Christine Ruhl
2018-01-08 17:58:07
Dear Colleagues,
Please consider submitting an abstract to the *Early Warning for Large
Earthquake and Tsunamis: Challenges, Case Studies, and Innovations
*session planned
for the 2018 Seismological Society of America Annual Meeting in Miami, FL
from 14-17 May, 2018. The session description is posted below and the *deadline
to submit is January 24, 2018*. Apologies for cross-postings!
Early Warning for Large Earthquakes and Tsunamis: Challenges, Case Studies
and Innovations
Earthquake early warning (EEW) algorithms attempt to characterize
earthquake ruptures and ground motion in real-time and provide advance
notifications before the arrival of damaging seismic waves and subsequent
hazards (e.g., tsunamis). EEW approaches and their products have evolved
over the past decade with recent advances in instrumentation, rapid source
characterization, real-time ground motion prediction and communication
technologies. Today’s early warning systems can go much beyond this basic
function, providing estimates of shaking intensity and potential damage for
implementation of post-event emergency action plans. However, many
challenges still exist in for creating effective EEW systems. For instance,
while medium-sized earthquakes are sufficiently well described with very
simple point source models, characterizing large ruptures is complex.
Recent experiences with EEW systems that were in operation during large
earthquakes (e.g. the Mw7.0 2016 Kumamoto, Japan and Mw7.1 2017
Morelos-Puebla, Mexico earthquakes), as well as offline studies, are
starting to shape our expectations of the performance we can realistically
expect from EEW systems.
In this session, we invite scientists, engineers, practitioners and policy
makers to present work related to EEW applications and case studies. Some
topics might include:
– innovative event recognition, source characterization and false alert
avoidance algorithms;
– characterization of uncertainties stemming from EEW algorithms and ground
motion prediction in real-time;
– comparison of point-source and finite-fault approaches;
– performance assessment for long-duration and complex ruptures;
– integration of real-time GPS data in EEW systems;
– real-time ground motion and damage prediction;
– exploration of local and global tsunami early warning;
– EEW case studies, testing and performance evaluation of existing systems;
and
– discussion of implications for earthquake hazard, risk and response
models with respect to the science community as well as private and
government entities.
Session Conveners
Christine J. Ruhl, University of California, Berkeley, <cruhl<at>berkeley.edu>
Emrah Yenier, Nanometrics Inc., <emrahyenier<at>nanometrics.ca>
Men-Andrin Meier, California Institute of Technology, <mmeier<at>caltech.edu>
Neil Spriggs, Nanometrics Inc., <neilspriggs<at>nanometrics.ca>
Diego Melgar, University of Oregon, <dmelgarm<at>uoregon.edu>
Marlon D. Ramos, University of Michigan, <ramosmd<at>umich.edu>
David Easton, Nanometrics Inc., < davideaston<at>nanometrics.ca>
Cheers,
Christine Ruhl
--
Christine J. Ruhl, Ph.D.
Postdoctoral Fellow
Seismological Laboratory
University of California, Berkeley
cruhl<at>berkeley.edu
Please consider submitting an abstract to the *Early Warning for Large
Earthquake and Tsunamis: Challenges, Case Studies, and Innovations
*session planned
for the 2018 Seismological Society of America Annual Meeting in Miami, FL
from 14-17 May, 2018. The session description is posted below and the *deadline
to submit is January 24, 2018*. Apologies for cross-postings!
Early Warning for Large Earthquakes and Tsunamis: Challenges, Case Studies
and Innovations
Earthquake early warning (EEW) algorithms attempt to characterize
earthquake ruptures and ground motion in real-time and provide advance
notifications before the arrival of damaging seismic waves and subsequent
hazards (e.g., tsunamis). EEW approaches and their products have evolved
over the past decade with recent advances in instrumentation, rapid source
characterization, real-time ground motion prediction and communication
technologies. Today’s early warning systems can go much beyond this basic
function, providing estimates of shaking intensity and potential damage for
implementation of post-event emergency action plans. However, many
challenges still exist in for creating effective EEW systems. For instance,
while medium-sized earthquakes are sufficiently well described with very
simple point source models, characterizing large ruptures is complex.
Recent experiences with EEW systems that were in operation during large
earthquakes (e.g. the Mw7.0 2016 Kumamoto, Japan and Mw7.1 2017
Morelos-Puebla, Mexico earthquakes), as well as offline studies, are
starting to shape our expectations of the performance we can realistically
expect from EEW systems.
In this session, we invite scientists, engineers, practitioners and policy
makers to present work related to EEW applications and case studies. Some
topics might include:
– innovative event recognition, source characterization and false alert
avoidance algorithms;
– characterization of uncertainties stemming from EEW algorithms and ground
motion prediction in real-time;
– comparison of point-source and finite-fault approaches;
– performance assessment for long-duration and complex ruptures;
– integration of real-time GPS data in EEW systems;
– real-time ground motion and damage prediction;
– exploration of local and global tsunami early warning;
– EEW case studies, testing and performance evaluation of existing systems;
and
– discussion of implications for earthquake hazard, risk and response
models with respect to the science community as well as private and
government entities.
Session Conveners
Christine J. Ruhl, University of California, Berkeley, <cruhl<at>berkeley.edu>
Emrah Yenier, Nanometrics Inc., <emrahyenier<at>nanometrics.ca>
Men-Andrin Meier, California Institute of Technology, <mmeier<at>caltech.edu>
Neil Spriggs, Nanometrics Inc., <neilspriggs<at>nanometrics.ca>
Diego Melgar, University of Oregon, <dmelgarm<at>uoregon.edu>
Marlon D. Ramos, University of Michigan, <ramosmd<at>umich.edu>
David Easton, Nanometrics Inc., < davideaston<at>nanometrics.ca>
Cheers,
Christine Ruhl
--
Christine J. Ruhl, Ph.D.
Postdoctoral Fellow
Seismological Laboratory
University of California, Berkeley
cruhl<at>berkeley.edu
