SCEC Award Number 14014 View PDF
Proposal Category Workshop Proposal
Proposal Title Community Geodetic Model Workshop
Investigator(s)
Name Organization
Jessica Murray United States Geological Survey Rowena Lohman Cornell University David Sandwell University of California, San Diego
Other Participants
SCEC Priorities 1d, 5b, 2d SCEC Groups Geodesy, SDOT, Transient Detection
Report Due Date 10/06/2014 Date Report Submitted N/A
Project Abstract
 The development of a Community Geodetic Model (CGM) is a SCEC4 initiative with the goal of producing a comprehensive geodetic time series data product that leverages the complimentary spatial and temporal features of Global Positioning System (GPS) and Interferometric Synthetic Aperture Radar (InSAR) data. Previous workshops supporting this effort included discussions aimed at identifying the requirements for data going into such a model, as well as methods for selecting the appropriate spatial and temporal resolution. The September 2014 workshop involved GPS- and InSAR-focused discussions on progress and next steps toward generating the component parts of the CGM as well as joint discussion of ways to bring the two data-types together.
Intellectual Merit Development of the CGM is directly tied to the fundamental problems of earthquake physics that are central to the SCEC science plan. By bringing together experts in the field of geodesy to identify and implement the best strategies for processing, analyzing, and merging the wealth of GPS and InSAR data now available for southern California, the CGM will not only provide input for a variety of SCEC science activities but will be a valuable resource for a broad range of studies both within and beyond the field of earthquake science.
Broader Impacts The CGM enhances the data infrastructure available for a variety of follow-on work that includes slip rate and strain rate mapping for hazard assessment, transient detection, and stressing rate models. The CGM will also be useful for non-earthquake related investigations, for example of hydrological processes. The CGM is also a potential resource for educational purposes, for example to provide real data for lab exercises or lectures.
Exemplary Figure Figure 1: An example of the complementary nature of GPS and InSAR deformation rate estimates. InSAR and GPS data show near-fault creep, uplift, and distributed yielding on the southern San Andreas fault (SAF). Transpressional areas of the SAF show localized creep in a narrow zone while transtensional areas exhibit distributed deformation across a broader zone. From Lindsey et al., JGR in review, 2014.