Quantifying Uncertainty in Multiscale Heteroge- Nous Solid Earth Crustal Deformation Data to Im- Prove Understanding of Earthquake Processes Uncertainty Quantification in Nonparametric Re- Gression and Ill-posed Inverse Problems Gaussian Process Emulation of Computer Models with Massive Output
نویسنده
چکیده
Earthquakes can cause tremendous loss of life and property yet predicting the behavior of earthquake fault systems is exceptionally difficult. The Earths crust is complex and earthquakes generate at depth, which is problematic for understanding earthquake fault behavior. Geodetic imaging observations of crustal deformation from Global Positioning System (GPS) and Interferometric Synthetic Aperture Radar (InSAR) measurements make it possible to characterize interseismic and aseismic motions, complementing seismic and geologic observations. Earthquake processes and the associated data are multiscale in the spatial and temporal domains making it particularly difficult to quantify uncertainty. Fusing the observations results in better understanding of earthquake processes and characterization of the uncertainties of each data type.
منابع مشابه
A Web - Service - Based Universal Approach to Heterogeneous
In the past decade, the availability of spacederived crustal deformation data has transformed the solid Earth geophysics field. Global Positioning System (GPS) networks deployed globally provide precise timedependent information on how the Earth’s crust responds to earthquakes and plate tectonic processes. Interferometric Synthetic Aperture Radar (InSAR) data reveal spatially dense information ...
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