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Cloud-Based Gnss Processing Pipeline for the Shakealert Earthquake Early Warning System

Description: 

ShakeAlert is an earthquake early warning (EEW) system that modernizes earthquake response procedures by alerting people and automated systems before strong/damaging ground shaking arrives. EarthScope is working with the United States Geological Survey (USGS) to integrate the Global Navigation Satellite System (GNSS) data into the ShakeAlert monitoring system. Unlike seismic data, GNSS positions do not saturate and capture sensor displacement during strong shaking. EarthScope’s Data Services (DS) is developing a cloud-native, low-latency processing pipeline that normalizes real-time position streams from various sources, including receivers operated by ShakeAlert partner networks, raw GNSS observations, and pre-processed position data.

Real-time GNSS position data are used to rapidly determine Peak Ground Displacement (PGD) for near source, strong earthquakes ~>Mw6. Algorithms use PGD data to rapidly estimate the magnitude of an event during, or soon after, the fault rupture sequence. Earthquake size estimates calculated from PGD data are robust and inform the geographical extent of an issued ShakeAlert warning. EarthScope DS designed the cloud-native nature of the newly developed ShakeAlert GNSS processing pipeline to facilitate the integration of new technologies, including the adaptation of machine learning algorithms to real-time GNSS and seismic data streams. The new ShakeAlert system developed in partnership with the USGS will enable the research and operational hazard response communities to process and respond to seismic events accurately by leveraging the advantages of cloud-based operations on geophysical data.

Session: Leveraging Cutting-Edge Cyberinfrastructure for Large Scale Data Analysis and Education [Poster Session]

Type: Poster

Date: 5/2/2024

Presentation Time: 08:00 AM (local time)

Presenting Author: Timothy

Student Presenter: No

Invited Presentation: 

Authors