2007 AGU Fall meeting

10-14 December 2007, (Monday-Friday)
San Francisco, CA, USA

S21: Theory and Applications of Electromagnetic and Thermal Anomalies During Earthquakes

http://www.agu.org/meetings/fm07/?content=search&show=detail&sessid=669

Convener: Dimitar Ouzounov
NASA GSFC/SSAI/GMU, USA 
ouzounov@core2.gsfc.nasa.gov

Sergey Pulinets
Instituto of Geophysics, UNAM, MEX 
pulse@geofisica.unam.mx

Michel Parrot
LPCE/CNRS, FRA 
mparrot@cnrs-orleans.fr

Katsumi Hattori
Chiba University, JPN 
hattori@earth.s.chiba-u.ac.jp

Patrick Taylor
NASA GSFC, USA 
patrick.taylor@nasa.gov

Recent earthquakes have provided renewed efforts to understand earthquake seismo-tectonic relationships by 
proposing new methods of analysis, such as Thermal infrared (TIR) satellite imaging, and an ensemble of 
electromagnetic (EM) satellite and ground data. Recent advances in solid earth sciences and remote sensing 
capabilities established the possibility of testing the theory of electromagnetic Lithosphere-Atmosphere-Ionosphere 
coupling (LAIC) between the boundary layer of the atmosphere and the ionosphere during the time of the large 
earthquakes. Further tests would be: (1) Whether such signals precede the majority of earthquakes; (2) What is the 
quantitative interrelationship between LAIC processes observed during the earthquakes and active tectonics; (3) 
What is the impact of meteorological changes on the monitoring of the transient surface thermal field over 
tectonically active regions and; (4) If the ionosphere observed signals related to LAIC have shown plasma type of 
variations?. This session will consider the causes, methodology and observations of EM phenomena related to 
earthquake activity. Main topics include: a.) EM signals caused by stress changes in the Earth's crust; b.) theories 
relating tectonic stress to changes in electrical, electro-chemical and thermodynamic processes; c.) case studies, 
reanalysis of data and new information; d.) ground , GPS and space-based methods for EM and TIR observation, 
validation and data mining and; e.) modeling of EM phenomena in the lithosphere, atmosphere and ionosphere. 
Contributions are solicited on all potential EM earthquake related phenomena.  

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