Applicants are sought to develop crustal deformation models and simulations that integrate geodetic data in the form of GPS, UAVSAR, and InSAR. Earthquake science depends greatly on numerous data types spanning spatial scales from microscopic
to global and timescales of fractions of seconds to millions of years. Crustal deformation measurements of the last decade illuminate plate tectonic motions and interaction between fault systems. Geodetic imaging data provide secular and time-dependent information about crustal deformation associated with plate tectonics and earthquakes. These data can be used to constrain and validate models leading to a better understanding of earthquakes and interactions of earthquake faults.
Active regions can be identified and compared to patterns of seismicity to better understand how various signatures in geodetic or seismicity data provide clues to earthquake likelihood and hazard [1]. A wealth of UAVSAR currently being
collected shows numerous features in terms of discontinuities, fault creep, development of fault zones, and deformation from earthquakes [2]. GPS data provided detailed, though sparse, times series of that deformation. These data can be mined and modeled to understand earthquake fault processes, transient deformation, stress migration and stress transfer. QuakeSim is a multi-source, synergistic, data-intensive computing infrastructure for modeling earthquake fault models individually and as part of complex interacting systems. Remotely sensed geodetic data are integrated with models and pattern analysis applications in a rich web-based and visualization environment. The goal is to integrate heterogeneous data and various tools to efficiently develop models, allow rapid exploration of large datasets, and identify subtle but important features in large datasets. Applicants are sought to improve QuakeSim data, tools, and environment, and integrate geodetic imaging data into various models of crustal deformation in order to improve understanding of earthquake fault systems and earthquake potential. Analysis of existing data will help to define NASA’s planned DESDynI-R mission, and will provide infrastructure for
analyzing, modeling, and interpreting the vast amounts of data that this mission will produce and that are currently being produced by ground-based GPS networks and other airborne and spaceborne assets.
[1] Rundle, J.B., J.R. Holliday, M. Yoder, M.K. Sachs, A. Donnellan, D.L. Turcotte, K.F. Tiampo, W. Klein, L.H. Kellogg, Earthquake precursors: activation or quiescence, Geophys. J. Int., 187, 225-236, DOI: 10.1111/j.1365-246X.2011.05134.x, Earthquake precursors: activation or quiescence, Geophys. J. Int., 187, 225-236, DOI: 10.1111/j.1365-246X.2011.05134.x, 2011.
[2] Donnellan, A., J. Parker, S. Hensley, B. Bills, B. Hawkins, P. Rosen, Y. Zheng, Y. Lou, J. Rundle, T. Herring, L. Grant
Ludwig, M. Pierce, G. Fox, Y. Ma, J. Wang, D. McLeod, R. Al-Ghanmi, A. Grippo, Conjugate Faulting, Stepover, and Inflation
Associated with the 2010 Magnitude 7.2 El Mayor-Cucapah Earthquake Observed in UAVSAR and GPS Measurements,
Geochemistry, Geophysics, Geosystems, submitted.