GEOSS-based Thermal Anomalies Soatio-Temperal Analysis For Seismicity:Method And Verification

The critical issues in the research and practice of earthquake disaster prevention and reduction are how to recognize the anomaly information related to tectonic activity from massive Earth observations, and how to reveal it’s qualitative and quantitative evolution features in time and space. In consideration of the coupling effect among multiple Earth’s spheres, this thesis has studied seismicity thermal anomaly with worldwide typical earthquakes being examples, using multiple parameters provided by the developing Global Earth Observing System of Systems (GEOSS), including surface temperature, air temperature, thermal infrared brightness temperature, daily temperature range (DTR), outgoing long-wave radiations (OLR), and surface latent heat flux (SLHF), as well as satellite cloud map and ionosphere parameters. A lithosphere-coversphere-atmosphere (LCA) coupling model is suggested and a deviation-time-space-thermal (DTS-T) method for GEOSS-based seismicity anomaly recognition is proposed; a NCEP-FNL-based per-pixel method is proposed and a new data source MERRA with better solutions in space and time is introduced; Furthermore, the relation between TIR anomaly and earthquake cloud is demonstrated, the synchronous of SLHF and ionosphere anomalies before earthquakes are analyzed.