Results 141 to 150 of about 96,657 (309)

Scientific Rationale and Requirements for a Global Seismic Network on Mars [PDF]

, 1991
Following a brief overview of the mission concepts for a Mars Global Network Mission as of the time of the workshop, we present the principal scientific objectives to be achieved by a Mars seismic network.
Anderson, Don L., Banerdt, W. Bruce, Butler, Rhett G., Davis, Paul M., Duennebier, Frederick K., Nakamura, Yosio, Okal, Emile A., Phillips, Roger J., Solomon, Sean C.   +8 more
core   +1 more source

Overview of the MMT 60‐Day GEER Experiment on Geologic Samples at Venus Surface Conditions

Journal of Geophysical Research: Planets, Volume 130, Issue 12, December 2025.
Abstract Laboratory experiments on the behavior of rock and mineral samples under Venus conditions can yield a better understanding of gas‐solid chemical weathering on the Venus surface. The Glenn Extreme Environments Rig (GEER) vessel can maintain Venus surface temperature, pressure and a nine‐gas atmosphere for months.
Martha S. Gilmore, Alison R. Santos, Jeffrey Balcerski, Laura B. Breitenfeld, M. Darby Dyar, Daniel Gerges, Joern Helbert, Ian Henry, Noam Izenberg, Jennifer M. Jackson, Tibor Kremic, Dorothy Lukco, Molly McCanta, Craig Motil, Kyle Phillips, Sara T. Port, Joseph Rymut, Maximilian C. Scardelletti, Mark Sprouse, Mikhail Yu. Zolotov   +19 more
wiley   +1 more source

The International Seismological Summary [PDF]

, 1940

openalex   +1 more source

Source rupture process, directivity and and Coulomb stress change of the 12 January 2010 (Port-au-Prince Haiti, Mw7.0) earthquake [PDF]

, 2010
The Haiti earthquake occurred on Tuesday, January 12, 2010 at 21:53:10 UTC. Its epi- center was at 18.46 degrees North, 72.53 degrees West, about 25 km WSW of Haiti’s capital, Port-au-Prince, along the tectonic boundary between Caribbean and North ...
Bezzeghoud, M, Borges, JF, Caldeira, B
core  

LFW2BBP: Broadband Ground‐Motion Parameters Estimation Using Physics‐Based Simulated Low‐Frequency Waveforms and Deep Learning

Journal of Geophysical Research: Machine Learning and Computation, Volume 2, Issue 4, December 2025.
Abstract Accurate prediction of broadband ground motion parameters is important for earthquake disaster prevention and mitigation. Due to the lack of high wave number components in the source rupture process and velocity models, physics‐based ground motion simulation methods can only reliably produce low‐frequency ground motions (< ${< } $1 Hz).
Yuxing Pan, Nan Zang, Wei Zhang, Xiaofei Chen   +3 more
wiley   +1 more source

Seismic Denoising by Deep Learning From Natural Repeating Earthquakes

Journal of Geophysical Research: Machine Learning and Computation, Volume 2, Issue 4, December 2025.
Abstract Effective seismic waveform denoising is crucial for advancing our understanding of Earth's subsurface structures and dynamics. Recently, deep learning‐based denoising methods have emerged and shown remarkable performance in improving the signal‐to‐noise ratio (SNR) of seismic waveforms.
Feiyi Wang, Yi Yang, Jianwei Ma
wiley   +1 more source

Longwave radiation anomalies associated with seismic activity in the northern Tibetan Plateau

Frontiers in Earth Science
Seismically active northern Tibetan Plateau necessitates the application of remote sensing-driven earthquake precursor detection. We applied wavelet transform and power spectrum analysis to outgoing longwave radiation (OLR) from 37 M ≥ 5.0 earthquakes ...
Yifei Gong, Xiao Guo, Yuansheng Zhang, Meijiao Zhong, Dingnan Guo, Yuanyan Xu, Qiulin Qin, Yingwen Fu   +7 more
doaj   +1 more source

A simple approach to 3D shallow refraction seismology [PDF]

, 2001
Derecke Palmer
openalex   +1 more source

Explainable Seismic Event Discrimination: Improved Explainability With Vision Transformers

Journal of Geophysical Research: Machine Learning and Computation, Volume 2, Issue 4, December 2025.
Abstract The discrimination of seismic events traditionally relies on manual expert analysis or cross‐correlation techniques for pattern recognition. Although flexible algorithms from deep learning, such as convolutional neural networks, have demonstrated high discrimination accuracy for different seismic event origins based on spectral characteristics,
Valentin Kasburg, Markus Zehner, Marcel van Laaten, Jozef Müller, Nina Kukowski   +4 more
wiley   +1 more source

Emerging technologies and supporting tools for earthquake disaster management: A perspective, challenges, and future directions

Progress in Disaster Science
Seismology is among the ancient sciences that concentrate on earthquake disaster management (EQDM), which directly impact human life and infrastructure resilience. Such a pivot has made use of contemporary technologies.
Mohamed S. Abdalzaher, Moez Krichen, Francisco Falcone   +2 more
doaj   +1 more source