Representation, Visualization, and Metadata for Surface Deformation ESDRs derived from GPS Time Series

As part of a NASA MEaSUREs project and its contribution to EarthScope, we are producing a combined 24-hour position time series for more than 1000 stations in Western North America based on independent analyses of continuous GPS data at JPL (using GIPSY software) and at SIO (using GAMIT software), using the SOPAC archive as a common source of metadata. Included are all EarthScope/PBO stations as well as stations from other networks still active (SCIGN, BARD and PANGA), and pre-PBO era data some already two decades old. The time series are appended weekly and the entire data set is filtered once a week using a modified principal component analysis (PCA) algorithm. Both the unfiltered and filtered data undergo a time series analysis with QOCA software. All relevant time series are available through NASA's GPS Explorer data portal and its interactive Java-based time series utility. We present an overview of our workflow for generating SESES ESDRs, quality checking, and uncertainty estimates for positions and time series model parameters such as velocities and offsets. We will also present how the data record uncertainties are stored in metadata and presented through GPS Explorer. The importance of understanding these uncertainties will be demonstrated through examples of transient deformation signals, that is time series that deviate from linear behavior due to coseismic and postseismic deformation, slow slip events, volcanic events, and strain anomalies.