more source

Failure mechanism of a loess slope under extreme rainfall through a model test study of Shixiakou, Lanzhou. [PDF]

Sci Rep
Li Y, Xin Y, Tong M, Zhu Q, Hou Y, Ding G, Liu J, Liu P.   +7 more
europepmc   +1 more source