Shakemap’s Sensitivity to Origin Parameters in the Presence of Dense Instrumental Data
Description:
The Pacific Northwest Seismic Network (PNSN) automatically generates ShakeMaps for earthquake rapid response following all M≥3.0 earthquakes in Washington and Oregon. Rapid growth of the PNSN in recent years has resulted in an almost doubling of stations available to feed data to ShakeMap. In the presence of instrumental data, ShakeMaps can show significant differences between versions when origins shift in location or magnitude. To evaluate these differences we create a suite of ShakeMaps for data-rich earthquakes including the 2020 M5.7 Magna, Utah, the 2021 M6.4 and M7.1 Ridgecrest, CA events and other recent events. We assess how sensitive ShakeMaps are to input parameters when combined with changes to the set of stations contributing data nearest the epicenter. We also explore the differences in ShakeMaps to resampling the data set with different station densities to understand the possible range of results for earthquakes in the eastern parts of our network where station density is lower.
Session: ShakeMap-related Research, Development, Operations, Applications and Uses [Poster]
Type: Poster
Date: 4/19/2023
Presentation Time: 08:00 AM (local time)
Presenting Author: Alex Hutko
Student Presenter: No
Invited Presentation:
Authors
Alex Hutko
Presenting Author
Corresponding Author
ahutko@uw.edu
Pacific Northwest Seismic Network
Renate Hartog
jrhartog@uw.edu
Pacific Northwest Seismic Network
Shakemap’s Sensitivity to Origin Parameters in the Presence of Dense Instrumental Data
Category
ShakeMap-related Research, Development, Operations, Applications and Uses